Literatur

Sie wollen tiefer einsteigen? Aktuelle Literaturempfehlungen zum Thema Forschungsdatenmanagement.

Rechtliche Fragestellungen

  1. 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
  2. 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
  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. 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
  5. 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
  6. Johannes, P. C., Potthoff, J., Roßnagel, A., Neumair, B., Madiesh, M., & Hackel, S. (2013). Beweissicheres elektronisches Laborbuch (Nomos, Hrsg.).
  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. Guibault, L., & Wiebe, A. (2013). Safe to be open. Study on the protection of research data and recommendations für access and usage. Universitätsverlag Göttingen.
  9. 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
  10. Hannover, L. U., & Informationsbibliothek, T. (2018). FAQs Zu Rechtlichen Aspekten Im Umgang Mit Forschungsdaten. https://doi.org/10.5281/zenodo.1173546
  11. Käde, L. (2021). Kreative Maschinen und Urheberrecht. In Datenrecht und neue Technologien (1. Aufl., Bd. 2). Nomos. https://www.nomos-elibrary.de/10.5771/9783748912453/kreative-maschinen-und-urheberrecht?page=1
  12. Kreutzer, T., & Lahmann, H. (2019). Rechtsfragen bei Open Science. Hamburg University Press. https://doi.org/10.15460/HUP.195
  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. 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
  16. 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
  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
  19. Baumann, P. (2023). Rechte an Forschungsdaten [Trier University]. https://doi.org/10.25353/UBTR-81E9-927D-E6DD
  20. Kleinkopf, F., Jacke, J., & Gärtner, M. (2021). Urheberrechtliche Grenzen der Nachnutzung wissenschaftlicher Korpora bei computergestützten Verfahren und digitalen Ressourcen.

