Publications

Frank Tristram, and Achim Streit. Öffentlicher Abschlussbericht von bwFDM-Communities. 2015. [PUMA: forschungsdaten motivation obib befragung]

Michael Schappals, Andreas Mecklenfeld, Leif Kröger, Vitalie Botan, Andreas Köster, Simon Stephan, Edder J. García, Gabor Rutkai, Gabriele Raabe, Peter Klein, Kai Leonhard, Colin W. Glass, Johannes Lenhard, Jadran Vrabec, and Hans Hasse. Round Robin Study: Molecular Simulation of Thermodynamic Properties from Models with Internal Degrees of Freedom. Journal of Chemical Theory and Computation, (13)9:4270-4280, 2017. [PUMA: forschungsdaten motivation reproducibility chemistry simulations thermodynamics] URL

Niklas K. Hartmann, Boris Jacob, and Nadin Weiß. RISE-DE – Referenzmodell für Strategieprozesse im institutionellen Forschungsdatenmanagement. Zenodo, 2019. [PUMA: forschungsdaten strategie evaluation] URL

Johan Rung, and Alvis Brazma. Reuse of public genome-wide gene expression data. Nature Reviews Genetics, (14)2:89--99, 2013. [PUMA: genome forschungsdaten reuse] URL

Y. J. Kim, and J. M. Patel. Rethinking choices for multi-dimensional point indexing: making the case for the often ignored quadtree. 2007. [PUMA: imported]

Christine L. Borgman. Research Data: Who will share what, with whom, when, and why?. 2010. [PUMA: forschungsdaten]

Tanja Wissik, and Matej Ďurčo. Research Data Workflows: From Research Data Lifecycle Models to Institutional Solutions. Selected Papers from the CLARIN Annual Conference 2015, October 14–16, 2015, Wroclaw, Poland, 123:94-107, Linköping University Electronic Press, Linköpings universitet, 2015. [PUMA: imported forschungsdaten workflow]

Joss Winn. Research Data Management using CKAN: A Datastore, Data Repository and Data Catalogue.. IASSIST Conference, IASSIST, 2013. [PUMA: forschungsdaten software repository] URL

Sibylle Hermann, Dorothea Iglezakis, and Anett Seeland. Requirements for Finding Research Data and Software. PAMM, 2019. [PUMA: myown forschungsdaten] URL

Alexander Michael Petersen, Santo Fortunato, Raj K. Pan, Kimmo Kaski, Orion Penner, Armando Rungi, Massimo Riccaboni, H. Eugene Stanley, and Fabio Pammolli. Reputation and impact in academic careers. Proceedings of the National Academy of Sciences, (111)43:15316-15321, 2014. [PUMA: forschungsdaten motivation credit] URL

Roger D. Peng. Reproducible Research in Computational Science. Science, (334)6060:1226-1227, December 2011. [PUMA: reproducibility research]

Victoria Stodden, Randall J. LeVeque, and Ian Mitchell. Reproducible Research for Scientific Computing: Tools and Strategies for Changing the Culture.. Computing in Science Engineering, (14)4:13-17, July 2012. [PUMA: software reproducibility softwareLizenzMotivation] URL

Susan Reilly, Wouter Schallier, Sabine Schrimpf, Eefke Smit, and Max Wilkinson. Report on integration of data and publications. 2011. [PUMA: forschungsdaten obib]

DFG. Replizierbarkeit von Forschungsergebnissen Eine Stellungnahme der Deutschen Forschungsgemeinschaft. April 2017. [PUMA: forschungsdaten dfg reproducibility stellungnahme] URL

Dorothea Iglezakis. Replication Data for: EngMeta - Metadata für Computational Engineering. 2020. [PUMA: darus unbearbeitet] URL

Christian Collberg, Todd Proebsting, and Alex M. Warren. Repeatability and Benefaction in Computer Systems Research. 2015. [PUMA: software reproducibility softwareLizenzMotivation] URL

