Literatur

Sie wollen tiefer einsteigen? Aktuelle Literaturempfehlungen zum Thema Forschungsdatenmanagement.

Rechtliche Fragestellungen

  1. Wirth, T. (2020). Die Pflicht zur Löschung von Forschungsdaten – Urheber- und Datenschutzrecht im Widerspruch zu den Erfordernissen guter wissenschaftlicher Praxis? Zeitschrift für Urheber- und Medienrecht (ZUM), 64(8/9), Article 8/9. https://www.zew.de/publikationen/die-pflicht-zur-loeschung-von-forschungsdaten-urheber-und-datenschutzrecht-im-widerspruch-zu-den-erfordernissen-guter-wissenschaftlicher-praxis
  2. Ostendorff, P., & Linke, D. (2019). Best-Practices im Umgang mit rechtlichen Fragestellungen zum Forschungsdatenmanagement (FDM). Bibliotheksdienst, 53(10–11), Article 10–11. https://doi.org/10.1515/bd-2019-0098
  3. Stietenroth, D., Nieschulze, J., & Arend, K. (2005). Rechtliche Aspekte und Umsetzung des Datenmanagement in internationalen interdisziplinären Forschungsprojekten. Zeitschrift Für Agrarinformatik, 3, 64–75. http://www.gil.de/publications/zai/archiv/11_3_2005.pdf
  4. Brettschneider, P., Axtmann, A., Böker, E., & von Suchodoletz, D. (2021). Offene Lizenzen für Forschungsdaten - Rechtliche Bewertung und Praxistauglichkeit verbreiteter Lizenzmodelle. O-Bib. Das Offene Bibliotheksjournal, 8(3), Article 3. https://doi.org/10.5282/o-bib/5749
  5. Kubis, M., Naczinsky, M., Selzer, A., Sperlich, T., Steiner, S., & Waldmann, U. (2019). Der digitale nachlass - Eine Untersuchung aus rechtlicher und technischer Sicht (F.-I. für Sichere Informationstechnologie, U. Bremen/IGMR, & U. Regensburg, Hrsg.). https://doi.org/10.24406/sit-n-572149
  6. Guibault, L., & Wiebe, A. (2013). Safe to be open. Study on the protection of research data and recommendations für access and usage. Universitätsverlag Göttingen.
  7. Volkmann, S., Feiten, L., Zimmermann, C., Sester, S., Wehle, L., & Becker, B. (2016). Digitale Tarnkappe: Anonymisierung in Videoaufnahmen. In H. C. Mayr & M. Pinzger (Hrsg.), GI-Jahrestagung: Bd. P-259 (S. 413–426). GI. http://dblp.uni-trier.de/db/conf/gi/gi2016.html#VolkmannFZSWB16
  8. Lauber‐Rönsberg, A., Krahn, P., & Baumann, P. (2018). Gutachten zu den rechtlichen Rahmenbedingungen des Forschungsdatenmanagements. https://tu-dresden.de/gsw/jura/igewem/jfbimd13/ressourcen/dateien/publikationen/DataJus_Zusammenfassung_Gutachten_12-07-18.pdf?lang=de
  9. Hannover, L. U., & Informationsbibliothek, T. (2018). FAQs Zu Rechtlichen Aspekten Im Umgang Mit Forschungsdaten. https://doi.org/10.5281/zenodo.1173546
  10. Johannes, P. C., Potthoff, J., Roßnagel, A., Neumair, B., Madiesh, M., & Hackel, S. (2013). Beweissicheres elektronisches Laborbuch (Nomos, Hrsg.).
  11. Meyermann, A., & Porzelt, M. (2014). Hinweise zur Anonymisierung von qualitativen Daten. forschungsdaten bildung informiert, 1, Article 1. https://www.forschungsdaten-bildung.de/get_files.php?action=get_file&file=fdb-informiert-nr-1.pdf
  12. Ebel, T., & Meyermann, A. (2015). Hinweise zur Anonymisierung von quantitativen Daten. forschungsdaten bildung informiert, 3, Article 3. https://www.forschungsdaten-bildung.de/get_files.php?action=get_file&file=fdb-informiert-nr-3.pdf
  13. Klimpel, P. (2018). Mehr als Materialbewahrung Über die Bedeutung von Rechteinformationen und Lizenzierung in Bibliotheken. Lizenzangaben und Rechtedokumentationen im Dialog – Datenflüsse nachhaltig gestalten.
  14. Nationalbibliothek, D. (Hrsg.). (2018). Lizenzangaben und Rechtedokumentationen im Dialog - Datenflüsse nachhaltig gestalten.
  15. Kreutzer, T., & Lahmann, H. (2019). Rechtsfragen bei Open Science. Hamburg University Press. https://doi.org/10.15460/HUP.195
  16. Kleinkopf, F., Jacke, J., & Gärtner, M. (2021). Urheberrechtliche Grenzen der Nachnutzung wissenschaftlicher Korpora bei computergestützten Verfahren und digitalen Ressourcen.
  17. Depping, R. (2023). Rechtliche Aspekte des Forschungsdatenmanagements - Eine Einführung.
  18. Kreutzer, T., & Fischer, G. (2023). Urheberrecht in der Wissenschaft. Ein Überblick                    für Forschung, Lehre und Bibliotheken. Zenodo. https://doi.org/10.5281/zenodo.8284551

