Rechtliche Fragestellungen
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- 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
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- Kreutzer, T., & Lahmann, H. (2019). Rechtsfragen bei Open Science. Hamburg University Press. https://doi.org/10.15460/HUP.195
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- 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
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- Klimpel, P. (2018). Mehr als Materialbewahrung Über die Bedeutung von Rechteinformationen und Lizenzierung in Bibliotheken. Lizenzangaben und Rechtedokumentationen im Dialog – Datenflüsse nachhaltig gestalten.
- Nationalbibliothek, D. (Hrsg.). (2018). Lizenzangaben und Rechtedokumentationen im Dialog - Datenflüsse nachhaltig gestalten.
- Hannover, L. U., & Informationsbibliothek, T. (2018). FAQs Zu Rechtlichen Aspekten Im Umgang Mit Forschungsdaten. https://doi.org/10.5281/zenodo.1173546
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Forschungssoftware
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- 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
- 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
- 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), 39–52. https://doi.org/10.1109/MCSE.2019.2949413
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- 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
- 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
- Hasselbring, W., Carr, L., Hettrick, S., Packer, H., & Tiropanis, T. (2020). Open Source Research Software. Computer, 53(8), 84–88. https://doi.org/10.1109/MC.2020.2998235
- 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, 28–38. https://doi.org/10.17192/BFDM.2020.1.8085
- 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), 350. https://doi.org/10.3390/jmse8050350
- 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
- 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), 95--110. https://doi.org/10.1007/s10270-019-00729-w
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- 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.).
- Ballhausen, M. (2019). Free and Open Source Software Licenses Explained. IEEE Computer, 52(6), 82–86. http://dblp.uni-trier.de/db/journals/computer/computer52.html#Ballhausen19
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- 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
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- 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
- 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), 449--461. https://doi.org/10.1016/j.joi.2019.02.007
- 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
- Siepel, A. (2019). Challenges in funding and developing genomic software: roots and remedies. Genome Biology, 20(1), 147--. https://doi.org/10.1186/s13059-019-1763-7
- 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
- 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
- VSNU, NFU, KNAW, NWO and ZonMw (Hrsg.). (2019). Room for everyone’s talent.
- 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
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- 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.
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- Hallé, S., Khoury, R., & Awesso, M. (2018). Streamlining the Inclusion of Computer Experiments In a Research Paper. IEEE Computer, 51(11), 78–89. http://dblp.uni-trier.de/db/journals/computer/computer51.html#HalleKA18
- 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
- Johanson, A., & Hasselbring, W. (2018). Software Engineering for Computational Science: Past, Present, Future. Computing in Science Engineering, 20(2), 90–109. https://doi.org/10.1109/MCSE.2018.021651343
- Karimzadeh, M., & Hoffman, M. M. (2018). Top considerations for creating bioinformatics software documentation. BRIEFINGS IN BIOINFORMATICS, 19(4), 693–699. https://doi.org/10.1093/bib/bbw134
- Katerbow, M., & Feulner, G. (2018). Handreichung zum Umgang mit Forschungssoftware. Zenodo. https://doi.org/10.5281/ZENODO.1172970