Dorothea Iglezakis. Relevance of Different Metadata Fields for the Description of Research Data from the Engineering Sciences. In DaRUS (Eds.), 2019. [PUMA: myown forschungsdaten metadata project_dipling] URL

Till Kreutzer, and Henning Lahmann. Rechtsfragen bei Open Science. Hamburg University Press, July 2019. [PUMA: openScience forschungsdaten rechtlicheFragestellungen] URL

Daniel Stietenroth, Jens Nieschulze, and Katrin Arend. Rechtliche Aspekte und Umsetzung des Datenmanagement in internationalen interdisziplinären Forschungsprojekten. Zeitschrift Für Agrarinformatik, (3):64-75, 2005. [PUMA: forschungsdaten rechtlicheFragestellungen sfb] URL

Ralf Depping. Rechtliche Aspekte des Forschungsdatenmanagements - Eine Einführung. 2023. [PUMA: forschungsdaten rechtlicheFragestellungen]

Paul Baumann. Rechte an Forschungsdaten. Trier University, 2023. [PUMA: forschungsdaten urheberrecht rechtlicheFragestellungen gwp] URL

Dorothea Iglezakis. Reanalysis of FDM-Communities Data for Engineering. DaRUS, 2019. [PUMA: myown forschungsdaten motivation project_dipling engineering] URL

Thomas Bein, Leni Helmes, Bernhard Neumair, Uwe Rosemann, and Ludger Wessjohann. RADAR Abschlussbericht. October 2016. [PUMA: forschungsdaten repository] URL

TU Delft Data Stewards, EPFL Library Research Data Team, Jan Krause, Nathalie Lambeng, Heather Andrews, Jasmin Boehmer, Maria Cruz, Jasper van Dijck, Kees den Heijter, Munire van der Kruyk, and Marta Teperek. Quantitative assessment of research data management practice. February 2018. [PUMA: daten forschungsdaten motivation survey] URL

Javier Nogueras-Iso, Javier Lacasta, Manuel Antonio Ureña-Cámara, and Francisco Javier Ariza-López. Quality of Metadata in Open Data Portals. IEEE Access, (9):60364-60382, 2021. [PUMA: opendata metadata quality]

Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann, and Sören Auer. Quality assessment for linked data: A survey. Semantic Web, (7)1:63--93, IOS Press, 2016. [PUMA: metadata linkedData quality]

Peter Christen, and Karl Goiser. Quality and complexity measures for data linkage and deduplication. in Quality Measures in Data Mining, ser. Studies in Computational Intelligence, 127--151, Springer, 2007. [PUMA: forschungsdaten quality] URL

Christophe Pradal, Gaël Varoquaux, and Hans Petter Langtangen. Publishing scientific software matters.. J. Comput. Science, (4)5:311 - 312, Elsevier, 2013. [PUMA: forschungsdaten software] URL

Nick Barnes. Publish your computer code: it is good enough. Nature, (467)7317:753, 2010. [PUMA: software softwareLizenzMotivation litQSaFE] URL

Juan A. Sillero, and Javier Jiminéz. Public Dissemination of Raw Turbulence Data. In Andrew Pollard, Luciano Castillo, Luminita Danaila, and Mark Glauser (Eds.), Whither turbulence and big data in the 21st century?, 509-515, Springer, Switzerland, 2017. [PUMA: bigdata forschungsdaten reuse dissemination simulation obib engineering iag]

Lucas Augusto Montalvão Costa Carvalho, Rodrigo L. Silveira, Caroline S. Pereira, Munir S. Skaf, and Claudia Bauzer Medeiros. Provenance-Based Retrieval: Fostering Reuse and Reproducibility Across Scientific Disciplines. In Marta Mattoso, and Boris Glavic (Eds.), Provenance and Annotation of Data and Processes, 183--186, Springer International Publishing, Cham, 2016. [PUMA: forschungsdaten provenance reproducibility workflows]

Peter Macko, and Margo Seltzer. Provenance map orbiter: Interactive exploration of large provenance graphs.. TaPP, 2011. [PUMA: provenance metadata visualization tools]