Forschungssoftware

  1. Gruenpeter, M., Granger, S., Monteil, A., Chue Hong, N., Breitmoser, E., Antonioletti, M., Garijo, D., González Guardia, E., Gonzalez Beltran, A., Goble, C., Soiland-Reyes, S., Juty, N., & Mejias, G. (2023). D4.4 - Guidelines for recommended metadata                    standard for research software within EOSC. Zenodo. https://doi.org/10.5281/zenodo.8097537
  2. Gruenpeter, M., Granger, S., Monteil, A., Chue Hong, N., Breitmoser, E., Antonioletti, M., Garijo, D., González Guardia, E., Gonzalez Beltran, A., Goble, C., Soiland-Reyes, S., Juty, N., & Mejias, G. (2023). D4.4 - Guidelines for recommended metadata                    standard for research software within EOSC. Zenodo. https://doi.org/10.5281/zenodo.8097537
  3. Gruenpeter, M., Granger, S., Monteil, A., Chue Hong, N., Breitmoser, E., Antonioletti, M., Garijo, D., González Guardia, E., Gonzalez Beltran, A., Goble, C., Soiland-Reyes, S., Juty, N., & Mejias, G. (2023). D4.4 - Guidelines for recommended metadata                    standard for research software within EOSC. Zenodo. https://doi.org/10.5281/zenodo.8097537
  4. Koch, T., Gläser, D., Seeland, A., Roy, S., Schulze, K., Weishaupt, K., Boehringer, D., Hermann, S., & Flemisch, B. (2023). A sustainable infrastructure concept for improved accessibility, reusability, and archival of research software.
  5. Koch, T., Gläser, D., Seeland, A., Roy, S., Schulze, K., Weishaupt, K., Boehringer, D., Hermann, S., & Flemisch, B. (2023). A sustainable infrastructure concept for improved accessibility, reusability, and archival of research software.
  6. Druskat, S., Bertuch, O., Juckeland, G., Knodel, O., & Schlauch, T. (2022). Software publications with rich metadata: state of the art, automated workflows and HERMES concept.
  7. Druskat, S., Bertuch, O., Juckeland, G., Knodel, O., & Schlauch, T. (2022). Software publications with rich metadata: state of the art, automated workflows and HERMES concept.
  8. Hirsch, M., Iglezakis, D., Leymann, F., & Zimmermann, M. (2022). The ReSUS Project - Infrastructure for Sharing Research Software. In E-Science-Tage 2021: Share Your Research Data (S. 267–276). heiBOOKS. https://doi.org/10.11588/HEIBOOKS.979.C13737
  9. Martinez, P. A., Barker, M., Struck, A., Castro, L. J., Erdmann, C., Garijo, D., Gesing, S., Loewe, A., & Moldón, J. (2022). A Survey on Adoption Guidelines for the FAIR4RS                    Principles. Zenodo. https://doi.org/10.5281/zenodo.6374598
  10. Martinez, P. A., Struck, A., Castro, L. J., Garijo, D., Loewe, A., Gesing, S., Barker, M., Chue Hong, N., Erdmann, C., Martinez-Ortiz, C., & Sansone, S.-A. (2022). A Survey on Adoption Guidelines for the FAIR4RS                    Principles: Dataset. Zenodo. https://doi.org/10.5281/zenodo.6375540
  11. Martinez-Ortiz, C., Katz, D. S., Lamprecht, A.-L., Barker, M., Loewe, A., Fouilloux, A., Wyngaard, J., Garijo, D., Moldon, J., Castro, L. J., Wheeler, D., Albers, J. R. D., & Lee, A. (2022). FAIR4RS: Adoption support. Zenodo. https://doi.org/10.5281/zenodo.6258366
  12. Martinez-Ortiz, C., Martinez Lavanchy, P., Sesink, L., Olivier, B. G., Meakin, J., de Jong, M., & Cruz, M. (2022). Practical guide to Software Management Plans. Zenodo. https://doi.org/10.5281/zenodo.7248877
  13. Samuel, S., & Mietchen, D. (2022). Computational reproducibility of Jupyter notebooks from biomedical publications.
  14. Anzt, H., Bach, F., Druskat, S., Löffler, F., Loewe, A., Renard, B. Y., Seemann, G., Struck, A., Achhammer, E., Aggarwal, P., Appel, F., Bader, M., Brusch, L., Busse, C., Chourdakis, G., Dabrowski, P. W., Ebert, P., Flemisch, B., Friedl, S., … Weeber, R. (2021). An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research, 9, 295. https://doi.org/10.12688/f1000research.23224.2
  15. Arvanitou, E.-M., Ampatzoglou, A., Chatzigeorgiou, A., & Carver, J. C. (2021). Software engineering practices for scientific software development: A systematic mapping study. Journal of Systems and Software, 172, 110848. https://doi.org/10.1016/j.jss.2020.110848
  16. Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A.-L., Martinez, C., Psomopoulos, F. E., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., & Honeyman, T. (2021). FAIR Principles for Research Software (FAIR4RS Principles). https://doi.org/10.15497/RDA00068
  17. Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A.-L., Martinez, C., Psomopoulos, F. E., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., & Honeyman, T. (2021). FAIR Principles for Research Software (FAIR4RS Principles). https://doi.org/10.15497/RDA00068
  18. Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A.-L., Martinez, C., Psomopoulos, F. E., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., & Honeyman, T. (2021). FAIR Principles for Research Software (FAIR4RS Principles). https://doi.org/10.15497/RDA00068
  19. Cimiano, P., Pietsch, C., & Wiljes, C. (2021). Studies in Analytical Reproducibility: the Conquaire Project (S. 8057464 bytes). https://doi.org/10.4119/UNIBI/2942780
  20. Gruenpeter, M., Katz, D. S., Lamprecht, A.-L., Honeyman, T., Garijo, D., Struck, A., Niehues, A., Martinez, P. A., Castro, L. J., Rabemanantsoa, T., Chue Hong, N. P., Martinez-Ortiz, C., Sesink, L., Liffers, M., Fouilloux, A. C., Erdmann, C., Peroni, S., Martinez Lavanchy, P., Todorov, I., & Sinha, M. (2021). Defining Research Software: a controversial discussion. Zenodo. https://doi.org/10.5281/ZENODO.5504016
  21. Gruenpeter, M., Katz, D. S., Lamprecht, A.-L., Honeyman, T., Garijo, D., Struck, A., Niehues, A., Martinez, P. A., Castro, L. J., Rabemanantsoa, T., Chue Hong, N. P., Martinez-Ortiz, C., Sesink, L., Liffers, M., Fouilloux, A. C., Erdmann, C., Peroni, S., Martinez Lavanchy, P., Todorov, I., & Sinha, M. (2021). Defining Research Software: a controversial discussion. Zenodo. https://doi.org/10.5281/ZENODO.5504016
  22. Katz, D. S., Gruenpeter, M., & Honeyman, T. (2021). Taking a fresh look at FAIR for research software. Patterns, 2(3), Article 3. https://doi.org/10.1016/j.patter.2021.100222
  23. Koch, T., Gläser, D., Weishaupt, K., Ackermann, S., Beck, M., Becker, B., Burbulla, S., Class, H., Coltman, E., Emmert, S., Fetzer, T., Grüninger, C., Heck, K., Hommel, J., Kurz, T., Lipp, M., Mohammadi, F., Scherrer, S., Schneider, M., … Flemisch, B. (2021). DuMux 3 – an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling. Computers & Mathematics with Applications, 81, 423--443. https://doi.org/10.1016/j.camwa.2020.02.012
  24. Lee, G., Bacon, S., Bush, I., Fortunato, L., Gavaghan, D., Lestang, T., Morton, C., Robinson, M., Rocca-Serra, P., Sansone, S.-A., & Webb, H. (2021). Barely sufficient practices in scientific computing. Patterns, 2(2), Article 2. https://doi.org/10.1016/j.patter.2021.100206
  25. Lee, G., Bacon, S., Bush, I., Fortunato, L., Gavaghan, D., Lestang, T., Morton, C., Robinson, M., Rocca-Serra, P., Sansone, S.-A., & Webb, H. (2021). Barely sufficient practices in scientific computing. Patterns, 2(2), Article 2. https://doi.org/10.1016/j.patter.2021.100206
  26. van Aalst, M., Ebenhoeh, O., & Matuszynska, A. (2021). Constructing and analysing dynamic models with modelbase v1.2.3: a    software update. BMC BIOINFORMATICS, 22(1), Article 1. https://doi.org/10.1186/s12859-021-04122-7
  27. Alliez, P., Cosmo, R. D., Guedj, B., Girault, A., Hacid, M.-S., Legrand, A., & Rougier, N. (2020). Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria. Computing in Science  Engineering, 22(1), Article 1. https://doi.org/10.1109/MCSE.2019.2949413
  28. Anzt, H., Bach, F., Druskat, S., Löffler, F., Loewe, A., Renard, B. Y., Seemann, G., Struck, A., Achhammer, E., Aggarwal, P., Appel, F., Bader, M., Brusch, L., Busse, C., Chourdakis, G., Dabrowski, P. W., Ebert, P., Flemisch, B., Friedl, S., … Weeber, R. (2020). An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research, 9, 295. https://doi.org/10.12688/f1000research.23224.1
  29. Anzt, H., Bach, F., Druskat, S., Löffler, F., Loewe, A., Renard, B. Y., Seemann, G., Struck, A., Achhammer, E., Aggarwal, P., Appel, F., Bader, M., Brusch, L., Busse, C., Chourdakis, G., Dabrowski, P. W., Ebert, P., Flemisch, B., Friedl, S., … Weeber, R. (2020). An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research, 9, 295. https://doi.org/10.12688/f1000research.23224.1
  30. Anzt, H., Bach, F., Druskat, S., Löffler, F., Loewe, A., Renard, B. Y., Seemann, G., Struck, A., Achhammer, E., Aggarwal, P., Appel, F., Bader, M., Brusch, L., Busse, C., Chourdakis, G., Dabrowski, P. W., Ebert, P., Flemisch, B., Friedl, S., … Weeber, R. (2020). An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research, 9, 295. https://doi.org/10.12688/f1000research.23224.1
  31. Commission, E., for Research, D.-G., & Innovation. (2020). Scholarly infrastructures for research software : report from the EOSC Executive Board Working Group (WG) Architecture Task Force (TF) SIRS. Publications Office. https://doi.org/doi/10.2777/28598
  32. Cosmo, R. D., Gruenpeter, M., Marmol, B., Monteil, A., Romary, L., & Sadowska, J. (2020). Curated Archiving of Research Software Artifacts: Lessons Learned from the French Open Archive (HAL). International Journal of Digital Curation, 15(1), Article 1. https://doi.org/10.2218/ijdc.v15i1.698
  33. Cosmo, R. D., Gruenpeter, M., Marmol, B., Monteil, A., Romary, L., & Sadowska, J. (2020). Curated Archiving of Research Software Artifacts: Lessons Learned from the French Open Archive (HAL). International Journal of Digital Curation, 15(1), Article 1. https://doi.org/10.2218/ijdc.v15i1.698
  34. Flemisch, B., Hermann, S., Holm, C., Mehl, M., Reina, G., Uekermann, B., Boehringer, D., Ertl, T., Grad, J.-N., Iglezakis, D., Jaust, A., Koch, T., Seeland, A., Weeber, R., Weik, F., & Weishaupt, K. (2020). Umgang mit Forschungssoftware an der Universität Stuttgart. Universität Stuttgart. https://doi.org/10.18419/OPUS-11178
  35. Flemisch, B., Hermann, S., Holm, C., Mehl, M., Reina, G., Uekermann, B., Boehringer, D., Ertl, T., Grad, J.-N., Iglezakis, D., Jaust, A., Koch, T., Seeland, A., Weeber, R., Weik, F., & Weishaupt, K. (2020). Umgang mit Forschungssoftware an der Universität Stuttgart. Universität Stuttgart. https://doi.org/10.18419/OPUS-11178
  36. Hasselbring, W., Carr, L., Hettrick, S., Packer, H., & Tiropanis, T. (2020). Open Source Research Software. Computer, 53(8), Article 8. https://doi.org/10.1109/MC.2020.2998235
  37. Hermann, S., Schneider, M., Flemisch, B., Frey, S., Iglezakis, D., Ruf, M., Schembera, B., Seeland, A., & Steeb, H. (2020). Datenmanagement im SFB 1313. Bausteine Forschungsdatenmanagement, 1. https://doi.org/10.17192/BFDM.2020.1.8085
  38. Magaña, P., Del-Rosal-Salido, J., Cobos, M., Lira-Loarca, A., & Ortega-Sánchez, M. (2020). Approaching Software Engineering for Marine Sciences: A Single Development Process for Multiple End-User Applications. Journal of Marine Science and Engineering, 8(5), Article 5. https://doi.org/10.3390/jmse8050350
  39. Pianosi, F., Sarrazin, F., & Wagener, T. (2020). How successfully is open-source research software adopted? Results and implications of surveying the users of a sensitivity analysis toolbox. Environmental Modelling & Software, 124, 104579. https://doi.org/10.1016/j.envsoft.2019.104579
  40. Ruiz-Rube, I., Person, T., Dodero, J. M., Mota, J. M., & Sánchez-Jara, J. M. (2020). Applying static code analysis for domain-specific languages. Software and Systems Modeling, 19(1), Article 1. https://doi.org/10.1007/s10270-019-00729-w
  41. SIRS, E. E. B. W. G. (WG) A. T. F. (TF). (2020). Scholarly infrastructures for research software (E. Commission, Hrsg.). European Commission. https://op.europa.eu/s/oMEw
  42. Trisovic, A., Durbin, P., Schlatter, T., Durand, G., Barbosa, S., Brooke, D., & Crosas, M. (2020). Advancing computational reproducibility in the Dataverse data repository  platform. http://arxiv.org/abs/2005.02985
  43. Akhmerov, A., Cruz, M., Drost, N., Hof, C., Knapen, T., Kuzak, M., Martinez-Ortiz, C., der Velden, Y. T., & van Werkhoven, B. (2019). Raising the Profile of Research Software: Recommendations for Funding Agencies and Research Institutions (NWO, Hrsg.).
  44. Ballhausen, M. (2019). Free and Open Source Software Licenses Explained. IEEE Computer, 52(6), Article 6. http://dblp.uni-trier.de/db/journals/computer/computer52.html#Ballhausen19
  45. Druskat, S., Spaaks, J. H., Chue Hong, N., Haines, R., & Baker, J. (2019). Citation File Format (CFF) - Specifications. Zenodo. https://doi.org/10.5281/zenodo.3515946
