Literatur

Sie wollen tiefer einsteigen? Aktuelle Literaturempfehlungen zum Thema Forschungsdatenmanagement.

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Rechtliche Fragestellungen

  1. Sganga, C., Gebreyesus, N. H., van Wezel, J., Foggetti, N., Amram, D., & Drago, F. (2022). EOSC-Pillar Legal Compliance Guidelines for Researchers: a Checklist (interactive digital version). Zenodo. https://doi.org/10.5281/zenodo.6327668
  2. Ostendorff, P., & Linke, D. (2019). Best-Practices im Umgang mit rechtlichen Fragestellungen zum Forschungsdatenmanagement (FDM). Bibliotheksdienst, 53, Article 10–11. https://doi.org/10.1515/bd-2019-0098
  3. 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, 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
  4. 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
  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, Eds.). https://doi.org/10.24406/sit-n-572149
  6. 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, Article 3. https://doi.org/10.5282/o-bib/5749
  7. Guibault, L., & Wiebe, A. (2013). Safe to be open. Study on the protection of research data and recommendations für access and usage. Universitätsverlag Göttingen.
  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. Volkmann, S., Feiten, L., Zimmermann, C., Sester, S., Wehle, L., & Becker, B. (2016). Digitale Tarnkappe: Anonymisierung in Videoaufnahmen. In H. C. Mayr & M. Pinzger (Eds.), GI-Jahrestagung: Vol. P-259 (pp. 413–426). GI. http://dblp.uni-trier.de/db/conf/gi/gi2016.html#VolkmannFZSWB16
  11. Johannes, P. C., Potthoff, J., Roßnagel, A., Neumair, B., Madiesh, M., & Hackel, S. (2013). Beweissicheres elektronisches Laborbuch (Nomos, Ed.).
  12. Käde, L. (2021). Kreative Maschinen und Urheberrecht (1 ed., Vol. 2). Nomos. https://www.nomos-elibrary.de/10.5771/9783748912453/kreative-maschinen-und-urheberrecht?page=1
  13. Sganga, C., Gebreyesus, N. H., van Wezel, J., Foggetti, N., Amram, D., & Drago, F. (2022). EOSC-Pillar Legal Compliance Guidelines for Researchers: a Checklist (interactive digital version). Zenodo. https://doi.org/10.5281/zenodo.6327668
  14. Kreutzer, T., & Lahmann, H. (2019). Rechtsfragen bei Open Science. Hamburg University Press. https://doi.org/10.15460/HUP.195
  15. Klimpel, P. (2018). Mehr als Materialbewahrung Über die Bedeutung von Rechteinformationen und Lizenzierung in Bibliotheken. Lizenzangaben Und Rechtedokumentationen Im Dialog – Datenflüsse Nachhaltig Gestalten.
  16. Nationalbibliothek, D. (2018). Lizenzangaben und Rechtedokumentationen im Dialog - Datenflüsse nachhaltig gestalten.
  17. Meyermann, A., & Porzelt, M. (2014). Hinweise zur Anonymisierung von qualitativen Daten. Forschungsdaten Bildung Informiert, Article 1. https://www.forschungsdaten-bildung.de/get_files.php?action=get_file&file=fdb-informiert-nr-1.pdf
  18. Ebel, T., & Meyermann, A. (2015). Hinweise zur Anonymisierung von quantitativen Daten. Forschungsdaten Bildung Informiert, Article 3. https://www.forschungsdaten-bildung.de/get_files.php?action=get_file&file=fdb-informiert-nr-3.pdf
  19. Kleinkopf, F., Jacke, J., & Gärtner, M. (2021). Urheberrechtliche Grenzen der Nachnutzung wissenschaftlicher Korpora bei computergestützten Verfahren und digitalen Ressourcen.