Khaled Bachour, Richard Wetzel, Martin Flintham, Trung Dong Huynh, Tom Rodden, and Luc Moreau. Provenance for the People: An HCI Perspective on the W3C PROV Standard Through an Online Game. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2437--2446, ACM, New York, NY, USA, 2015. [PUMA: game provenance visualization human-computer-interaction] URL

Susan B. Davidson, and Juliana Freire. Provenance and Scientific Workflows: Challenges and Opportunities. Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, 1345--1350, ACM, New York, NY, USA, 2008. [PUMA: provenance metadata scientific workflows] URL

Timothy Lebo, Satya Sahoo, Deborah McGuinness, Khalid Belhajjame, James Cheney, David Corsar, Daniel Garijo, Stian Soiland-Reyes, Stephan Zednik, and Jun Zhao. PROV-O: The PROV Ontology. 2013. [PUMA: forschungsdaten provenance metadata] URL

Satya Sahoo, Timothy Lebo, and Deborah McGuinness. PROV-O: The PROV Ontology. April 2013. [PUMA: forschungsdaten metadata]

Troy Kohwalter, Thiago Oliveira, Juliana Freire, Esteban Clua, and Leonardo Murta. Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data. In Marta Mattoso, and Boris Glavic (Eds.), Provenance and Annotation of Data and Processes, 71--82, Springer International Publishing, Cham, 2016. [PUMA: forschungsdaten provenance metadata visualization]

Khalid Belhajjame, Helena Deus, Daniel Garijo, Graham Klyne, Paolo Missier, Stian Soiland-Reyes, and Stephan Zednik. PROV Model Primer. In Yolanda Gil, and Simon Miles (Eds.), 2013. [PUMA: provenance metadata PROV] URL

Patrick C.F. Buchholz, Rüdiger Ohs, Antje C. Spieß, and Jürgen Pleiss. Progress curve analysis within BioCatNet: comparing kinetic models for enzyme-catalyzed self-ligation. Biotechnology Journal, (14):e1800183, 2019. [PUMA: dfgSimScience]

Bhume Bhumiratana, and Matt Bishop. Privacy Aware Data Sharing: Balancing the Usability and Privacy of Datasets. Proceedings of the 2Nd International Conference on PErvasive Technologies Related to Assistive Environments, 73:1--73:8, ACM, New York, NY, USA, 2009. [PUMA: forschungsdaten datenschutz usability quality] URL

Markus Gärtner, Uli Hahn, and Sibylle Hermann. Preserving Workflow Reproducibility: The RePlay-DH Client as a Tool for Process Documentation. In Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, and Takenobu Tokunaga (Eds.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 563--570, European Language Resources Association (ELRA), Paris, France, May 2018. [PUMA: forschungsdaten provenance metadata tools]

Markus Gärtner, Uli Hahn, and Sibylle Hermann. Preserving Workflow Reproducibility: The RePlay-DH Client as a Tool for Process Documentation. In Nicoletta Calzolari (Conference chair), Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, and Takenobu Tokunaga (Eds.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), European Language Resources Association (ELRA), Miyazaki, Japan, May 2018. [PUMA: forschungsdaten metadata tools]

Science Europe. Practical Guide to the International Alignment of Research Data Management. November 2018. [PUMA: forschungsdaten europa dmp guide repository] URL

Carlos Martinez-Ortiz, Paula Martinez Lavanchy, Laurents Sesink, Brett G. Olivier, James Meakin, Maaike de Jong, and Maria Cruz. Practical guide to Software Management Plans. Zenodo, October 2022. [PUMA: forschungsdaten datenmänagementplan software dmp] URL

Bernd Bayerlein, Markus Schilling, Henk Birkholz, Matthias Jung, Jörg Waitelonis, Lutz Mädler, and Harald Sack. PMD Core Ontology: Achieving semantic interoperability in materials science. Materials & Design, (237):112603, 2024. [PUMA: forschungsdaten metadata interoperability materialScience ontology] URL