  46. Erdmann, C., Simons, N., Otsuji, R., Labou, S., Johnson, R., Castelao, G., Boas, B. V., Lamprecht, A.-L., Ortiz, C. M., Garcia, L., Kuzak, M., Martinez, P. A., Stokes, L., Honeyman, T., Wise, S., Quan, J., Peterson, S., Neeser, A., Karvovskaya, L., … Dennis, T. (2019). Top 10 FAIR Data & Software Things. https://doi.org/10.5281/zenodo.2555498
  47. Fehr, J., Himpe, C., Rave, S., & Saak, J. (2019). Sustainable Research Software Hand-Over. CoRR, abs/1909.09469. http://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-09469
  48. Fehr, J., Himpe, C., Rave, S., & Saak, J. (2019). Sustainable Research Software Hand-Over. CoRR, abs/1909.09469. http://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-09469
  49. Gomez-Diaz, T., & Recio, T. (2019). On the evaluation of research software: the CDUR procedure. F1000Research, 8, 1353. https://doi.org/10.12688/f1000research.19994.2
  50. Gärtner, M. (2019). RePlay-DH Client v1.3.0. https://doi.org/10.18419/darus-475
  51. Hasselbring, W., Carr, L., Hettrick, S., Packer, H., & Tiropanis, T. (2019). FAIR and Open Computer Science Research Software. In arXiv preprint arXiv:1908.05986. http://dblp.uni-trier.de/db/journals/corr/corr1908.html#abs-1908-05986
  52. Hermann, S., Iglezakis, D., & Seeland, A. (2019). Requirements for Finding Research Data and Software. PAMM, 19(1), Article 1. https://doi.org/10.1002/pamm.201900480
  53. Hermann, S., Iglezakis, D., & Seeland, A. (2019). Requirements for Finding Research Data and Software. PAMM, 19(1), Article 1. https://doi.org/10.1002/pamm.201900480
  54. Hsu, L., Hutchison, V. B., & Langseth, M. L. (2019). Measuring sustainability of seed-funded earth science informatics projects. PLOS ONE, 14(10), Article 10. https://doi.org/10.1371/journal.pone.0222807
  55. Johanson, A. N., & Hasselbring, W. (2019). Software Engineering for Computational Science. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Hrsg.), SE/SWM: Bd. P-292 (S. 43–44). GI. http://dblp.uni-trier.de/db/conf/se/se2019.html#JohansonH19
  56. Lamprecht, A.-L., Garcia, L., Kuzak, M., Martinez, C., Arcila, R., Pico, E. M. D., Angel, V. D. D., van de Sandt, S., Ison, J., Martinez, P. A., McQuilton, P., Valencia, A., Harrow, J., Psomopoulos, F., Gelpi, J. Ll., Hong, N. C., Goble, C., & Capella-Gutierrez, S. (2019). Towards FAIR principles for~research~software. Data Science, 1--23. https://doi.org/10.3233/ds-190026
  57. Lamprecht, A.-L., Garcia, L., Kuzak, M., Martinez, C., Arcila, R., Pico, E. M. D., Angel, V. D. D., van de Sandt, S., Ison, J., Martinez, P. A., McQuilton, P., Valencia, A., Harrow, J., Psomopoulos, F., Gelpi, J. Ll., Hong, N. C., Goble, C., & Capella-Gutierrez, S. (2019). Towards FAIR principles for~research~software. Data Science, 1--23. https://doi.org/10.3233/ds-190026
  58. Li, K., Chen, P.-Y., & Yan, E. (2019). Challenges of measuring software impact through citations: An examination of the lme4 R package. Journal of Informetrics, 13(1), Article 1. https://doi.org/10.1016/j.joi.2019.02.007
  59. Scheliga, K., Pampel, H., Konrad, U., Fritzsch, B., Schlauch, T., Nolden, M., Zu Castell, W., Finke, A., Hammitzsch, M., Bertuch, O., & Denker, M. (2019). Dealing with research software: Recommendations for best practices. https://doi.org/10.2312/OS.HELMHOLTZ.003
  60. Siepel, A. (2019). Challenges in funding and developing genomic software: roots and remedies. Genome Biology, 20(1), Article 1. https://doi.org/10.1186/s13059-019-1763-7
  61. Task Group Forschungssoftware Des Arbeitskreises Open Science Der Helmholtz-Gemeinschaft. (2019). Muster-Richtlinie Nachhaltige Forschungssoftware an den Helmholtz-Zentren. https://doi.org/10.2312/OS.HELMHOLTZ.007
  62. van de Sandt, S., Nielsen, L. H., Ioannidis, A., Muench, A., Henneken, E. A., Accomazzi, A., Bigarella, C., Lopez, J. B. G., & Dallmeier-Tiessen, S. (2019). Practice meets Principle: Tracking Software and Data Citations to Zenodo DOIs. CoRR, abs/1911.00295. http://dblp.uni-trier.de/db/journals/corr/corr1911.html#abs-1911-00295
  63. VSNU, NFU, KNAW, NWO and ZonMw (Hrsg.). (2019). Room for everyone’s talent.
  64. AlNoamany, Y., & Borghi, J. A. (2018). Towards computational reproducibility: researcher perspectives on the use and sharing of software. PeerJ Computer Science, 4, e163. https://doi.org/10.7717/peerj-cs.163
  65. Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit and Preservation Policy and                    Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
  66. Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit And Preservation Policy And Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
  67. Cruz, M. J., Kurapati, S., & Turkyilmaz-van der Velden, Y. (2018). The Role of Data Stewardship in Software Sustainability and Reproducibility. 2018 IEEE 14th International Conference on e-Science (e-Science), 1–8. https://doi.org/10.1109/eScience.2018.00009
  68. Gundersen, O. E., & Kjensmo, S. (2018). State of the Art: Reproducibility in Artificial Intelligence. In S. McIlraith & K. Weinberger (Hrsg.), Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18). Association for the Advancement of Artificial Intelligence.
  69. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Hrsg.), Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings (S. 284--291). Springer International Publishing. https://doi.org/10.1007/978-3-319-73706-5_24
  70. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Hrsg.), Language Technologies for the Challenges of the Digital Age (S. 284–291). Springer International Publishing.
  71. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Hrsg.), Language Technologies for the Challenges of the Digital Age (S. 284–291). Springer International Publishing.
  72. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Hrsg.), Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings (S. 284--291). Springer International Publishing. https://doi.org/10.1007/978-3-319-73706-5_24
  73. Hallé, S., Khoury, R., & Awesso, M. (2018). Streamlining the Inclusion of Computer Experiments In a Research Paper. IEEE Computer, 51(11), Article 11. http://dblp.uni-trier.de/db/journals/computer/computer51.html#HalleKA18
  74. Hermann, S., Hahn, U., Gärtner, M., & Fritze, F. (2018). Nachträglich ist nicht gleich nachnutzbar: Ansätze für integrierte Prozessdokumentation im Forschungsalltag. o-bib. Das offene Bibliotheksjournal, 5(3), Article 3. https://doi.org/10.5282/O-BIB/2018H3S32-45
  75. Hermann, S., Hahn, U., Gärtner, M., & Fritze, F. (2018). Nachträglich ist nicht gleich nachnutzbar: Ansätze für integrierte Prozessdokumentation im Forschungsalltag. o-bib. Das offene Bibliotheksjournal, 5(3), Article 3. https://doi.org/10.5282/O-BIB/2018H3S32-45
  76. Hermann, S., Hahn, U., Gärtner, M., & Fritze, F. (2018). Nachträglich ist nicht gleich nachnutzbar: Ansätze für integrierte Prozessdokumentation im Forschungsalltag: 32-45 Seiten / o-bib. Das offene Bibliotheksjournal / herausgegeben vom VDB, Bd. 5 Nr. 3 (2018). https://doi.org/10.5282/O-BIB/2018H3S32-45
  77. Hinsen, K. (2018). Verifiability in computer-aided research: the role of digital scientific notations at the human-computer interface. PeerJ Computer Science, 4, e158. https://doi.org/10.7717/peerj-cs.158
  78. Johanson, A., & Hasselbring, W. (2018). Software Engineering for Computational Science: Past, Present, Future. Computing in Science  Engineering, 20(2), Article 2. https://doi.org/10.1109/MCSE.2018.021651343
  79. Karimzadeh, M., & Hoffman, M. M. (2018). Top considerations for creating bioinformatics software documentation. BRIEFINGS IN BIOINFORMATICS, 19(4), Article 4. https://doi.org/10.1093/bib/bbw134
  80. Katerbow, M., & Feulner, G. (2018). Handreichung zum Umgang mit Forschungssoftware. Zenodo. https://doi.org/10.5281/ZENODO.1172970
  81. Katerbow, M., & Feulner, G. (2018). Handreichung Zum Umgang Mit Forschungssoftware. Zenodo. https://doi.org/10.5281/zenodo.1172970
  82. Katz, D. S., & Hong, N. P. C. (2018). Software Citation in Theory and Practice. In J. H. Davenport, M. Kauers, G. Labahn, & J. Urban (Hrsg.), ICMS (Bd. 10931, S. 289–296). Springer. http://dblp.uni-trier.de/db/conf/icms/icms2018.html#KatzH18
  83. Kuzak, M., Harrow, J., Jimenez, R. C., Martinez, P. A., Psomopoulos, F. E., Svobodová Vařeková, R., & Via, A. (2018). Lesson Development for Open Source Software Best Practices Adoption. 2018 IEEE 14th International Conference on e-Science (e-Science), 19–20. https://doi.org/10.1109/eScience.2018.00011
  84. Lee, B. D. (2018). Ten simple rules for documenting scientific software. PLOS Computational Biology, 14(12), Article 12. https://doi.org/10.1371/journal.pcbi.1006561
  85. no author. (15.02.2018). Choose an open source license | Choose a License. https://choosealicense.com/
  86. Russell, P. H., Johnson, R. L., Ananthan, S., Harnke, B., & Carlson, N. E. (2018). A large-scale analysis of bioinformatics code on GitHub. PLOS ONE, 13(10), Article 10. https://doi.org/10.1371/journal.pone.0205898
  87. Rüde, U., Willcox, K., McInnes, L. C., & Sterck, H. D. (2018). Research and Education in Computational Science and Engineering. SIAM Review, 60(3), Article 3. http://dblp.uni-trier.de/db/journals/siamrev/siamrev60.html#RudeWMS18
  88. Schlauch, T., Meinel, M., & Haupt, C. (2018). DLR Software Engineering Guidelines. https://doi.org/10.5281/zenodo.1344612
  89. Allen, A., Aragon, C. R., Becker, C., Carver, J., Chis, A., Combemale, B., Croucher, M., Crowston, K., Garijo, D., Gehani, A., Goble, C. A., Haines, R., Hirschfeld, R., Howison, J., Huff, K. D., Jay, C., Katz, D. S., Kirchner, C., Kuksenok, K., … Vinju, J. J. (2017). Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). Dagstuhl Manifestos, 6(1), Article 1. http://dblp.uni-trier.de/db/journals/dagstuhl-manifestos/dagstuhl-manifestos6.html#AllenABCCCCCGGG17
  90. Atkinson, M., Gesing, S., Montagnat, J., & Taylor, I. (2017). Scientific workflows: Past, present and future. Future Generation Computer Systems, 75, 216–227. https://doi.org/10.1016/j.future.2017.05.041
  91. Bar-Sinai, M., & Dunlap, M. (2017). The Open Monolith - Keeping Your Codebase (and Your Headaches) Small (JavaOne, Hrsg.).
  92. Bieliauskas, S., & Schreiber, A. (2017). DLR-SC/prov-comics: QS PROV Comics Prototype - Big                    fixes. Zenodo. https://doi.org/10.5281/zenodo.555927
  93. Boettiger, C. (2017). Generating CodeMeta Metadata for R Packages. The Journal of Open Source Software, 2(19), Article 19. https://doi.org/10.21105/joss.00454
  94. Childers, B. R., & Chrysanthis, P. K. (2017). Artifact Evaluation: Is It a Real Incentive? 2017 IEEE 13th International Conference on e-Science (e-Science), 488–489. https://doi.org/10.1109/eScience.2017.79
  95. Cosmo, R. D., & Zacchiroli, S. (2017). Software Heritage: Why and How to Preserve Software Source Code. iPRES 2017 - 14th International Conference on Digital Preservation, 1–10. https://hal.archives-ouvertes.fr/hal-01590958/
  96. da Silva, R. F., Filgueira, R., Pietri, I., Jiang, M., Sakellariou, R., & Deelman, E. (2017). A characterization of workflow management systems for extreme-scale applications. Future Generation Computer Systems, 75, 228–238. https://doi.org/10.1016/j.future.2017.02.026
  97. Hahn, U., Hermann, S., Enderle, P., Fritze, F., Gärtner, M., & Kushnarenko, V. (2017, März). RePlay-DH - Realisierung einer Plattform und begleitender Dienste zum Forschungsdatenmanagement für die Fachcommunity - Digital Humanities. E-Science-Tage 2017: Forschungsdaten managen. E-Science-Tage 2017, Heidelberg. https://doi.org/10.11588/heidok.00022886
  98. Hahn, U., Hermann, S., Enderle, P., Fritze, F., Gärtner, M., & Kushnarenko, V. (2017, März). RePlay-DH - Realisierung einer Plattform und begleitender Dienste zum Forschungsdatenmanagement für die Fachcommunity - Digital Humanities. E-Science-Tage 2017: Forschungsdaten managen. https://doi.org/10.11588/heidok.00022886
  99. Hahn, U., Hermann, S., Enderle, P., Fritze, F., Gärtner, M., & Kushnarenko, V. (2017, März). RePlay-DH - Realisierung einer Plattform und begleitender Dienste zum Forschungsdatenmanagement für die Fachcommunity - Digital Humanities. E-Science-Tage 2017: Forschungsdaten managen. E-Science-Tage 2017, Heidelberg. https://doi.org/10.11588/heidok.00022886
  100. Hahn, U., Hermann, S., Enderle, P., Fritze, F., Gärtner, M., & Kushnarenko, V. (2017). RePlay-DH - Realisierung einer Plattform und begleitender Dienste zum Forschungsdatenmanagement für die Fachcommunity - Digital Humanities. In E-Science-Tage 2017: Forschungsdaten managen. http://archiv.ub.uni-heidelberg.de/volltextserver/22886/