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- 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
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- Sakiyama, N. R. M., Frick, J., Stipetic, M., Oertel, T., & Garrecht, H. (2021). Hygrothermal performance of a new aerogel-based insulating render through weathering : Impact on building energy efficiency. Building and Environment, 202(September), 108004. https://doi.org/10.1016/j.buildenv.2021.108004
- Salamin, S., Rapp, M., Pathania, A., Maity, A., Henkel, J., Mitra, T., & Amrouch, H. (2021). Power-Efficient Heterogeneous Many-Core Design With NCFET Technology. IEEE Transactions on Computers, 70(9), 1484–1497. https://doi.org/10.1109/TC.2020.3013567
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- Schatz, K., Franco-Moreno, J. J., Schäfer, M., Rose, A. S., Ferrario, V., Pleiss, J., Vázquez, P.-P., Ertl, T., & Krone, M. (2021). Visual Analysis of Large-Scale Protein-Ligand Interaction Data. Computer Graphics Forum, 40(6), 394–408. https://doi.org/10.1111/cgf.14386
- Schott, N. (2021). Development and Initial Validation of the Geriatric Balance Self-Efficacy (GBSE) Scale : A New Scale for Nursing Home Residents. Journal of Sport & Exercise Psychology, 43(S1), S89–S90. https://doi.org/10.1123/jsep.2021-0103
- Schott, N., & Minchella, A. (2021). Role of Functional and Clinical Parameters in Predicting Aging Perception Among Older Adults. Journal of Sport & Exercise Psychology, 43(S1), S90. https://doi.org/10.1123/jsep.2021-0103
- Seewald, A., Schonherr, S., Hörtnagl, H., Ehrlich, I., Schmuckermair, C., & Ferraguti, F. (2021). Fear Memory Retrieval Is Associated With a Reduction in AMPA Receptor Density at Thalamic to Amygdala Intercalated Cell Synapses. Frontiers in Synaptic Neuroscience, 13, 634558. https://doi.org/10.3389/fnsyn.2021.634558
- Seiberth, K., & Thiel, A. (2021). Should I Stay or Should I Go? : The Impact of Social Networks on the Choice to Play for a National Team in Football. International Journal of Environmental Research and Public Health, 18(15), 7719. https://doi.org/10.3390/ijerph18157719
- Stauch, G., Fritz, P., Rokai, R., Sediqi, A., Firooz, H., Völker, H. U., Weinhara, M., Mollin, J., Soudah, B., Dalquen, P., Brinckmann, F., & Dippon, J. (2021). The Importance of Clinical Data for the Diagnosis of Breast Tumours in North Afghanistan. International Journal of Breast Cancer, 2021, 6625239. https://doi.org/10.1155/2021/6625239
- Stiesdal, N., Busche, H., Kleinbeck, K., Kumlin, J., Hansen, M. G., Büchler, H. P., & Hofferberth, S. (2021). Controlled multi-photon subtraction with cascaded Rydberg superatoms as single-photon absorbers. Nature Communications, 12(1), 4328. https://doi.org/10.1038/s41467-021-24522-w
- Suzuki, H., Liu, H., Bertinshaw, J., Ueda, K., Kim, H., Laha, S., Weber, D., Yang, Z., Wang, L., Takahashi, H., Fuersich, K., Minola, M., Lotsch, B. V., Kim, B. J., Yavas, H., Daghofer, M., Chaloupka, J., Khaliullin, G., Gretarsson, H., & Keimer, B. (2021). Proximate ferromagnetic state in the Kitaev model material α-RuCl3. Nature Communications, 12(1), 4512. https://doi.org/10.1038/s41467-021-24722-4
- Tahouni, Y., Krüger, F., Poppinga, S., Wood, D. M., Pfaff, M., Rühe, J., Speck, T., & Menges, A. (2021). Programming sequential motion steps in 4D-printed hygromorphs by architected mesostructure and differential hygro-responsiveness. Bioinspiration & Biomimetics, 16(5), 055002. https://doi.org/10.1088/1748-3190/ac0c8e
- Thomann, S., Li, C., Zhuo, C., Prakash, O., Yin, X., Hu, X. S., & Amrouch, H. (2021). On the Reliability of In-Memory Computing : Impact of Temperature on Ferroelectric TCAM. In A. Basio & K. Basu (Hrsg.), 2021 IEEE 39th VLSI Test Symposium (VTS). IEEE. https://doi.org/10.1109/VTS50974.2021.9441038
- Trieflinger, S., Münch, J., Wagner, S., Lang, D., & Roling, B. (2021). A Transformation Model for Excelling in Product Roadmapping in Dynamic and Uncertain Market Environments. In L. Ardito, A. Jedlitschka, M. Morisio, & M. Torchiano (Hrsg.), Product-Focused Software Process Improvement (S. 136--151). Springer International Publishing.