  20. Baumann, P. (2023). Rechte an Forschungsdaten [Trier University]. https://doi.org/10.25353/UBTR-81E9-927D-E6DD
  21. Depping, R. (2023). Rechtliche Aspekte des Forschungsdatenmanagements - Eine Einführung.
  22. 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. David, M., Colom, M., Garijo, D., Castro, L. J., Louvet, V., Ronchieri, E., Torquati, M., del Caño, L., Cerlane, L., Van den Bossche, M., Campos, I., & Di Cosmo, R. (2024). Ensure Software Quality. Zenodo. https://doi.org/10.5281/zenodo.10723608
  2. David, M., Colom, M., Garijo, D., Castro, L. J., Louvet, V., Ronchieri, E., Torquati, M., del Caño, L., Cerlane, L., Van den Bossche, M., Campos, I., & Di Cosmo, R. (2024). Ensure Software Quality. Zenodo. https://doi.org/10.5281/zenodo.10723608
  3. 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
  4. 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
  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. 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. 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.
  9. 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.
  10. Selzer, M. (2023). Kadi4Mat - Karlsruhe Data Infrastructure for Materials Science [Zenodo]. https://doi.org/10.5281/ZENODO.8424794
  11. 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.
  12. 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.
  13. 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 (pp. 267–276). heiBOOKS. https://doi.org/10.11588/HEIBOOKS.979.C13737
  14. 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
  15. 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, March). A Survey on Adoption Guidelines for the FAIR4RS Principles: Dataset [Zenodo]. https://doi.org/10.5281/zenodo.6375540
  16. 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
  17. 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
  18. Samuel, S., & Mietchen, D. (2022). Computational reproducibility of Jupyter notebooks from biomedical publications.
  19. 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., et al. (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
  20. 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
  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. 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
  23. 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
  24. Cimiano, P., Pietsch, C., & Wiljes, C. (2021). Studies in Analytical Reproducibility: the Conquaire Project (p. 8057464 bytes). https://doi.org/10.4119/UNIBI/2942780
  25. 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
  26. 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
  27. Katz, D. S., Gruenpeter, M., & Honeyman, T. (2021). Taking a fresh look at FAIR for research software. Patterns, 2, Article 3. https://doi.org/10.1016/j.patter.2021.100222
  28. 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., et al. (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
  29. 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, Article 2. https://doi.org/10.1016/j.patter.2021.100206
  30. 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, Article 2. https://doi.org/10.1016/j.patter.2021.100206
  31. van Aalst, M., Ebenhoeh, O., & Matuszynska, A. (2021). Constructing and analysing dynamic models with modelbase v1.2.3: a software update. BMC BIOINFORMATICS, 22, Article 1. https://doi.org/10.1186/s12859-021-04122-7
  32. 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, Article 1. https://doi.org/10.1109/MCSE.2019.2949413
  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., et al. (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. 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., et al. (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
  35. 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., et al. (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
  36. 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
  37. 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, Article 1. https://doi.org/10.2218/ijdc.v15i1.698
  38. 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, Article 1. https://doi.org/10.2218/ijdc.v15i1.698
  39. 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
  40. 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
  41. Hasselbring, W., Carr, L., Hettrick, S., Packer, H., & Tiropanis, T. (2020). Open Source Research Software. Computer, 53, Article 8. https://doi.org/10.1109/MC.2020.2998235
  42. 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
  43. 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, Article 5. https://doi.org/10.3390/jmse8050350
  44. 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
  45. 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, Article 1. https://doi.org/10.1007/s10270-019-00729-w
  46. SIRS, E. E. B. W. G. (. A. T. F. (. (2020). Scholarly infrastructures for research software (E. Commission, Ed.). European Commission. https://op.europa.eu/s/oMEw
  47. 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
  48. Akhmerov, A., Cruz, M., Drost, N., Hof, C., Knapen, T., Kuzak, M., Martinez-Ortiz, C., der Velden, Y. T.-v., & van Werkhoven, B. (2019). Raising the Profile of Research Software: Recommendations for Funding Agencies and Research Institutions (NWO, Ed.).