Befragungen

  1. Lange, J., Mueller, F., Takors, R., & Blombach, B. (o. J.). Harnessing novel chromosomal integration loci to utilize an    organosolv-derived hemicellulose fraction forisobutanol production with    engineered Corynebacterium glutamicum. MICROBIAL BIOTECHNOLOGY, 11(1, SI), Article 1, SI. https://doi.org/10.1111/1751-7915.12879
  2. Delvigne, F., Takors, R., Mudde, R., van Gulik, W., & Noorman, H. (o. J.). Bioprocess scale-up/down as integrative enabling technology: from fluid    mechanics to systems biology and beyond. MICROBIAL BIOTECHNOLOGY, 10(5, SI), Article 5, SI. https://doi.org/10.1111/1751-7915.12803
  3. Eigenstetter, G., & Takors, R. (o. J.). Dynamic modeling reveals a three-step response of Saccharomyces    cerevisiae to high CO2 levels accompanied by increasing ATP demands. FEMS YEAST RESEARCH, 17(1), Article 1. https://doi.org/10.1093/femsyr/fox008
  4. Failmezger, J., Rauter, M., Nitschel, R., Kraml, M., & Siemann-Herzberg, M. (o. J.). Cell-free protein synthesis from non-growing, stressed Escherichia coli. SCIENTIFIC REPORTS, 7. https://doi.org/10.1038/s41598-017-16767-7
  5. Failmezger, J., Ludwig, J., Niess, A., & Siemann-Herzberg, M. (o. J.). Quantifying ribosome dynamics in Escherichia coli using fluorescence. FEMS MICROBIOLOGY LETTERS, 364(6), Article 6. https://doi.org/10.1093/femsle/fnx055
  6. Hoffart, E., Grenz, S., Lange, J., Nitschel, R., Mueller, F., Schwentner, A., Feith, A., Lenfers-Luecker, M., Takors, R., & Blombach, B. (o. J.). High Substrate Uptake Rates Empower Vibrio natriegens as Production Host    for Industrial Biotechnology. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 83(22), Article 22. https://doi.org/10.1128/AEM.01614-17
  7. Krone, M., Friess, F., Scharnowski, K., Reina, G., Fademrecht, S., Kulschewski, T., Pleiss, J., & Ertl, T. (o. J.). Molecular Surface Maps. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 23(1), Article 1. https://doi.org/10.1109/TVCG.2016.2598824
  8. Lange, J., Mueller, F., Bernecker, K., Dahmen, N., Takors, R., & Blombach, B. (o. J.). Valorization of pyrolysis water: a biorefinery side stream, for    1,2-propanediol production with engineered Corynebacterium glutamicum. BIOTECHNOLOGY FOR BIOFUELS, 10. https://doi.org/10.1186/s13068-017-0969-8
  9. Lange, J., Takors, R., & Blombach, B. (o. J.). Zero-growth bioprocesses: A challenge for microbial production strains    and bioprocess engineering. ENGINEERING IN LIFE SCIENCES, 17(1), Article 1. https://doi.org/10.1002/elsc.201600108
  10. Loeffler, M., Simen, J. D., Mueller, J., Jaeger, G., Laghrami, S., Schaeferhoff, K., Freund, A., Takors, R., & RecogNice-Team. (o. J.). Switching between nitrogen and glucose limitation: Unraveling    transcriptional dynamics in Escherichia coli. JOURNAL OF BIOTECHNOLOGY, 258(SI), Article SI. https://doi.org/10.1016/j.jbiotec.2017.04.011
  11. Michalowski, A., Siemann-Herzberg, M., & Takors, R. (o. J.). Escherichia coli HGT: Engineered for high glucose throughput even under    slowly growing or resting conditions. METABOLIC ENGINEERING, 40, 93–103. https://doi.org/10.1016/j.ymben.2017.01.005
  12. Niess, A., Failmezger, J., Kuschel, M., Siemann-Herzberg, M., & Takors, R. (o. J.). Experimentally Validated Model Enables Debottlenecking of in Vitro    Protein Synthesis and Identifies a Control Shift under in Vivo    Conditions. ACS SYNTHETIC BIOLOGY, 6(10), Article 10. https://doi.org/10.1021/acssynbio.7b00117
  13. Niess, A., Loeffler, M., Simen, J. D., & Takors, R. (o. J.). Repetitive Short-Term Stimuli Imposed in Poor Mixing Zones Induce    Long-Term Adaptation of E-coli Cultures in Large-Scale Bioreactors:    Experimental Evidence and Mathematical Model. FRONTIERS IN MICROBIOLOGY, 8. https://doi.org/10.3389/fmicb.2017.01195
  14. Simen, J. D., Loeffler, M., Jaeger, G., Schaeferhoff, K., Freund, A., Matthes, J., Mueller, J., Takors, R., & RecogNice-Team. (o. J.). Transcriptional response of Escherichia coli to ammonia and glucose    fluctuations. MICROBIAL BIOTECHNOLOGY, 10(4, SI), Article 4, SI. https://doi.org/10.1111/1751-7915.12713
  15. Teleki, A., Rahnert, M., Bungart, O., Gann, B., Ochrombel, I., & Takors, R. (o. J.). Robust identification of metabolic control for microbial L-methionine    production following an easy-to-use puristic approach. METABOLIC ENGINEERING, 41, 159–172. https://doi.org/10.1016/j.ymben.2017.03.008
  16. Abbaszadeh, M., Kadkhodapour, J., Schmauder, S., & Hoseinpour, M. (o. J.). A study on the effect of grain dimension on the deformation of stent    struts in tension, bending and unbending loading modes. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 118, 36–44. https://doi.org/10.1016/j.ijmecsci.2016.09.010
  17. Acs, B., Szederkenyi, G., Tuza, Z., & Tuza, Z. A. (o. J.). Computing all possible graph structures describing linearly conjugate    realizations of kinetic systems. COMPUTER PHYSICS COMMUNICATIONS, 204, 11–20. https://doi.org/10.1016/j.cpc.2016.02.020
  18. Adhikari, B., Sivaraman, G., & Fyta, M. (o. J.). Diamondoid-based molecular junctions: a computational study. NANOTECHNOLOGY, 27(48), Article 48. https://doi.org/10.1088/0957-4484/27/48/485207
  19. Aicher, S., Hirsch, M., & Christian, Z. (o. J.). Hybrid cross-laminated timber plates with beech wood cross-layers. CONSTRUCTION AND BUILDING MATERIALS, 124, 1007–1018. https://doi.org/10.1016/j.conbuildmat.2016.08.051
  20. Aicher, S., Christian, Z., & Hirsch, M. (o. J.). Rolling shear modulus and strength of beech wood laminations. HOLZFORSCHUNG, 70(8), Article 8. https://doi.org/10.1515/hf-2015-0229
  21. Aimer, M., Klemm, E., Langanke, B., Gehrke, H., & Stubenrauch, C. (o. J.). Reactive Extraction of Lactic Acid by Using Tri-n-octylamine: Structure    of the Ionic Phase. CHEMISTRY-A EUROPEAN JOURNAL, 22(10), Article 10. https://doi.org/10.1002/chem.201503799
  22. Akhlaghi, M., Steiner, T., Meka, S. R., & Mittemeijer, E. J. (o. J.). Misfit-induced changes of lattice parameters in two-phase systems:    coherent/incoherent precipitates in a matrix. JOURNAL OF APPLIED CRYSTALLOGRAPHY, 49(1), Article 1. https://doi.org/10.1107/S1600576715022608
  23. Albrecht, C.-M., Hattula, S., Bornemann, T., & Hoyer, W. D. (o. J.). Customer response to interactional service experience The role of    interaction environment. JOURNAL OF SERVICE MANAGEMENT, 27(5), Article 5. https://doi.org/10.1108/JOSM-07-2015-0215
  24. Alqarni, B., Colley, B., Klebensberger, J., McDougald, D., & Rice, S. A. (o. J.). Expression stability of 13 housekeeping genes during carbon starvation    of Pseudomonas aeruginosa. JOURNAL OF MICROBIOLOGICAL METHODS, 127, 182–187. https://doi.org/10.1016/j.mimet.2016.06.008
  25. Alt, I. T., & Plietker, B. (o. J.). Iron-Catalyzed Intramolecular C(sp(2))-H Amination. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 55(4), Article 4. https://doi.org/10.1002/anie.201510045
  26. Amm, I., Kawan, M., & Wolf, D. H. (o. J.). Characterization of protein quality control components via dual    reporter-containing misfolded cytosolic model substrates. ANALYTICAL BIOCHEMISTRY, 515, 14–21. https://doi.org/10.1016/j.ab.2016.09.012
  27. Amm, I., & Wolf, D. H. (o. J.). Molecular mass as a determinant for nuclear San1-dependent targeting of    misfolded cytosolic proteins to proteasomal degradation. FEBS LETTERS, 590(12), Article 12. https://doi.org/10.1002/1873-3468.12213
  28. Anenberg, S. C., Belova, A., Brandt, J., Fann, N., Greco, S., Guttikunda, S., Heroux, M.-E., Hurley, F., Krzyzanowski, M., Medina, S., Miller, B., Pandey, K., Roos, J., & Van Dingenen, R. (o. J.). Survey of Ambient Air Pollution Health Risk Assessment Tools. RISK ANALYSIS, 36(9, SI), Article 9, SI. https://doi.org/10.1111/risa.12540
  29. Apprich, C., Hoellig, K., Hoerner, J., & Reif, U. (o. J.). Collocation with WEB-Splines. ADVANCES IN COMPUTATIONAL MATHEMATICS, 42(4), Article 4. https://doi.org/10.1007/s10444-015-9444-x
  30. Avrutin, V., Zhusubaliyev, Z. T., & Mosekilde, E. (o. J.). Border collisions inside the stability domain of a fixed point. PHYSICA D-NONLINEAR PHENOMENA, 321, 1–15. https://doi.org/10.1016/j.physd.2016.02.011
  31. Axtmann, M., Poser, R., von Wolfersdorf, J., & Bouchez, M. (o. J.). Endwall heat transfer and pressure loss measurements in staggered arrays    of adiabatic pin fins. APPLIED THERMAL ENGINEERING, 103, 1048–1056. https://doi.org/10.1016/j.applthermaleng.2016.04.066
  32. Bagheri, S., Strohfeldt, N., Sterl, F., Berrier, A., Tittl, A., & Giessen, H. (o. J.). Large-Area Low-Cost Plasmonic Perfect Absorber Chemical Sensor    Fabricated by Laser Interference Lithography. ACS SENSORS, 1(9), Article 9. https://doi.org/10.1021/acssensors.6b00444
  33. Banuti, D. T., Hannemann, V., Hannemann, K., & Weigand, B. (o. J.). An efficient multi-fluid-mixing model for real gas reacting flows in    liquid propellant rocket engines. COMBUSTION AND FLAME, 168, 98–112. https://doi.org/10.1016/j.combustflame.2016.03.029
  34. Bardossy, A., & Hoerning, S. (o. J.). Gaussian and non-Gaussian inverse modeling of groundwater flow using    copulas and random mixing. WATER RESOURCES RESEARCH, 52(6), Article 6. https://doi.org/10.1002/2014WR016820
  35. Bardossy, A., & Hoerning, S. (o. J.). Random Mixing: An Approach to Inverse Modeling for Groundwater Flow and    Transport Problems. TRANSPORT IN POROUS MEDIA, 114(2, SI), Article 2, SI. https://doi.org/10.1007/s11242-015-0608-4
  36. Bardossy, A., & Pegram, G. G. S. (o. J.). Space-time conditional disaggregation of precipitation at high    resolution via simulation. WATER RESOURCES RESEARCH, 52(2), Article 2. https://doi.org/10.1002/2015WR018037
  37. Barseghyan, D., Exner, P., Kovarik, H., & Weidl, T. (o. J.). Semiclassical bounds in magnetic bottles. REVIEWS IN MATHEMATICAL PHYSICS, 28(1), Article 1. https://doi.org/10.1142/S0129055X16500021
  38. Barth, A., Moreno-Bromberg, S., & Reichmann, O. (o. J.). A Non-stationary Model of Dividend Distribution in a Stochastic    Interest-Rate Setting. COMPUTATIONAL ECONOMICS, 47(3), Article 3. https://doi.org/10.1007/s10614-015-9502-y
  39. Barth, A., Burger, R., Kroeker, I., & Rohde, C. (o. J.). Computational uncertainty quantification for a clarifier-thickener model    with several random perturbations: A hybrid stochastic Galerkin approach. COMPUTERS & CHEMICAL ENGINEERING, 89, 11–26. https://doi.org/10.1016/j.compchemeng.2016.02.016
  40. Barth, A., & Fuchs, F. G. (o. J.). UNCERTAINTY QUANTIFICATION FOR HYPERBOLIC CONSERVATION LAWS WITH FLUX    COEFFICIENTS GIVEN BY SPATIOTEMPORAL RANDOM FIELDS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 38(4), Article 4. https://doi.org/10.1137/15M1027723
  41. Bauer, J. M., Frey, W., & Peters, R. (o. J.). Dual Palladium(II)/Tertiary Amine Catalysis for Asymmetric    Regioselective Rearrangements of Allylic Carbamates. CHEMISTRY-A EUROPEAN JOURNAL, 22(16), Article 16. https://doi.org/10.1002/chem.201600138
  42. Bauknecht, J., & Naegele, G. (o. J.). Successful yet insufficient: German policies for higher employment rates    among older age groups. AUSTRALIAN JOURNAL OF SOCIAL ISSUES, 51(2), Article 2.
  43. Bayer, F. A., Lorenzen, M., Mueller, M. A., & Allgoewer, F. (o. J.). Robust economic Model Predictive Control using stochastic information. AUTOMATICA, 74, 151–161. https://doi.org/10.1016/j.automatica.2016.08.008
  44. Beck, A. D., Flad, D. G., Tonhaeuser, C., Gassner, G., & Munz, C.-D. (o. J.). On the Influence of Polynomial De-aliasing on Subgrid Scale Models. FLOW TURBULENCE AND COMBUSTION, 97(2), Article 2. https://doi.org/10.1007/s10494-016-9704-y
  45. Beck, F., Koch, S., & Weiskopf, D. (o. J.). Visual Analysis and Dissemination of Scientific Literature Collections    with SurVis. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 22(1), Article 1. https://doi.org/10.1109/TVCG.2015.2467757
  46. Becker, S., Schober, D., & Wassermann, S. (o. J.). How to approach consumers’ nonmonetary evaluation of electricity supply    security? The case of Germany from a multidisciplinary perspective. UTILITIES POLICY, 42, 74–84. https://doi.org/10.1016/j.jup.2016.06.012
  47. Behrens, M., Brown, N., Bollinger, R., Bubeck, D., Mau-Moeller, A., Weippert, M., Zschorlich, V., Bruhn, S., & Alt, W. (o. J.). Relationship between muscle volume and contractile properties of the    human knee extensors. APPLIED PHYSIOLOGY NUTRITION AND METABOLISM, 41(1), Article 1. https://doi.org/10.1139/apnm-2015-0378
  48. Beinke, D., Oberdorfer, C., & Schmitz, G. (o. J.). Towards an accurate volume reconstruction in atom probe tomography. ULTRAMICROSCOPY, 165, 34–41. https://doi.org/10.1016/j.ultramic.2016.03.008
  49. Beju, L. D., Brindasu, D. P., Mutiu, N. C., & Rothmund, J. (o. J.). Modeling, simulation and manufacturing of drill flutes. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 83(9–12), Article 9–12. https://doi.org/10.1007/s00170-015-7710-1
  50. Bellamy, G., & Thiel, U. (o. J.). Cuspidal Calogero-Moser and Lusztig families for Coxeter groups. JOURNAL OF ALGEBRA, 462, 197–252. https://doi.org/10.1016/j.jalgebra.2016.06.003
  51. Belser, V., Breuninger, J., Reilly, M., Laufer, R., Dropmann, M., Herdrich, G., Hyde, T., Roeser, H.-P., & Fasoulas, S. (o. J.). Aerodynamic and engineering design of a 1.5 s high quality microgravity    drop tower facility. ACTA ASTRONAUTICA, 129, 335–344. https://doi.org/10.1016/j.actaastro.2016.09.031
  52. Berninger, A. (o. J.). Thinking sadly: In favor of an adverbial theory of emotions. PHILOSOPHICAL PSYCHOLOGY, 29(6), Article 6. https://doi.org/10.1080/09515089.2016.1159294
  53. Betancourt, F., & Rohde, C. (o. J.). Finite-volume schemes for Friedrichs systems with involutions. APPLIED MATHEMATICS AND COMPUTATION, 272(2), Article 2. https://doi.org/10.1016/j.amc.2015.03.050