A. Szalay, and J. Gray. Petabyte scale data mining: dream or reality. 2002. [PUMA: imported]

Michael Diepenbroek, Hannes Grobe, Manfred Reinke, Uwe Schindler, Reiner Schlitzer, Rainer Sieger, and Gerold Wefer. PANGAEA - an information system for environmental sciences. Computers & Geosciences, (28)10:1201--1210, Elsevier BV, December 2002. [PUMA: forschungsdaten litPHBFD repository] URL

Colleen Fallaw, Elise Dunham, Elizabeth Wickes, Dena Strong, Ayla Stein, Qian Zhang, Kyle R. Rimkus, William Ingram, and Heidi J. Imker. Overly honest data repository development. In Code4Lib (Eds.), The Code4Lib Journal, (34)October 2016. [PUMA: forschungsdaten development repository] URL

C Jung, M Gasthuber, A Giesler, M Hardt, J Meyer, F Rigoll, K Schwarz, R Stotzka, and A Streit. Optimization of data life cycles. Journal of Physics: Conference Series, (513)3:032047, 2014. [PUMA: bigdata forschungsdaten] URL

Devin R. Berg. OpenResearch, OpenEngineering, and the Role of the University in Society. 2017. [PUMA: openaccess engineering preprints engrxiv] URL

Deutsche Forschungsgemeinschaft. Open Science als Teil der Wissenschaftskultur. Positionierung der Deutschen Forschungsgemeinschaft. Zenodo, 2022. [PUMA: openScience forschungsdaten dfg positionspapier politik] URL

ERC Scientific Council. Open Research Data and Data Management Plans. In European Commission (Eds.), August 2021. [PUMA: forschungsdaten europa dmp horizoneurope policy] URL

Alfonso Quarati. Open Government Data: Usage trends and metadata quality. Journal of Information Science, (49)4:887-910, 2023. [PUMA: forschungsdaten metadata governmentalData usage openData quality] URL

Evgeny Bobrov. Open Data operationalisieren - Erfahrungen mit der Formulierung überprüfbarer Kriterien. Zenodo, 2022. [PUMA: forschungsdaten opendata metrics] URL

Open Access in Deutschland. In Bundesministerium für Bildung und Forschung (BMBF) (Eds.), September 2016. [PUMA: bmbf forschungsdaten forschungsförderer openaccess] URL

Alexander S. Behr, Marc Völkenrath, and Norbert Kockmann. Ontology Extension with NLP-based Concept Extraction for Domain Experts in Catalytic Sciences. Research Square Platform LLC, January 2023. [PUMA: forschungsdaten metadata ontologie machinelearning] URL

Yann Le Franc. OntoCommons D3.2 - Report on existing domain ontologies in. Zenodo, 2022. [PUMA: metadata ontologie materialwissenschaften] URL

Peter Brettschneider, Alexandra Axtmann, Elisabeth Böker, and Dirk von Suchodoletz. Offene Lizenzen für Forschungsdaten - Rechtliche Bewertung und Praxistauglichkeit verbreiteter Lizenzmodelle. In Herausgeber VDB (Eds.), O-Bib. Das Offene Bibliotheksjournal, (8)3:1-22, 2021. [PUMA: openScience forschungsdaten rechtlicheFragestellungen lizenz]

Jochen Apel, Fabian Gebhart, Leonhard Maylein, and Martin Wlotzka. Offene Forschungsdaten an der Universität Heidelberg: von generischen institutionellen Repositorien zu fach- und projektspezifischen Diensten. O-Bib. Das Offene Bibliotheksjournal / Herausgeber VDB, (5)2:61-71, 2018. [PUMA: forschungsdaten repository] URL

Julia Sprenger, Lyuba Zehl, Jana Pick, Michael Sonntag, Jan Grewe, Thomas Wachtler, Sonja Grün, and Michael Denker. odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Ludwig-Maximilians-Universität München, 2019. [PUMA: forschungsdaten metadata neurowissenschaften tools] URL