Forschungssoftware

  1. Flemisch, B., Hermann, S., Herschel, M., Pflüger, D., Pleiss, J., Range, J., Roy, S., Takamoto, M., & Uekermann, B. (2024). Research Data Management in Simulation Science: Infrastructure, Tools, and Applications. Datenbank-Spektrum. https://doi.org/10.1007/s13222-024-00475-4
  2. Felderer, M., Goedicke, M., Grunske, L., Hasselbring, W., Lamprecht, A.-L., & Rumpe, B. (2023). Toward Research Software Engineering Research. Zenodo. https://doi.org/10.5281/ZENODO.8020525
  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. 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
  5. 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
  6. 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.
  7. 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.
  8. Selzer, M. (2023). Kadi4Mat - Karlsruhe Data Infrastructure for Materials Science. Zenodo. https://doi.org/10.5281/ZENODO.8424794
  9. 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.
  10. 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.
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. Samuel, S., & Mietchen, D. (2022). Computational reproducibility of Jupyter notebooks from biomedical publications.
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. Cimiano, P., Pietsch, C., & Wiljes, C. (2021). Studies in Analytical Reproducibility: the Conquaire Project (S. 8057464 bytes). https://doi.org/10.4119/UNIBI/2942780
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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.).
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. Gärtner, M. (2019). RePlay-DH Client v1.3.0. https://doi.org/10.18419/darus-475
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. VSNU, NFU, KNAW, NWO and ZonMw (Hrsg.). (2019). Room for everyone’s talent.
  67. 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
  68. Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit and Preservation Policy and                    Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
  69. Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit And Preservation Policy And Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
  70. 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
  71. 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.
  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. 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.
  74. 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.
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. Katerbow, M., & Feulner, G. (2018). Handreichung zum Umgang mit Forschungssoftware. Zenodo. https://doi.org/10.5281/ZENODO.1172970
  84. Katerbow, M., & Feulner, G. (2018). Handreichung Zum Umgang Mit Forschungssoftware. Zenodo. https://doi.org/10.5281/zenodo.1172970
  85. 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
  86. 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
  87. 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
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  89. 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
  90. 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
  91. Schlauch, T., Meinel, M., & Haupt, C. (2018). DLR Software Engineering Guidelines. https://doi.org/10.5281/zenodo.1344612
  92. 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
  93. 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
  94. Bar-Sinai, M., & Dunlap, M. (2017). The Open Monolith - Keeping Your Codebase (and Your Headaches) Small (JavaOne, Hrsg.).
  95. Bieliauskas, S., & Schreiber, A. (2017). DLR-SC/prov-comics: QS PROV Comics Prototype - Big                    fixes. Zenodo. https://doi.org/10.5281/zenodo.555927
  96. 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
  97. 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
  98. 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/
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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. Bayerlein, B., Schilling, M., Birkholz, H., Jung, M., Waitelonis, J., Mädler, L., & Sack, H. (2024). PMD Core Ontology: Achieving semantic interoperability in materials science. Materials & Design, 237, 112603. https://doi.org/10.1016/j.matdes.2023.112603
  3. Bayerlein, B., Schilling, M., Birkholz, H., Jung, M., Waitelonis, J., Mädler, L., & Sack, H. (2024). PMD Core Ontology: Achieving semantic interoperability in materials science. Materials & Design, 237, 112603. https://doi.org/10.1016/j.matdes.2023.112603
  4. Gregory, A., Bell, D., Brickley, D., Buttigieg, P. L., Cox, S., Edwards, M., Doug, F., Gonzalez Morales, L. G., Heus, P., Hodson, S., Kanjala, C., Le Franc, Y., Maxwell, L., Molloy, L., Richard, S., Rizzolo, F., Winstanley, P., Wyborn, L., & Burton, A. (2024). WorldFAIR (D2.3) Cross-Domain Interoperability Framework (CDIF) (Report Synthesising Recommendations for Disciplines and Cross-Disciplinary Research Areas). https://doi.org/10.5281/ZENODO.11236871
  5. Karras, O., Budde, L., Merkel, P., Hermsdorf, J., Stonis, M., Overmeyer, L., Behrens, B.-A., & Auer, S. (2024). Organizing Scientific Knowledge from Engineering Sciences Using the Open Research Knowledge Graph: The Tailored Forming Process Chain Use Case. Data Science Journal, 23. https://doi.org/10.5334/dsj-2024-052
  6. Lin, K., Alrashed, T., & Noy, N. (2024). Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web. https://arxiv.org/abs/2408.14636
  7. Lin, K., Alrashed, T., & Noy, N. (2024). Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web. https://arxiv.org/abs/2408.14636
  8. Masmoudi, M., Ben Abdallah Ben Lamine, S., Karray, M. H., Archimede, B., & Baazaoui Zghal, H. (2024). Semantic Data Integration and Querying: A Survey and Challenges. ACM Comput. Surv., 56(8), Article 8. https://doi.org/10.1145/3653317
  9. 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
  10. Buys, M. (2023). DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations. Zenodo. https://doi.org/10.5281/ZENODO.7634709
  11. Buys, M. (2023). DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations. Zenodo. https://doi.org/10.5281/ZENODO.7634709
  12. Felderer, M., Goedicke, M., Grunske, L., Hasselbring, W., Lamprecht, A.-L., & Rumpe, B. (2023). Toward Research Software Engineering Research. Zenodo. https://doi.org/10.5281/ZENODO.8020525
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Quarati, A. (2023). Open Government Data: Usage trends and metadata quality. Journal of Information Science, 49(4), Article 4. https://doi.org/10.1177/01655515211027775
  20. Stathis, K., Ross, C., Dreyer, B., & Vierkant, P. (2023). DataCite Metadata Schema 4.4 to Schema.org Mapping (DataCite, Hrsg.). Zenodo. https://doi.org/10.5281/zenodo.7661399
  21. Wu, M., Richard, S. M., Verhey, C., Castro, L. J., Cecconi, B., & Juty, N. (2023). An Analysis of Crosswalks from Research Data Schemas to Schema.org. Data Intelligence, 5(1), Article 1. https://doi.org/10.1162/dint_a_00186
  22. Wu, M., Richard, S. M., Verhey, C., Castro, L. J., Cecconi, B., & Juty, N. (2023). An Analysis of Crosswalks from Research Data Schemas to Schema.org. Data Intelligence, 5(1), Article 1. https://doi.org/10.1162/dint_a_00186
  23. 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
  24. 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
  25. 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.
  26. 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.
  27. 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
  28. Quarati, A., & Raffaghelli, J. E. (2022). Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the Figshare case. Journal of Information Science, 48(4), Article 4. https://doi.org/10.1177/0165551520961048
  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. (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
  30. 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).
  31. 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
  32. 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
  33. 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
  34. Löffler, F., Wesp, V., König-Ries, B., & Klan, F. (2021). Dataset search in biodiversity research: Do metadata in data repositories reflect scholarly information needs? PLOS ONE, 16(3), Article 3. https://doi.org/10.1371/journal.pone.0246099
  35. 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
  36. 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
  37. Biernacka, K. (2020). LEGO® Metadaten für die Reproduzierbarkeit. Zenodo. https://doi.org/10.5281/ZENODO.3733164
  38. Heinrichs, B., & Politze, M. (2020). Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods. KDIR, 227--234.
  39. 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
  40. 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
  41. Hub, T. C. I. (Hrsg.). (2020). A survey of Top-Level Ontologies.
  42. 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
  43. Kesper, A., Wenz, V., & Taentzer, G. (2020). Detecting Quality Problems in Research Data: A Model-Driven Approach. http://arxiv.org/abs/2007.11298
  44. 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
  45. 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
  46. 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
  47. 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
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