  49. Ballhausen, M. (2019). Free and Open Source Software Licenses Explained. IEEE Computer, 52, Article 6. http://dblp.uni-trier.de/db/journals/computer/computer52.html#Ballhausen19
  50. 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
  51. 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., et al. (2019). Top 10 FAIR Data & Software Things. https://doi.org/10.5281/zenodo.2555498
  52. 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
  53. 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
  54. 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
  55. Gärtner, M. (2019). RePlay-DH Client v1.3.0. https://doi.org/10.18419/darus-475
  56. 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
  57. Hermann, S., Iglezakis, D., & Seeland, A. (2019). Requirements for Finding Research Data and Software. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900480
  58. Hermann, S., Iglezakis, D., & Seeland, A. (2019). Requirements for Finding Research Data and Software. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900480
  59. Hsu, L., Hutchison, V. B., & Langseth, M. L. (2019). Measuring sustainability of seed-funded earth science informatics projects. Plos One, 14, Article 10. https://doi.org/10.1371/journal.pone.0222807
  60. Johanson, A. N., & Hasselbring, W. (2019). Software Engineering for Computational Science. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), SE/SWM: Vol. P-292 (pp. 43–44). GI. http://dblp.uni-trier.de/db/conf/se/se2019.html#JohansonH19
  61. 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
  62. 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
  63. 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, Article 1. https://doi.org/10.1016/j.joi.2019.02.007
  64. 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
  65. Siepel, A. (2019). Challenges in funding and developing genomic software: roots and remedies. Genome Biology, 20, Article 1. https://doi.org/10.1186/s13059-019-1763-7
  66. 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
  67. 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
  68. VSNU, NFU, KNAW, NWO and ZonMw. (2019). Room for everyone’s talent.
  69. 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
  70. Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit and Preservation Policy and Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
  71. Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit And Preservation Policy And Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
  72. 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
  73. Gundersen, O. E., & Kjensmo, S. (2018). State of the Art: Reproducibility in Artificial Intelligence. In S. McIlraith & K. Weinberger (Eds.), Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18). Association for the Advancement of Artificial Intelligence.
  74. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Eds.), Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings (pp. 284–291). Springer International Publishing. https://doi.org/10.1007/978-3-319-73706-5_24
  75. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Eds.), Language Technologies for the Challenges of the Digital Age (pp. 284–291). Springer International Publishing.
  76. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Eds.), Language Technologies for the Challenges of the Digital Age (pp. 284–291). Springer International Publishing.
  77. Gärtner, M., Hahn, U., & Hermann, S. (2018). Supporting Sustainable Process Documentation. In G. Rehm & T. Declerck (Eds.), Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings (pp. 284–291). Springer International Publishing. https://doi.org/10.1007/978-3-319-73706-5_24
  78. Hallé, S., Khoury, R., & Awesso, M. (2018). Streamlining the Inclusion of Computer Experiments In a Research Paper. IEEE Computer, 51, Article 11. http://dblp.uni-trier.de/db/journals/computer/computer51.html#HalleKA18
  79. 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, Article 3. https://doi.org/10.5282/O-BIB/2018H3S32-45
  80. 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, Article 3. https://doi.org/10.5282/O-BIB/2018H3S32-45