Stan Ahalt, Tom Carsey, Alva Couch, Rick Hooper, Luis Ibanez, Ray Idaszak, Matthew B. Jones, Jennifer Lin, and Erin Robinson. NSF Workshop on Supporting Scientific Discovery Through Norms and Practices for Software and Data Citation and Attribution. National Science Foundation, USA, 2015. [PUMA: forschungsdaten citation software]

Leonardo Murta, Vanessa Braganholo, Fernando Chirigati, David Koop, and Juliana Freire. noWorkflow: Capturing and Analyzing Provenance of Scripts. In Bertram Ludäscher, and Beth Plale (Eds.), Provenance and Annotation of Data and Processes, 71--83, Springer International Publishing, Cham, 2015. [PUMA: provenance metadata tools]

Dorothea Iglezakis. Noch noch Neuerer Testtitel für PUMA Workflow. 2020. [PUMA: darus unbearbeitet]

Kesheng Wu, Elizabeth N. Coviello, S. M. Flanagan, Martin Greenwald, Xia Lee, Alex Romosan, David P. Schissel, Arie Shoshani, Josh Stillerman, and John Wright. MPO: A System to Document and Analyze Distributed Heterogeneous Workflows. In Marta Mattoso, and Boris Glavic (Eds.), Provenance and Annotation of Data and Processes, 166--170, Springer International Publishing, Cham, 2016. [PUMA: forschungsdaten provenance metadata workflow tools]

Benedikt Heinrichs, and Marius Politze. Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods.. KDIR, 227--234, 2020. [PUMA: forschungsdaten metadata harvesting similarity tools]

Susanne Arndt, Benjamin Farnbacher, Marc Fuhrmans, Stephan Hachinger, Johanna Hickmann, Nils Hoppe, Martin Thomas Horsch, Dorothea Iglezakis, Ashish Karmacharya, Giacomo Lanza, Sophia Leimer, Johannes Munke, Džulia Terzijska, Johannes Theissen-Lipp, Cord Wiljes, and Jürgen Windeck. Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.. In Zenodo (Eds.), Zenodo, February 2022. [PUMA: myown forschungsdaten metadata ontologie engineering] URL

Miguel-Angel Sicilia. Metadata Research: Making Digital Resources Useful Again?. In Miguel-Angel Sicilia (Eds.), (Handbook of Metadata, Semantics and Ontologies):1-8, World Scientific Publishing, Singapore, 2014. [PUMA: metadata microdata linkedData]

Diane I. Hillmann. Metadata Quality: From Evaluation to Augmentation. Cataloging & Classification Quarterly, (46)1:65-80, Routledge, 2008. [PUMA: forschungsdaten metadata evaluation quality] URL

Jung-Ran Park. Metadata Quality in Digital Repositories: A Survey of the Current State of the Art. Cataloging & Classification Quarterly, (47)3-4:213-228, Routledge, 2009. [PUMA: imported forschungsdaten metadata survey quality repository] URL

Jung-Ran Park, and Yuji Tosaka. Metadata Quality Control in Digital Repositories and Collections: Criteria, Semantics, and Mechanisms. Cataloging & Classification Quarterly, (48)8:696-715, Routledge, 2010. [PUMA: forschungsdaten metadata survey quality repository] URL

Richard Grunzke, Jens Krüger, René Jäkel, Wolfgang E. Nagel, Sonja Herres-Pawlis, and Alexander Hoffmann. Metadata Management in the MoSGrid Science Gateway - Evaluation and the Expansion of Quantum Chemistry Support. Journal of Grid Computing, (15)1:41--53, Mar 1, 2017. [PUMA: metadata md engineering] URL

Sharon Farnel, and Ali Shiri. Metadata for Research Data: Current Practices and Trends.. In William E. Moen, and Amy Rushing (Eds.), Dublin Core Conference, 74-82, Dublin Core Metadata Initiative, 2014. [PUMA: forschungsdaten metadata] URL

Dimitris Rousidis, Emmanouel Garoufallou, Panos Balatsoukas, and Miguel-Ángel Sicilia. Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories.. Inf. Services and Use, (34)3-4:279-286, 2014. [PUMA: forschungsdaten metadata quality] URL