  54. Betie, M., & Tenbohlen, S. (o. J.). Power Transformer Diagnosis based on Mechanical Oscillations due to AC    and DC Currents. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 23(3, SI), Article 3, SI. https://doi.org/10.1109/TDEI.2016.005537
  55. Beutel, M. H., Ebensperger, N. G., Thiemann, M., Untereiner, G., Fritz, V., Javaheri, M., Naegele, J., Roesslhuber, R., Dressel, M., & Scheffler, M. (o. J.). Microwave study of superconducting Sn films above and below percolation. SUPERCONDUCTOR SCIENCE & TECHNOLOGY, 29(8), Article 8. https://doi.org/10.1088/0953-2048/29/8/085011
  56. Bhandari, T., Hamad, F., Moormann, C., Sharma, K. G., & Westrich, B. (o. J.). Numerical modelling of seismic slope failure using MPM. COMPUTERS AND GEOTECHNICS, 75, 126–134. https://doi.org/10.1016/j.compgeo.2016.01.017
  57. Bilgili, H., Buerger, M., Stubenrauch, C., & Porada, J. H. (o. J.). About the nanostructure of the ternary system water - BMImPF6 -    TX-100. JOURNAL OF COLLOID AND INTERFACE SCIENCE, 484, 237–248. https://doi.org/10.1016/j.jcis.2016.08.083
  58. Blascheck, T., John, M., Kurzhals, K., Koch, S., & Ertl, T. (o. J.). VA(2): A Visual Analytics Approach for // Evaluating Visual Analytics    Applications. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 22(1), Article 1. https://doi.org/10.1109/TVCG.2015.2467871
  59. Failmezger, J., Nitschel, R., Sanchez-Kopper, A., Kraml, M., & Siemann-Herzberg, M. (o. J.). Site-Specific Cleavage of Ribosomal RNA in Escherichia coli-Based    Cell-Free Protein Synthesis Systems. PLoS One, 11(12), Article 12. https://doi.org/10.1371/journal.pone.0168764
  60. Junghans, L., Teleki, A., Becker, M., & Takors, R. (o. J.). LC-MS-based compartment-specific metabolome analysis in CHO. NEW BIOTECHNOLOGY, 33(S), Article S. https://doi.org/10.1016/j.nbt.2016.06.842
  61. Jurkowska, R. Z., & Jeltsch, A. (o. J.). DNA Methyltransferases - Role and Function Preface. In Jeltsch, A and Jurkowska, RZ (Hrsg.), DNA METHYLTRANSFERASES - ROLE AND FUNCTION (Bd. 945, S. V–VI). SPRINGER INT PUBLISHING AG.
  62. Lieder, S., Jahn, M., Koepff, J., Mueller, S., & Takors, R. (o. J.). Environmental stress speeds up DNA replication in Pseudomonas putida in    chemostat cultivations. BIOTECHNOLOGY JOURNAL, 11(1, SI), Article 1, SI. https://doi.org/10.1002/biot.201500059
  63. Loeffler, M., Simen, J. D., Jaeger, G., Schaeferhoff, K., Freund, A., & Takors, R. (o. J.). Engineering E-coli for large-scale production - Strategies considering    ATP expenses and transcriptional responses. METABOLIC ENGINEERING, 38, 73–85. https://doi.org/10.1016/j.ymben.2016.06.008
  64. Pfizenmaier, J., Junghans, L., Teleki, A., & Takors, R. (o. J.). Hyperosmotic stimulus study discloses benefits in ATP supply and reveals    miRNA/mRNA targets to improve recombinant protein production of CHO    cells. BIOTECHNOLOGY JOURNAL, 11(8), Article 8. https://doi.org/10.1002/biot.201500606
  65. Sanchez-Kopper, A., Becker, M., Pfizenmaier, J., Kessler, C., Karau, A., & Takors, R. (o. J.). Tracking dipeptides at work-uptake and intracellular fate in CHO culture. AMB EXPRESS, 6. https://doi.org/10.1186/s13568-016-0221-0
  66. Takors, R., & de Lorenzo, V. (o. J.). Editorial overview: Microbial systems biology: systems biology prepares    the ground for successful synthetic biology. CURRENT OPINION IN MICROBIOLOGY, 33, VIII–X. https://doi.org/10.1016/j.mib.2016.08.003
  67. Takors, R. (o. J.). Editorial: How can we ensure the successful transfer from lab- to    large-scale production? ENGINEERING IN LIFE SCIENCES, 16(7), Article 7. https://doi.org/10.1002/elsc.201670073
  68. Wutz, J., Lapin, A., Siebler, F., Schaefer, J. E., Wucherpfennig, T., Berger, M., & Takors, R. (o. J.). Predictability of k(L)a in stirred tank reactors under multiple    operating conditions using an Euler-Lagrange approach. ENGINEERING IN LIFE SCIENCES, 16(7), Article 7. https://doi.org/10.1002/elsc.201500135
  69. Caracciolo, E., Kemnitzer, M., Rumpel, M., Guandalini, A., Pirzio, F., Kienle, F., Graf, T., Ahmed, M. A., der Au, J. A., & Agnesi, A. (o. J.). Single-grating-mirror intracavity stretcher design for chirped pulse    regenerative amplification. OPTICS LETTERS, 40(7), Article 7. https://doi.org/10.1364/OL.40.001532
  70. Freitag, C., Wiedenmann, M., Negel, J.-P., Loescher, A., Onuseit, V., Weber, R., Ahmed, M. A., & Graf, T. (o. J.). High-quality processing of CFRP with a 1.1-kW picosecond laser. APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 119(4), Article 4. https://doi.org/10.1007/s00339-015-9159-3
  71. Heider, A., Weber, R., Herrmann, D., Herzog, P., & Graf, T. (o. J.). Power modulation to stabilize laser welding of copper. JOURNAL OF LASER APPLICATIONS, 27(2), Article 2. https://doi.org/10.2351/1.4906127
  72. Henkel, M., Zwick, M., Beuker, J., Willenbacher, J., Baumann, S., Oswald, F., Neumann, A., Siemann-Herzberg, M., Syldatk, C., & Hausmann, R. (o. J.). Teaching bioprocess engineering to undergraduates: Multidisciplinary    hands-on training in a one-week practical course. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION, 43(3), Article 3. https://doi.org/10.1002/bmb.20860
  73. Lieder, S., Nikel, P. I., de Lorenzo, V., & Takors, R. (o. J.). Genome reduction boosts heterologous gene expression in Pseudomonas    putida. MICROBIAL CELL FACTORIES, 14. https://doi.org/10.1186/s12934-015-0207-7
  74. Mateo, C. M. N., Brauch, U., Schwarzbaeck, T., Kahle, H., Jetter, M., Ahmed, M. A., Michler, P., & Graf, T. (o. J.). Enhanced efficiency of AlGaInP disk laser by in-well pumping. OPTICS EXPRESS, 23(3), Article 3. https://doi.org/10.1364/OE.23.002472
  75. Matuszczyk, J.-C., Teleki, A., Pfizenmaier, J., & Takors, R. (o. J.). Compartment-specific metabolomics for CHO reveals that ATP pools in    mitochondria are much lower than in cytosol. BIOTECHNOLOGY JOURNAL, 10(10, SI), Article 10, SI. https://doi.org/10.1002/biot.201500060
  76. Mucha, P., Berger, P., Weber, R., Speker, N., Sommer, B., & Graf, T. (o. J.). Calibrated heat flow model for the determination of different    heat-affected zones in single-pass laser-cut CFRP using a cw CO2 laser. APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 118(4), Article 4. https://doi.org/10.1007/s00339-014-8932-z
  77. Pfizenmaier, J., Matuszczyk, J.-C., & Takors, R. (o. J.). Changes in intracellular ATP-content of CHO cells as response to    hyperosmolality. BIOTECHNOLOGY PROGRESS, 31(5), Article 5. https://doi.org/10.1002/btpr.2143
  78. Rimbon, J., Sanchez-Kopper, A., Wahl, A., & Takors, R. (o. J.). Monitoring intracellular protein degradation in antibody-producing    Chinese hamster ovary cells. ENGINEERING IN LIFE SCIENCES, 15(5, SI), Article 5, SI. https://doi.org/10.1002/elsc.201400103
  79. Teleki, A., Sanchez-Kopper, A., & Takors, R. (o. J.). Alkaline conditions in hydrophilic interaction liquid chromatography for    intracellular metabolite quantification using tandem mass spectrometry. ANALYTICAL BIOCHEMISTRY, 475, 4–13. https://doi.org/10.1016/j.ab.2015.01.002
  80. Vallon, T., Simon, O., Rendgen-Heugle, B., Frana, S., Mueckschel, B., Broicher, A., Siemann-Herzberg, M., Pfannenstiel, J., Hauer, B., Huber, A., Breuer, M., & Takors, R. (o. J.). Applying systems biology tools to study n-butanol degradation in    Pseudomonas putida KT2440. ENGINEERING IN LIFE SCIENCES, 15(8), Article 8. https://doi.org/10.1002/elsc.201400051
  81. Buchholz, J., Graf, M., Freund, A., Busche, T., Kalinowski, J., Blombach, B., & Takors, R. (o. J.). CO2/HCO3 (-) perturbations of simulated large scale gradients in a    scale-down device cause fast transcriptional responses in    Corynebacterium glutamicum. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 98(20), Article 20. https://doi.org/10.1007/s00253-014-6014-y
  82. Buchholz, J., Graf, M., Blombach, B., & Takors, R. (o. J.). Improving the carbon balance of fermentations by total carbon analyses. BIOCHEMICAL ENGINEERING JOURNAL, 90, 162–169. https://doi.org/10.1016/j.bej.2014.06.007
  83. Gelves, R., Dietrich, A., & Takors, R. (o. J.). Modeling of gas-liquid mass transfer in a stirred tank bioreactor    agitated by a Rushton turbine or a new pitched blade impeller. BIOPROCESS AND BIOSYSTEMS ENGINEERING, 37(3), Article 3. https://doi.org/10.1007/s00449-013-1001-8
  84. Lieder, S., Jahn, M., Seifert, J., von Bergen, M., Mueller, S., & Takors, R. (o. J.). Subpopulation-proteomics reveal growth rate, but not cell cycling, as a    major impact on protein composition in Pseudomonas putida KT2440. AMB EXPRESS, 4. https://doi.org/10.1186/s13568-014-0071-6
  85. Lindner, R., Moosmann, A., Dietrich, A., Boettinger, H., Kontermann, R., & Siemann-Herzberg, M. (o. J.). Process development of periplasmatically produced single chain fragment    variable against epidermal growth factor receptor in Escherichia coli. JOURNAL OF BIOTECHNOLOGY, 192(A), Article A. https://doi.org/10.1016/j.jbiotec.2014.10.003
  86. Schuhmacher, T., Loeffler, M., Hurler, T., & Takors, R. (o. J.). Phosphate limited fed-batch processes: Impact on carbon usage and energy    metabolism in Escherichia coli. JOURNAL OF BIOTECHNOLOGY, 190, 96–104. https://doi.org/10.1016/j.jbiotec.2014.04.025
  87. Sudarsan, S., Dethlefsen, S., Blank, L. M., Siemann-Herzberg, M., & Schmid, A. (o. J.). The Functional Structure of Central Carbon Metabolism in Pseudomonas    putida KT2440. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 80(17), Article 17. https://doi.org/10.1128/AEM.01643-14
  88. Weber, R., Graf, T., Berger, P., Onuseit, V., Wiedenmann, M., Freitag, C., & Feuer, A. (o. J.). Heat accumulation during pulsed laser materials processing (vol 22, pg    11312, 2014). OPTICS EXPRESS, 22(23), Article 23. https://doi.org/10.1364/OE.22.028232
  89. Blombach, B., Buchholz, J., Busche, T., Kalinowski, J., & Takors, R. (o. J.). Impact of different CO2/HCO3- levels on metabolism and regulation in    Corynebacterium glutamicum. JOURNAL OF BIOTECHNOLOGY, 168(4), Article 4. https://doi.org/10.1016/j.jbiotec.2013.10.005
  90. Buchholz, J., Schwentner, A., Brunnenkan, B., Gabris, C., Grimm, S., Gerstmeir, R., Takors, R., Eikmanns, B. J., & Blombach, B. (o. J.). Platform Engineering of Corynebacterium glutamicum with Reduced Pyruvate    Dehydrogenase Complex Activity for Improved Production of L-Lysine,    L-Valine, and 2-Ketoisovalerate. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 79(18), Article 18. https://doi.org/10.1128/AEM.01741-13
  91. Soellner, S., Rahnert, M., Siemann-Herzberg, M., Takors, R., & Altenbuchner, J. (o. J.). Evolution of pyruvate kinase-deficient Escherichia coli mutants enables    glycerol-based cell growth and succinate production. JOURNAL OF APPLIED MICROBIOLOGY, 115(6), Article 6. https://doi.org/10.1111/jam.12333
  92. Vallon, T., Glemser, M., Malca, S. H., Scheps, D., Schmid, J., Siemann-Herzberg, M., Hauer, B., & Takors, R. (o. J.). Production of 1-Octanol from n-Octane by Pseudomonas putida KT2440. CHEMIE INGENIEUR TECHNIK, 85(6), Article 6. https://doi.org/10.1002/cite.201200178
  93. Takors, R. (o. J.). Scale-up of microbial processes: Impacts, tools and open questions. JOURNAL OF BIOTECHNOLOGY, 160(1–2), Article 1–2. https://doi.org/10.1016/j.jbiotec.2011.12.010
  94. Bongaerts, J., Esser, S., Lorbach, V., Al-Momani, L., Mueller, M. A., Franke, D., Grondal, C., Kurutsch, A., Bujnicki, R., Takors, R., Raeven, L., Wubbolts, M., Bovenberg, R., Nieger, M., Schuermann, M., Trachtmann, N., Kozak, S., Sprenger, G. A., & Mueller, M. (o. J.). Diversity-Oriented Production of Metabolites Derived from Chorismate and    Their Use in Organic Synthesis. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 50(34), Article 34. https://doi.org/10.1002/anie.201103261
  95. Vielhauer, O., Zakhartsev, M., Horn, T., Takors, R., & Reuss, M. (o. J.). Simplified absolute metabolite quantification by gas    chromatography-isotope dilution mass spectrometry on the basis of    commercially available source material. JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL  AND LIFE SCIENCES, 879(32), Article 32. https://doi.org/10.1016/j.jchromb.2011.10.036
  96. Wenzel, M., Mueller, A., Siemann-Herzberg, M., & Altenbuchner, J. (o. J.). Self-Inducible Bacillus subtilis Expression System for Reliable and    Inexpensive Protein Production by High-Cell-Density Fermentation. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 77(18), Article 18. https://doi.org/10.1128/AEM.05219-11
  97. Canelas, A. B., Harrison, N., Fazio, A., Zhang, J., Pitkanen, J.-P., van den Brink, J., Bakker, B. M., Bogner, L., Bouwman, J., Castrillo, J. I., Cankorur, A., Chumnanpuen, P., Daran-Lapujade, P., Dikicioglu, D., van Eunen, K., Ewald, J. C., Heijnen, J. J., Kirdar, B., Mattila, I., … Nielsen, J. (o. J.). Integrated multilaboratory systems biology reveals differences in    protein metabolism between two reference yeast strains. NATURE COMMUNICATIONS, 1. https://doi.org/10.1038/ncomms1150
  98. Hardiman, T., Meinhold, H., Hofmann, J., Ewald, J. C., Siemann-Herzberg, M., & Reuss, M. (o. J.). Prediction of kinetic parameters from DNA-binding site sequences for    modeling global transcription dynamics in Escherichia coli. METABOLIC ENGINEERING, 12(3), Article 3. https://doi.org/10.1016/j.ymben.2009.10.006
  99. Schuhmacher, T., Lemuth, K., Hardiman, T., Vacun, G., Reuss, M., & Siemann-Herzberg, M. (o. J.). Quantifying cytosolic messenger RNA concentrations in Escherichia coli    using real-time polymerase chain reaction for a systems biology approach. ANALYTICAL BIOCHEMISTRY, 398(2), Article 2. https://doi.org/10.1016/j.ab.2009.11.025
  100. Magnus, J. B., Oldiges, M., & Takors, R. (o. J.). The Identification of Enzyme Targets for the Optimization of a Valine    Producing Corynebacterium glutamicum Strain Using a Kinetic Model. BIOTECHNOLOGY PROGRESS, 25(3), Article 3. https://doi.org/10.1002/btpr.184