- Trübe, K., Bühlmeyer, A., Schulz, F., Grunwald, M. A., Zens, A., Baro, A., & Laschat, S. (2021). Hockey-stick indoles : turning a calamitic neutral mesogen into an ionic liquid crystal. Liquid Crystals, 48(13), 1919–1926. https://doi.org/10.1080/02678292.2021.1951382
- Vorobyov, V., Zaiser, S., Abt, N., Meinel, J., Dasari, D., Neumann, P., & Wrachtrup, J. (2021). Quantum Fourier transform for nanoscale quantum sensing. Npj Quantum Information, 7, 124. https://doi.org/10.1038/s41534-021-00463-6
- Wei, M.-L., Amrouch, H., Sung, C.-L., Lue, H.-T., Yang, C.-L., Wang, K.-C., & Lu, C.-Y. (2021). Robust Brain-Inspired Computing : On the Reliability of Spiking Neural Network Using Emerging Non-Volatile Synapses. 2021 IEEE International Reliability Physics Symposium (IRPS). 2021 IEEE International Reliability Physics Symposium (IRPS), Online. https://doi.org/10.1109/IRPS46558.2021.9405141
- Weirich, S., Khella, M. S., & Jeltsch, A. (2021). Structure, Activity and Function of the Suv39h1 and Suv39h2 Protein Lysine Methyltransferases. Life, 11(7), 703. https://doi.org/10.3390/life11070703
- Wiranata Wijaya, A., Verhagen, N., Teleki, A., & Takors, R. (2021). Compartment-specific 13C metabolic flux analysis reveals boosted NADPH availability coinciding with increased cell-specific productivity for IgG1 producing CHO cells after MTA treatment. Engineering in Life Sciences, 21(12), 832–847. https://doi.org/10.1002/elsc.202100057
- Yu, J., Wagner, S., Wang, B., & Luo, F. (2021). A Systematic Mapping Study on Security Countermeasures of In-Vehicle Communication Systems. SAE International Journal on Transportation Cybersecurity & Privacy, 4(2), 97--116. https://doi.org/10.4271/11-04-02-0005
- Yu, J., Wagner, S., & Luo, F. (2021). Automatic Generation of Security Requirements for Cyber-Physical Systems. In S. Paiva, S. I. Lopes, R. Zitouni, N. Gupta, S. F. Lopes, & T. Yonezawa (Hrsg.), Science and Technologies for Smart Cities (S. 372--385). Springer International Publishing.
- Zepp, A., Gladysz, S., Stein, K., & Osten, W. (2021). Optimization of the holographic wavefront sensor for open-loop adaptive optics under realistic turbulence : Part I: simulations. Applied Optics, 60(22), F88–F89. https://doi.org/10.1364/AO.425397
- Zervakis, G., Saadat, H., Amrouch, H., Gerstlauer, A., Parameswaran, S., & Henkel, J. (2021). Approximate Computing for ML : State-of-the-art, Challenges and Visions. ASPDAC ’21 : Proceedings of the 26th Asia and South Pacific Design Automation Conference, 189–196. https://doi.org/10.1145/3394885.3431632
- Zhu, R., Fogelholm, M., Larsen, T. M., Poppitt, S. D., Silvestre, M. P., Vestentoft, P. S., Jalo, E., Navas-Carretero, S., Huttunen-Lenz, M., Taylor, M. A., Stratton, G., Swindell, N., Kaartinen, N. E., Lam, T., Handjieva-Darlenska, T., Handjiev, S., Schlicht, W., Martinez, J. A., Seimon, R. V., … Raben, A. (2021). Corrigendum: A High-Protein, Low Glycemic Index Diet Suppresses Hunger but Not Weight Regain After Weight Loss : Results From a Large, 3-Years Randomized Trial (PREVIEW). Frontiers in Nutrition, 8, 736531. https://doi.org/10.3389/fnut.2021.736531
- Ziegler, M., Hägele, L., Gäbele, T., & Takors, R. (2021). CRISPRi enables fast growth followed by stable aerobic pyruvate formation in Escherichia coli without auxotrophy. Engineering in Life Sciences, 22(2), 70–84. https://doi.org/10.1002/elsc.202100021
- Björnmalm, M., Cappelluti, F., Dunning, A., Gheorghe, D., Goraczek, M. Z., Hausen, D., Hermann, S., Kraft, A., Lavanchy, P. M., Prisecaru, T., Sánchez, B., & Strötgen, R. (2020). Advancing Research Data Management in Universities of Science and Technology. In CESAER (Hrsg.), Whitepaper. Zenodo. https://doi.org/10.5281/zenodo.3665372
- Cutura, R., Kralj, C., & Sedlmair, M. (2020). DRUIDJS : A JavaScript Library for Dimensionality Reduction. 2020 IEEE Visualization Conference (VIS), 111–115. https://doi.org/10.1109/VIS47514.2020.00029
- Islam, A., Bezerianos, A., Lee, B., Blascheck, T., & Isenberg, P. (2020). Visualizing Information on Watch Faces : A Survey with Smartwatch Users. 2020 IEEE Visualization Conference (VIS), 156–160. https://doi.org/10.1109/VIS47514.2020.00038
- Kempter, F., Bechler, F., & Fehr, J. (2020). Calibration Approach for Muscle Activated Human Models in Pre-Crash Maneuvers with a Driver-in-the-Loop Simulator. In L. Hanson, D. Hogberg, & E. Brolin (Hrsg.), DHM2020 : Proceedings of the 6th International Digital Human Modeling Symposium (Nr. 11; Nummer 11, S. 227–236). IOS Press. https://doi.org/10.3233/ATDE200029
- Lehmann, D., Kinder, J., & Pradel, M. (2020). Everything Old is New Again : Binary Security of WebAssembly. Proceedings of the 29th USENIX Security Symposium, 217–234. https://www.usenix.org/conference/usenixsecurity20/presentation/lehmann
- Mu\ noz Barón, M., Wyrich, M., & Wagner, S. (2020). An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability. Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). https://doi.org/10.1145/3382494.3410636