  81. 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
  82. 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
  83. Johanson, A., & Hasselbring, W. (2018). Software Engineering for Computational Science: Past, Present, Future. Computing in Science Engineering, 20, Article 2. https://doi.org/10.1109/MCSE.2018.021651343
  84. Karimzadeh, M., & Hoffman, M. M. (2018). Top considerations for creating bioinformatics software documentation. BRIEFINGS IN BIOINFORMATICS, 19, Article 4. https://doi.org/10.1093/bib/bbw134
  85. Katerbow, M., & Feulner, G. (2018). Handreichung zum Umgang mit Forschungssoftware. Zenodo. https://doi.org/10.5281/ZENODO.1172970
  86. Katerbow, M., & Feulner, G. (2018). Handreichung Zum Umgang Mit Forschungssoftware. Zenodo. https://doi.org/10.5281/zenodo.1172970
  87. Katz, D. S., & Hong, N. P. C. (2018). Software Citation in Theory and Practice. In J. H. Davenport, M. Kauers, G. Labahn, & J. Urban (Eds.), ICMS (Vol. 10931, pp. 289–296). Springer. http://dblp.uni-trier.de/db/conf/icms/icms2018.html#KatzH18
  88. 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
  89. Lee, B. D. (2018). Ten simple rules for documenting scientific software. PLOS Computational Biology, 14, Article 12. https://doi.org/10.1371/journal.pcbi.1006561
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  91. 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, Article 10. https://doi.org/10.1371/journal.pone.0205898
  92. Rüde, U., Willcox, K., McInnes, L. C., & Sterck, H. D. (2018). Research and Education in Computational Science and Engineering. SIAM Review, 60, Article 3. http://dblp.uni-trier.de/db/journals/siamrev/siamrev60.html#RudeWMS18
  93. Schlauch, T., Meinel, M., & Haupt, C. (2018). DLR Software Engineering Guidelines. https://doi.org/10.5281/zenodo.1344612
  94. 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., et al. (2017). Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). Dagstuhl Manifestos, 6, Article 1. http://dblp.uni-trier.de/db/journals/dagstuhl-manifestos/dagstuhl-manifestos6.html#AllenABCCCCCGGG17
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Befragungen

  1. Cox, A. M., Kennan, M. A., Lyon, L., & Pinfield, S. (2017). Developments in research data management in academic libraries: Towards an understanding of research data service maturity. Journal of the Association for Information Science and Technology, 68, Article 9. https://doi.org/10.1002/asi.23781
  2. Donaldson, D. R., Martin, S., & Proffen, T. (2017). Understanding Perspectives on Sharing Neutron Data at Oak Ridge National Laboratory. Data Science Journal, 16, 35. https://doi.org/10.5334/dsj-2017-035
  3. Einbock, J. (2017). Informationsbeschaffungs- und Publikationsverhalten von Wissenschaftlerinnen und Wissenschaftlern der natur- und ingenieurwissenschaftlichen Fächer.
  4. Joo, Y. K., & Kim, Y. (2017). Engineering researchers’ data reuse behaviours: a structural equation modelling approach. The Electronic Library, 35, Article 6. https://doi.org/10.1108/EL-08-2016-0163
  5. Feldsien-Sudhaus, I., & Rajski, B. (2016). Digitale Forschungsdaten für die Zukunft sichern: Umfrage zum Umgang mit Forschungsdaten an der TU Hamburg: Auswertung. https://tubdok.tub.tuhh.de/handle/11420/1329
  6. Hauck, Dr. R., Kaps, R., Krojanski, H. G., Meyer, A., Neumann, J., & Soßna, V. (2016). Der Umgang mit Forschungsdaten an der Leibniz Universität Hannover. Auswertung einer Umfrage und ergänzender Interviews 2015/16 (p. –). Leibniz Universität Hannover. https://doi.org/10.15488/265
  7. Van den Eynden, V., Knight, G., Vlad, A., Radler, B., Tenopir, C., Leon, D., Manista, F., Whitworth, J., & Corti, L. (2016). Survey of Wellcome researchers and their attitudes to open research (figshare, Ed.). https://doi.org/10.6084/m9.figshare.4055448.v1
  8. Bauer, B., Ferus, A., Gorraiz, J., Gründhammer, V., Gumpenberger, C., Maly, N., Mühlegger, J. M., Preza, J. L., Sánchez Solís, B., Schmidt, N., & Steineder, C. (2015). Forschende und ihre Daten: Ergebnisse einer österreichweiten Befragung. Report 2015 – Executive Summary und Empfehlungen.