Best Practices

  1. Garbuglia, F., Saenen, B., Gaillard, V., & Engelhardt, C. (2021). D7.5 Good Practices in FAIR Competence Education. Zenodo. https://doi.org/10.5281/zenodo.5785253
  2. Kümmet, S., Lücke, S., Schulz, J., Spenger, M., & Weber, T. (2019). DataCite Best Practice Guide. Zenodo. https://doi.org/10.5281/zenodo.3559799
  3. Ostendorff, P., & Linke, D. (2019). Best-Practices im Umgang mit rechtlichen Fragestellungen zum Forschungsdatenmanagement (FDM). Bibliotheksdienst, 53(10–11), Article 10–11. https://doi.org/10.1515/bd-2019-0098
  4. Austin, C. C., Bloom, T., Dallmeier-Tiessen, S., Khodiyar, V. K., Murphy, F., Nurnberger, A., Raymond, L., Stockhause, M., Tedds, J., Vardigan, M., & Whyte, A. (2017). Key components of data publishing: using current best practices to develop a reference model for data publishing. International Journal on Digital Libraries, 18(2), Article 2. https://doi.org/10.1007/s00799-016-0178-2
  5. Fehr, J., and Jan Heiland, Himpe, C., & Saak, J. (2016). Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software. AIMS Mathematics, 1(3), Article 3. https://doi.org/10.3934/math.2016.3.261