- Polian, I., Anders, J., Becker, S., Bernardi, P., Chakrabarty, K., Elhamawy, N., Sauer, M., Singh, A., Sonza Reorda, M., & Wagner, S. (2020). Exploring the Mysteries of System-Level Test. 2020 IEEE 29th Asian Test Symposium (ATS), 1–6. https://doi.org/10.1109/ATS49688.2020.9301557
- Rapp, M., Elfatairy, O., Wolf, M., Henkel, J., & Amrouch, H. (2020). Towards NN-based Online Estimation of the Full-Chip Temperature and the Rate of Temperature Change. MLCAD ’20 : Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 95–100. https://doi.org/10.1145/3380446.3430648
- Wachsmuth, M., Koppert, A., Zhang, L., & Schwieger, V. (2020). Development of an error-state Kalman Filter for Emergency Maneuvering of Trucks. In G. Lange (Hrsg.), 2020 European Navigation Conference (ENC). IEEE. https://doi.org/10.23919/ENC48637.2020.9317306
- Elsner, C., Rosenke, N., Weber, M., Hoppe, C., Drößler, S., & Hermann, S. (2019). Von Bottom up zu Top down. Umfrage: Forschende der Ingenieurwissenschaften erwarten klare Rahmenbedingungen von den Hochschulleitungen bei Open Access und Open Educational Resources. o-bib. Das offene Bibliotheksjournal, 6(2), 80–91. https://doi.org/10.5282/o-bib/2019H2S80-91
Best Practices
- 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
- Kümmet, S., Lücke, S., Schulz, J., Spenger, M., & Weber, T. (2019). DataCite Best Practice Guide. Zenodo. https://doi.org/10.5281/zenodo.3559799
- 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
- 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), 77--92. https://doi.org/10.1007/s00799-016-0178-2
- 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), 261--281. https://doi.org/10.3934/math.2016.3.261
Beschreibung von Forschungsdaten
- 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.
- 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
- 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
- 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).
- 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
- 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, 124–135. https://doi.org/10.17192/bfdm.2021.2.8313
- 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
- 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
- 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, 28–38. https://doi.org/10.17192/bfdm.2020.1.8085
- Hub, T. C. I. (Hrsg.). (2020). A survey of Top-Level Ontologies.
- 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
- Kesper, A., Wenz, V., & Taentzer, G. (2020). Detecting Quality Problems in Research Data: A Model-Driven Approach. http://arxiv.org/abs/2007.11298
- Schembera, B., & Iglezakis, D. (2020). EngMeta - Metadata for Computational Engineering. International Journal of Metadata, Semantics and Ontologies, 14(1), 26–38. https://doi.org/10.1504/IJMSO.2020.107792
- 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
- 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
- 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), 1313--1329. https://doi.org/10.1021/acs.jced.9b00739
- Iglezakis, D., & Schembera, B. (2019). EngMeta - a Metadata Scheme for the Engineering Sciences. DaRUS. https://doi.org/10.18419/darus-500
- 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
- Kümmet, S., Lücke, S., Schulz, J., Spenger, M., & Weber, T. (2019). DataCite Best Practice Guide. Zenodo. https://doi.org/10.5281/zenodo.3559799
- 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 (Nr. 846; Nummer 846, S. 127–132). Springer International Publishing. https://doi.org/10.1007/978-3-030-14401-2_12
- 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 (Nr. 846; Nummer 846, S. 127–132). Springer International Publishing. https://doi.org/10.1007/978-3-030-14401-2_12
- 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
- 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/
- 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), 1–8. http://dblp.uni-trier.de/db/journals/ijmso/ijmso13.html#BalatsoukasRG18
- Brown, C., Hong, N. C., & Jackson, M. (2018). Software Deposit And Preservation Policy And Planning Workshop Report. https://doi.org/10.5281/zenodo.1250310
- 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
- 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).
- 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).
- 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
- 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.
- 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
- 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
- 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), 644–666. https://doi.org/10.1080/01639374.2017.1358786
- 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
- 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.
- 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), 2.
- 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.
- 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
- Schreiber, A. (2016). Standardisierung eines erweiterbaren Modells für Provenance-Daten (PROV-SPEC) (Nr. 2016–04). 2016–04, Article 2016–04.
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