  9. Swauger, S., & Vision, T. J. (2015). What Factors Influence Where Researchers Deposit their Data? A Survey of Researchers Submitting to Data Repositories. (No. 1). 10, Article 1. https://doi.org/10.2218/ijdc.v10i1.289
  10. Tenopir, C., Dalton, E. D., Allard, S., Frame, M., Pjesivac, I., Birch, B., Pollock, D., & Dorsett, K. (2015). Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide. Plos One, 10, Article 8. https://doi.org/10.1371/journal.pone.0134826
  11. Tristram, F., & Streit, A. (2015). Daten zu bwFDM-Communities. http://bwfdm.scc.kit.edu/cgi-bin/daten/
  12. Tristram, F., & Streit, A. (2015). Öffentlicher Abschlussbericht von bwFDM-Communities. Karlsruher Institut für Technologie.
  13. Stodden, V. (2010). The Scientific Method in Practice: Reproducibility in the Computational Sciences (M. S. R. P. No. 4773-10, Ed.; No. MIT Sloan Research Paper No. 4773-10). https://doi.org/10.2139/ssrn.1550193

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, 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, 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, Article 3. https://doi.org/10.3934/math.2016.3.261

Beschreibung von Forschungsdaten

  1. Schembera, B., & Iglezakis, D. (n.d.). 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. David, M., Colom, M., Garijo, D., Castro, L. J., Louvet, V., Ronchieri, E., Torquati, M., del Caño, L., Cerlane, L., Van den Bossche, M., Campos, I., & Di Cosmo, R. (2024). Ensure Software Quality. Zenodo. https://doi.org/10.5281/zenodo.10723608
  5. David, M., Colom, M., Garijo, D., Castro, L. J., Louvet, V., Ronchieri, E., Torquati, M., del Caño, L., Cerlane, L., Van den Bossche, M., Campos, I., & Di Cosmo, R. (2024). Ensure Software Quality. Zenodo. https://doi.org/10.5281/zenodo.10723608
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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, Article 8. https://doi.org/10.1145/3653317
  11. 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
  12. Buys, M. (2023). DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations [Zenodo]. https://doi.org/10.5281/ZENODO.7634709
  13. Buys, M. (2023). DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations [Zenodo]. https://doi.org/10.5281/ZENODO.7634709
  14. 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
  15. 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
  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. 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
  18. 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
  19. 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., et al. (2023). EnzymeML: seamless data flow and modeling of enzymatic data. Nature Methods. https://doi.org/10.1038/s41592-022-01763-1
  20. 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., et al. (2023). EnzymeML: seamless data flow and modeling of enzymatic data. Nature Methods. https://doi.org/10.1038/s41592-022-01763-1
  21. Quarati, A. (2023). Open Government Data: Usage trends and metadata quality. Journal of Information Science, 49, Article 4. https://doi.org/10.1177/01655515211027775
  22. Stathis, K., Ross, C., Dreyer, B., & Vierkant, P. (2023). DataCite Metadata Schema 4.4 to Schema.org Mapping (DataCite, Ed.). Zenodo. https://doi.org/10.5281/zenodo.7661399
  23. 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, Article 1. https://doi.org/10.1162/dint_a_00186
  24. 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, Article 1. https://doi.org/10.1162/dint_a_00186
  25. 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, Ed.). Zenodo. https://doi.org/10.5281/zenodo.5957104
  26. 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
  27. 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.
  28. 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.
  29. 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 (pp. 267–276). heiBOOKS. https://doi.org/10.11588/HEIBOOKS.979.C13737
  30. 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, Article 4. https://doi.org/10.1177/0165551520961048
  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., et al. (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
  32. 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 (Eds.), Proceedings of the CLARIN Annual Conference 2021 (pp. 109–118).
  33. 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
  34. 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, Article 2. https://doi.org/10.17192/bfdm.2021.2.8313
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