Beschreibung von Forschungsdaten

  1. Schembera, B., & Iglezakis, D. (o. J.). The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering. In Metadata and Semantic Research. 12th International Conference, MTSR 2018, Limassol, Cyprus, 23-26 October 2018, Proceedings. Springer.
  2. Behr, A. S., Völkenrath, M., & Kockmann, N. (2023). Ontology Extension with NLP-based Concept Extraction for Domain Experts in Catalytic Sciences. https://doi.org/10.21203/rs.3.rs-2457909/v1
  3. Buys, M. (2023). DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations. Zenodo. https://doi.org/10.5281/ZENODO.7634709
  4. Buys, M. (2023). DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations. Zenodo. https://doi.org/10.5281/ZENODO.7634709
  5. Groth, P., Simperl, E., van Erp, M., & Vrandečić, D. (2023). Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century (Dagstuhl Seminar 22372). https://doi.org/10.4230/DAGREP.12.9.60
  6. Gruenpeter, M., Granger, S., Monteil, A., Chue Hong, N., Breitmoser, E., Antonioletti, M., Garijo, D., González Guardia, E., Gonzalez Beltran, A., Goble, C., Soiland-Reyes, S., Juty, N., & Mejias, G. (2023). D4.4 - Guidelines for recommended metadata                    standard for research software within EOSC. Zenodo. https://doi.org/10.5281/zenodo.8097537
  7. Gruenpeter, M., Granger, S., Monteil, A., Chue Hong, N., Breitmoser, E., Antonioletti, M., Garijo, D., González Guardia, E., Gonzalez Beltran, A., Goble, C., Soiland-Reyes, S., Juty, N., & Mejias, G. (2023). D4.4 - Guidelines for recommended metadata                    standard for research software within EOSC. Zenodo. https://doi.org/10.5281/zenodo.8097537
  8. Gruenpeter, M., Granger, S., Monteil, A., Chue Hong, N., Breitmoser, E., Antonioletti, M., Garijo, D., González Guardia, E., Gonzalez Beltran, A., Goble, C., Soiland-Reyes, S., Juty, N., & Mejias, G. (2023). D4.4 - Guidelines for recommended metadata                    standard for research software within EOSC. Zenodo. https://doi.org/10.5281/zenodo.8097537
  9. Lauterbach, S., Dienhart, H., Range, J., Malzacher, S., Spöring, J.-D., Rother, D., Pinto, M. F., Martins, P., Lagerman, C. E., Bommarius, A. S., Høst, A. V., Woodley, J. M., Ngubane, S., Kudanga, T., Bergmann, F. T., Rohwer, J. M., Iglezakis, D., Weidemann, A., Wittig, U., … Pleiss, J. (2023). EnzymeML: seamless data flow and modeling of enzymatic data. Nature Methods. https://doi.org/10.1038/s41592-022-01763-1
  10. Lauterbach, S., Dienhart, H., Range, J., Malzacher, S., Spöring, J.-D., Rother, D., Pinto, M. F., Martins, P., Lagerman, C. E., Bommarius, A. S., Høst, A. V., Woodley, J. M., Ngubane, S., Kudanga, T., Bergmann, F. T., Rohwer, J. M., Iglezakis, D., Weidemann, A., Wittig, U., … Pleiss, J. (2023). EnzymeML: seamless data flow and modeling of enzymatic data. Nature Methods. https://doi.org/10.1038/s41592-022-01763-1
  11. Arndt, S., Farnbacher, B., Fuhrmans, M., Hachinger, S., Hickmann, J., Hoppe, N., Horsch, M. T., Iglezakis, D., Karmacharya, A., Lanza, G., Leimer, S., Munke, J., Terzijska, D., Theissen-Lipp, J., Wiljes, C., & Windeck, J. (2022). Metadata4Ing: An ontology for describing the generation of research data within a scientific activity. (Zenodo, Hrsg.). Zenodo. https://doi.org/10.5281/zenodo.5957104
  12. Doorn, P., Steinhoff, W., Verburg, M., Grootveld, M., & Dillo, I. (2022). F-UJI and FAIR Enough tool comparison dataset (European Research Data Landscape study). Zenodo. https://doi.org/10.5281/ZENODO.7371409
  13. Druskat, S., Bertuch, O., Juckeland, G., Knodel, O., & Schlauch, T. (2022). Software publications with rich metadata: state of the art, automated workflows and HERMES concept.
  14. Druskat, S., Bertuch, O., Juckeland, G., Knodel, O., & Schlauch, T. (2022). Software publications with rich metadata: state of the art, automated workflows and HERMES concept.
  15. Hirsch, M., Iglezakis, D., Leymann, F., & Zimmermann, M. (2022). The ReSUS Project - Infrastructure for Sharing Research Software. In E-Science-Tage 2021: Share Your Research Data (S. 267–276). heiBOOKS. https://doi.org/10.11588/HEIBOOKS.979.C13737
  16. Anzt, H., Bach, F., Druskat, S., Löffler, F., Loewe, A., Renard, B. Y., Seemann, G., Struck, A., Achhammer, E., Aggarwal, P., Appel, F., Bader, M., Brusch, L., Busse, C., Chourdakis, G., Dabrowski, P. W., Ebert, P., Flemisch, B., Friedl, S., … Weeber, R. (2021). An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research, 9, 295. https://doi.org/10.12688/f1000research.23224.2
  17. de Vries, J., Tykhonov, V., Scharnhorst, A., Indarto, E., & Admiraal, F. (2021). Flexible metadata schemes for research data repositories -  The Common Framework in Dataverse and the CMDI use case. In M. Monachini & M. Eskevich (Hrsg.), Proceedings of the CLARIN Annual Conference 2021 (S. 109–118).
  18. Horsch, M. T., Morgado, J. F., Goldbeck, G., Iglezakis, D., Konchakova, N. A., & Schembera, B. (2021). Domain-specific metadata standardization in materials modelling. Domain Ontologies for Research Data Management in Industry Commons of Materials and Manufacturing. https://openreview.net/forum?id=uYgdGd7_wgH
  19. Iglezakis, D., Fuhrmans, M., Arndt, S., Demandt, É., Hachinger, S., Hausen, D., Lanza, G., Lipp, J., Stotzka, R., & Terzijska, D. (2021). Interoperabilität von Metadaten innerhalb der NFDI: Konsortienübergreifender Metadaten-Workshop am 2./3. Juli 2020. Bausteine Forschungsdatenmanagement, 2, Article 2. https://doi.org/10.17192/bfdm.2021.2.8313
  20. Iglezakis, D., Fuhrmans, M., Arndt, S., Demandt, É., Hachinger, S., Hausen, D., Lanza, G., Lipp, J., Stotzka, R., & Terzijska, D. (2021). Interoperabilität von Metadaten innerhalb der NFDI: Konsortienübergreifender Metadaten-Workshop am 2./3. Juli 2020. Bausteine Forschungsdatenmanagement, 2, Article 2. https://doi.org/10.17192/bfdm.2021.2.8313
  21. Schembera, B. (2021). Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data. The Journal of Supercomputing. https://doi.org/10.1007/s11227-020-03602-6
  22. Wu, M., Juty, N., Research Metadata Schemas WG, R., Collins, J., Duerr, R., Ridsdale, C., Shepherd, A., Verhey, C., & Jael Castro, L. (2021). Guidelines for publishing structured metadata on the web (R. D. Alliance, Hrsg.). https://www.rd-alliance.org/system/files/documents/Guidelines%20for%20publishing%20structured%20data_V3.0_20210615.pdf
  23. Biernacka, K. (2020). LEGO® Metadaten für die Reproduzierbarkeit. Zenodo. https://doi.org/10.5281/ZENODO.3733164
  24. Heinrichs, B., & Politze, M. (2020). Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods. KDIR, 227--234.
  25. Hermann, S., Schneider, M., Flemisch, B., Frey, S., Iglezakis, D., Ruf, M., Schembera, B., Seeland, A., & Steeb, H. (2020). Datenmanagement im SFB 1313. Bausteine Forschungsdatenmanagement, 1, Article 1. https://doi.org/10.17192/bfdm.2020.1.8085
  26. Hermann, S., Schneider, M., Flemisch, B., Frey, S., Iglezakis, D., Ruf, M., Schembera, B., Seeland, A., & Steeb, H. (2020). Datenmanagement im SFB 1313. Bausteine Forschungsdatenmanagement, 1, Article 1. https://doi.org/10.17192/bfdm.2020.1.8085
  27. Hub, T. C. I. (Hrsg.). (2020). A survey of Top-Level Ontologies.
  28. Hugo, W., Le Franc, Y., Coen, G., Parland-von Essen, J., & Bonino, L. (2020). D2.5 FAIR Semantics Recommendations Second Iteration. https://doi.org/10.5281/ZENODO.4314321
  29. Kesper, A., Wenz, V., & Taentzer, G. (2020). Detecting Quality Problems in Research Data: A Model-Driven Approach. http://arxiv.org/abs/2007.11298
  30. Schembera, B., & Iglezakis, D. (2020). EngMeta - Metadata for Computational Engineering. International Journal of Metadata, Semantics and Ontologies, 14(1), Article 1. https://doi.org/10.1504/IJMSO.2020.107792
  31. Selent, B., Kraus, H., Hansen, N., Schembera, B., Seeland, A., & Iglezakis, D. (2020). Management of Research Data in Computational Fluid Dynamics and Thermodynamics. In V. Heuveline, F. Gebhart, & N. Mohammadianbisheh (Hrsg.), E-Science-Tage 2019: Data to Knowledge (S. 128–139). HeiBOOKS. https://doi.org/10.11588/heibooks.598
  32. Grunzke, R., Hartmann, V., Jejkal, T., Kollai, H., Prabhune, A., Herold, H., Deicke, A., Dressler, C., Dolhoff, J., Stanek, J., Hoffmann, A., Müller-Pfefferkorn, R., Schrade, T., Meinel, G., Herres-Pawlis, S., & Nagel, W. E. (2019). The MASi repository service — Comprehensive, metadata-driven and multi-community research data management. Future Generation Computer Systems, 94, 879–894. https://doi.org/10.1016/j.future.2017.12.023
  33. Horsch, M. T., Niethammer, C., Boccardo, G., Carbone, P., Chiacchiera, S., Chiricotto, M., Elliott, J. D., Lobaskin, V., Neumann, P., Schiffels, P., Seaton, M. A., Todorov, I. T., Vrabec, J., & Cavalcanti, W. L. (2019). Semantic Interoperability and Characterization of Data Provenance in Computational Molecular Engineering. Journal of Chemical & Engineering Data, 65(3), Article 3. https://doi.org/10.1021/acs.jced.9b00739
  34. Iglezakis, D., & Schembera, B. (2019). EngMeta - a Metadata Scheme for the Engineering Sciences. DaRUS. https://doi.org/10.18419/darus-500
  35. Iglezakis, D. (2019). Relevance of Different Metadata Fields for the Description of Research Data from the Engineering Sciences (DaRUS, Hrsg.). https://doi.org/10.18419/darus-501
  36. Kümmet, S., Lücke, S., Schulz, J., Spenger, M., & Weber, T. (2019). DataCite Best Practice Guide. Zenodo. https://doi.org/10.5281/zenodo.3559799
  37. Schembera, B., & Iglezakis, D. (2019). The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering. In E. Garoufallou, F. Sartori, R. Siatri, & M. Zervas (Hrsg.), Metadata and Semantic Research (846; Nummer 846, S. 127–132). Springer International Publishing. https://doi.org/10.1007/978-3-030-14401-2_12
  38. Schembera, B., & Iglezakis, D. (2019). The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering. In E. Garoufallou, F. Sartori, R. Siatri, & M. Zervas (Hrsg.), Metadata and Semantic Research (846; Nummer 846, S. 127–132). Springer International Publishing. https://doi.org/10.1007/978-3-030-14401-2_12
  39. Selent, B., Schembera, B., Iglezakis, D., & Seeland, A. (2019). Datenmanagement in Infrastrukturen, Prozessen und Lebenszyklen für die Ingenieurwissenschaften : Abschlussbericht des BMBF-Projektes Dipl-Ing. Universität Stuttgart; https://doi.org/10.2314/KXP:1693393980
  40. Sprenger, J., Zehl, L., Pick, J., Sonntag, M., Grewe, J., Wachtler, T., Grün, S., & Denker, M. (2019). odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Ludwig-Maximilians-Universität München. https://epub.ub.uni-muenchen.de/69215/
  41. Balatsoukas, P., Rousidis, D., & Garoufallou, E. (2018). A method for examining metadata quality in open research datasets using the OAI-PMH and SQL queries: the case of the Dublin Core „Subject“ element and suggestions for user-centred metadata annotation design. IJMSO, 13(1), Article 1. http://dblp.uni-trier.de/db/journals/ijmso/ijmso13.html#BalatsoukasRG18
  42. Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit And Preservation Policy And Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
  43. Fowler, D., Barratt, J., & Walsh, P. (2018). Frictionless Data: Making Research Data Quality Visible. International Journal of Digital Curation, 12(2), Article 2. https://doi.org/10.2218/ijdc.v12i2.577
  44. Gärtner, M., Hahn, U., & Hermann, S. (2018). Preserving Workflow Reproducibility: The RePlay-DH Client as a Tool for Process Documentation. In N. Calzolari, K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, S. Piperidis, & T. Tokunaga (Hrsg.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (S. 563--570). European Language Resources Association (ELRA).
  45. Gärtner, M., Hahn, U., & Hermann, S. (2018). Preserving Workflow Reproducibility: The RePlay-DH Client as a Tool for Process Documentation. In N. C. (Conference chair), K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, S. Piperidis, & T. Tokunaga (Hrsg.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA).
  46. Bieliauskas, S., & Schreiber, A. (2017). DLR-SC/prov-comics: QS PROV Comics Prototype - Big                    fixes. Zenodo. https://doi.org/10.5281/zenodo.555927
  47. Group, D. M. W. (2017). DataCite Metadata Schema for the Publication and Citation of Research Data. Version 4.1. https://doi.org/10.5438/0015
  48. Hellerstein, J. M., Sreekanti, V., Gonzalez, J. E., Dalton, J., Dey, A., Nag, S., Ramachandran, K., Arora, S., Bhattacharyya, A., Das, S., & others. (2017). Ground: A Data Context Service. CIDR.
  49. Jones, M. B., Boettiger, C., Mayes, A. C., Smith, A., Slaughter, P., Niemeyer, K., Gil, Y. G., Fenner, M., Nowak, K., Hahnel, M., Coy, L., Allen, A., Crosas, M., Sands, A., Hong, N. C., Cruse, P., Katz, D., & Goble, C. (2017). CodeMeta: an exchange schema for software metadata. Version 2.0. https://doi.org/10.5063/schema/codemeta-2.0
  50. Schembera, B., & Bönisch, T. (2017). Challenges of Research Data Management for High Performance Computing. International Conference on Theory and Practice of Digital Libraries, 140--151. https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12
  51. Schreiber, A., & Struminski, R. (2017). Tracing personal data using comics. Universal Access in Human--Computer Interaction. Design and Development Approaches and Methods: 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9--14, 2017, Proceedings, Part I 11, 444--455.
  52. Stein, A., Applegate, K. J., & Robbins, S. (2017). Achieving and Maintaining Metadata Quality: Toward a Sustainable Workflow for the IDEALS Institutional Repository. Cataloging & Classification Quarterly, 55(7–8), Article 7–8. https://doi.org/10.1080/01639374.2017.1358786
  53. Wilkinson, M. D., Sansone, S.-A., Schultes, E., Doorn, P., Bonino da Silva Santos, L. O., & Dumontier, M. (2017). A design framework and exemplar metrics for FAIRness. bioRxiv. https://doi.org/10.1101/225490
  54. Kohwalter, T., Oliveira, T., Freire, J., Clua, E., & Murta, L. (2016). Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data. In M. Mattoso & B. Glavic (Hrsg.), Provenance and Annotation of Data and Processes (S. 71--82). Springer International Publishing.
  55. Neumaier, S., Umbrich, J., & Polleres, A. (2016). Automated quality assessment of metadata across open data portals. Journal of Data and Information Quality (JDIQ), 8(1), Article 1.
  56. Pimentel, J. F., Freire, J., Braganholo, V., & Murta, L. (2016). Tracking and Analyzing the Evolution of Provenance from Scripts. In M. Mattoso & B. Glavic (Hrsg.), Provenance and Annotation of Data and Processes (S. 16--28). Springer International Publishing.
  57. Pizzi, G., Cepellotti, A., Sabatini, R., Marzari, N., & Kozinsky, B. (2016). AiiDA: automated interactive infrastructure and database for computational science. Computational Materials Science, 111, 218–230. https://doi.org/10.1016/j.commatsci.2015.09.013
  58. Schreiber, A. (2016). Standardisierung eines erweiterbaren Modells für Provenance-Daten (PROV-SPEC) (2016–04). 2016–04, Article 2016–04.
  59. Wu, K., Coviello, E. N., Flanagan, S. M., Greenwald, M., Lee, X., Romosan, A., Schissel, D. P., Shoshani, A., Stillerman, J., & Wright, J. (2016). MPO: A System to Document and Analyze Distributed Heterogeneous Workflows. In M. Mattoso & B. Glavic (Hrsg.), Provenance and Annotation of Data and Processes (S. 166--170). Springer International Publishing.
  60. Belhajjame, K., Zhao, J., Garijo, D., Gable, M., Hettne, K., Palma, R., Mina, E., Corcho, O., Gómez-Pérez, J. M., Bechofer, S., Klyne, G., & Goble, C. (2015). Using a suite of ontologies for preserving workflow-centric research objects. Web Semantics: Science, Services and Agents on the World Wide Web, 32, 16–42. https://doi.org/10.1016/j.websem.2015.01.003
  61. Belhajjame, K., Zhao, J., Garijo, D., Gamble, M., Hettne, K., Palma, R., Mina, E., Corcho, O., Gómez-Pérez, J. M., Bechhofer, S., Klyne, G., & Goble, C. (2015). Using a suite of ontologies for preserving workflow-centric research objects. Journal of Web Semantics, 32, 16–42. https://doi.org/10.1016/j.websem.2015.01.003
  62. Cai, L., & Zhu, Y. (2015). The Challenges of Data Quality and Data Quality Assessment in the Big Data Era. Data Science Journal, 14(0), Article 0. https://doi.org/10.5334/dsj-2015-002
  63. Chao, T. (2015). Mapping Methods Metadata for Research Data. International Journal of Digital Curation, 10(1), Article 1. https://doi.org/10.2218/ijdc.v10i1.347
  64. Moreau, L., Groth, P., Cheney, J., Lebo, T., & Miles, S. (2015). The rationale of PROV. Web Semantics: Science, Services and Agents on the World Wide Web, 35(4), Article 4. https://doi.org/10.1016/j.websem.2015.04.001
  65. Rasaiah, B. A., Jones, S. D., Bellman, C., Malthus, T. J., & Hueni, A. (2015). Assessing Field Spectroscopy Metadata Quality. Remote Sensing, 7(4), Article 4. http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing7.html#RasaiahJBMH15
  66. Rasaiah, B. A., Bellman, C., Jones, S. D., Malthus, T. J., & Roelfsema, C. M. (2015). Towards an Interoperable Field Spectroscopy Metadata Standard with Extended Support for Marine Specific Applications. Remote Sensing, 7(11), Article 11. http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing7.html#RasaiahBJMR15
  67. Starr, J., Castro, E., Crosas, M., Dumontier, M., Downs, R. R., Duerr, R., Haak, L. L., Haendel, M., Herman, I., Hodson, S., Hourclé, J., Kratz, J. E., Lin, J., Nielsen, L. H., Nurnberger, A., Proell, S., Rauber, A., Sacchi, S., Smith, A., … Clark, T. (2015). Achieving human and machine accessibility of cited data in scholarly publications. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.1
  68. Amorim, R., Aguiar Castro, J., Rocha, J., & Ribeiro, C. (2014). LabTablet: Semantic Metadata Collection on a Multi-domain Laboratory Notebook. Communications in Computer and Information Science, 478, 193–205. https://doi.org/10.1007/978-3-319-13674-5_19
  69. Brauer, P., Czerniak, A., & Hasselbring, W. (2014). Start Smart and Finish Wise: The Kiel Marine Science Provenance-Aware Data Management Approach. In A. Chapman, B. Ludäscher, & A. Schreiber (Hrsg.), TAPP. USENIX Association. http://dblp.uni-trier.de/db/conf/tapp/tapp2014.html#BrauerCH14
  70. Farnel, S., & Shiri, A. (2014). Metadata for Research Data: Current Practices and Trends. In W. E. Moen & A. Rushing (Hrsg.), Dublin Core Conference (S. 74–82). Dublin Core Metadata Initiative. http://dblp.uni-trier.de/db/conf/dc/dc2014.html#FarnelS14
  71. Grunzke, R., Hesser, J., Starek, J., Kepper, N., Gesing, S., Hardt, M., Hartmann, V., Kindermann, S., Potthoff, J., Hausmann, M., Müller-Pfefferkorn, R., & Jäkel, R. (2014). Device-Driven Metadata Management Solutions for Scientific Big Data Use Cases. 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 317–321.
  72. Grunzke, R., Breuers, S., Gesing, S., Herres-Pawlis, S., Kruse, M., Blunk, D., de la Garza, L., Packschies, L., Schäfer, P., Schärfe, C., Schlemmer, T., Steinke, T., Schuller, B., Müller-Pfefferkorn, R., Jäkel, R., Nagel, W. E., Atkinson, M., & Krüger, J. (2014). Standards-based metadata management for molecular simulations. Concurrency and Computation: Practice and Experience, 26(10), Article 10. https://doi.org/10.1002/cpe.3116
  73. Grunzke, R., Breuers, S., Gesing, S., Herres-Pawlis, S., Kruse, M., Blunk, D., de la Garza, L., Packschies, L., Schäfer, P., Schärfe, C., Schlemmer, T., Steinke, T., Schuller, B., Müller-Pfefferkorn, R., Jäkel, R., Nagel, W. E., Atkinson, M. P., & Krüger, J. (2014). Standards-based metadata management for molecular simulations. Concurrency and Computation: Practice and Experience, 26(10), Article 10. http://dblp.uni-trier.de/db/journals/concurrency/concurrency26.html#GrunzkeBGHKBGPSSSSSMJNA014
  74. Malik, T. (2014). Geobase: Indexing NetCDF Files for large-scale Data Analysis. In Big Data Management, Technologies, and Applications (S. 295--313). IGI Global. https://doi.org/10.4018/978-1-4666-4699-5.ch012
  75. Rousidis, D., Sicilia, M.-Á., Garoufallou, E., & Balatsoukas, P. (2014). Data Quality Issues and Content Analysis for Research Data Repositories : The Case of Dryad. In P. Polydoratou & M. Dobreva (Hrsg.), ELPUB (S. 49–58). IOS Press. http://dblp.uni-trier.de/db/conf/elpub/elpub2014.html#RousidisSGB14
  76. Rousidis, D., Garoufallou, E., Balatsoukas, P., & Sicilia, M.-Á. (2014). Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories. Inf. Services and Use, 34(3–4), Article 3–4. http://dblp.uni-trier.de/db/journals/isu/isu34.html#RousidisGBS14
  77. Tran, H. D., Holt, J., Goodrich, R. W., Mader, J. A., Swain, M., Laity, A. C., Kong, M., Gelino, C. R., & Berriman, G. B. (2014). Metadata and Data Management for the Keck Observatory Archive. https://doi.org/10.1117/12.2054830
  78. Bechhofer, S., Buchan, I., de Roure, D., Missier, P., Ainsworth, J., Bhagat, J., Couch, P., Cruickshank, D., Delderfield, M., Dunlop, I., Gamble, M., Michaelides, D., Owen, S., Newman, D., Sufi, S., & Goble, C. (2013). Why linked data is not enough for scientists. Future Generation Computer Systems, 29(2), Article 2. https://doi.org/10.1016/j.future.2011.08.004
  79. Lebo, T., Sahoo, S., McGuinness, D., Belhajjame, K., Cheney, J., Corsar, D., Garijo, D., Soiland-Reyes, S., Zednik, S., & Zhao, J. (2013). PROV-O: The PROV Ontology. https://www.w3.org/TR/prov-o/
  80. Sahoo, S., Lebo, T., & McGuinness, D. (2013). PROV-O: The PROV Ontology [W3C Recommendation]. W3C.
  81. Grewe, J., Wachtler, T., & Benda, J. (2011). A Bottom-up Approach to Data Annotation in Neurophysiology. Frontiers in Neuroinformatics, 5. https://doi.org/10.3389/fninf.2011.00016
  82. Han, J., Miller, J. A., & Silver, G. A. (2011). SoPT: Ontology for simulation optimization for scientific experiments. Proceedings of the 2011 Winter Simulation Conference (WSC), 2909–2920. https://doi.org/10.1109/WSC.2011.6147994
  83. Murray-Rust, P., & Rzepa, H. S. (2011). CML: Evolution and design. J. Cheminformatics, 3, 44. http://dblp.uni-trier.de/db/journals/jcheminf/jcheminf3.html#Murray-RustR11
  84. Murray-Rust, P., Townsend, J., Adams, S. E., Phadungsukanan, W., & Thomas, J. (2011). The semantics of Chemical Markup Language (CML): dictionaries and conventions. J. Cheminformatics, 3, 43. http://dblp.uni-trier.de/db/journals/jcheminf/jcheminf3.html#Murray-RustTAPT11
  85. Haslhofer, B., & Klas, W. (2010). A survey of techniques for achieving metadata interoperability. ACM Comput. Surv., 42(2), Article 2. https://doi.org/10.1145/1667062.1667064
  86. Park, J.-R., & Tosaka, Y. (2010). Metadata Quality Control in Digital Repositories and Collections: Criteria, Semantics, and Mechanisms. Cataloging & Classification Quarterly, 48(8), Article 8. https://doi.org/10.1080/01639374.2010.508711
  87. Park, J.-R. (2009). Metadata Quality in Digital Repositories: A Survey of the Current State of the Art. Cataloging & Classification Quarterly, 47(3–4), Article 3–4. https://doi.org/10.1080/01639370902737240
  88. Hillmann, D. I. (2008). Metadata Quality: From Evaluation to Augmentation. Cataloging & Classification Quarterly, 46(1), Article 1. https://doi.org/10.1080/01639370802183008
  89. Vardigan, M., Heus, P., & Thomas, W. (2008). Data Documentation Initiative: Toward a Standard for the Social Sciences. IJDC, 3(1), Article 1. https://doi.org/10.2218/ijdc.v3i1.45
  90. Bruce, T. R., & Hillmann, D. I. (2004). The Continuum of Metadata Quality: Defning, Expression, Exploiting: Bd. Metadata in Practice. ALA Editions.
  91. Lautenschlager, M., Toussaint, F., Thiemann, H., & Reinke, M. (1998). The CERA-2 data model. https://www.pik-potsdam.de/cera/Descriptions/Publications/Papers/9807_DKRZ_TechRep15/cera2.pdf

Anforderungen der Forschungsförderer, politische Entwicklung

  1. für Bildung und Forschung (BMBF), B. (Hrsg.). (2016). Open Access in Deutschland. https://www.bmbf.de/pub/Open_Access_in_Deutschland.pdf

Kontakt

 

FoKUS – Kompetenzzentrum für Forschungsdaten

Zum Seitenanfang