H. D. Tran, J. Holt, R. W. Goodrich, J. A. Mader, M. Swain, A. C. Laity, M. Kong, C. R. Gelino, and G. B. Berriman. Metadata and Data Management for the Keck Observatory Archive. 2014. [PUMA: forschungsdaten metadata dataManagement] URL

Paul Klimpel. Mehr als Materialbewahrung Über die Bedeutung von Rechteinformationen und Lizenzierung in Bibliotheken. Lizenzangaben und Rechtedokumentationen im Dialog – Datenflüsse nachhaltig gestalten, 2018. [PUMA: forschungsdaten rechtlicheFragestellungen openaccess licensing]

Robert T. McGibbon, Kyle A. Beauchamp, Matthew P. Harrigan, Christoph Klein, Jason M. Swails, Carlos X. Hernández, Christian R. Schwantes, Lee-Ping Wang, Thomas J. Lane, and Vijay S. Pande. MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories. Biophysical Journal, (109)8:1528 -- 1532, 2015. [PUMA: forschungsdaten software molecularSimulation]

Trevor M. Cickovski, Chris Sweet, and Jesús A. Izaguirre. MDL, A Domain-Specific Language for Molecular Dynamics.. Annual Simulation Symposium, 256-266, IEEE Computer Society, 2007. [PUMA: metadata xml engineering] URL

N. Michaud-Agrawal, E. Denning, T. Woolf, and O. Beckstein. MDAnalysis: A Toolkit for the Analysis of Molecular Dynamics Simulations. J Comput Chem, (32)2011. [PUMA: imported molecularSimulation] URL

Tiffany Chao. Mapping Methods Metadata for Research Data. International Journal of Digital Curation, (10)12015. [PUMA: forschungsdaten metadata harvesting soilScience methoden automated] URL

Björn Selent, Hamzeh Kraus, Niels Hansen, Björn Schembera, Anett Seeland, and Dorothea Iglezakis. Management of Research Data in Computational Fluid Dynamics and Thermodynamics. In Vincent Heuveline, Fabian Gebhart, and Nina Mohammadianbisheh (Eds.), E-Science-Tage 2019: Data to Knowledge, 128-139, HeiBOOKS, Heidelberg, 2020. [PUMA: myown forschungsdaten metadata aerodynamics project_dipling thermodynamics engineering repository]

Heinz Pampel, Paul Vierkant, Frank Scholze, Roland Bertelmann, Maxi Kindling, Jens Klump, Hans-Jürgen Goebelbecker, Jens Gundlach, Peter Schirmbacher, and Uwe Dierolf. Making Research Data Repositories Visible: The re3data.org Registry. PLOS ONE, (8)11:1-10, Public Library of Science, November 2013. [PUMA: forschungsdaten repository] URL

Maarten Mennes, Bharat B. Biswal, F. Xavier Castellanos, and Michael P. Milham. Making data sharing work: The FCP/INDI experience. NeuroImage, (82):683 - 691, 2013. [PUMA: forschungsdaten beispiel motivation neurowissenschaften] URL

Brooks Hanson, Andrew Sugden, and Bruce Alberts. Making Data Maximally Available. Science, (331)6018:649, February 2011. [PUMA: science forschungsdaten software journals] URL

Sergey Fomel, Paul Sava, Ioan Vlad, Yang Liu, and Vladimir Bashkardin. Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments. Journal of Open Research Software, (1)12013. [PUMA: forschungsdaten software reproducibility] URL

Kerstin Helbig, Katarzyna Biernacka, Petra Buchholz, Dominika Dolzycka, Niklas Hartmann, Thomas Hartmann, Bea Hiemenz, Boris Jacob, Monika Kuberek, Nadin Weiß, and Malte Dreyer. Lösungen und Leitfäden für das institutionelle Forschungsdatenmanagement. In VDB (Eds.), O-Bib. Das Offene Bibliotheksjournal, (6)3:21-39, 2019. [PUMA: forschungsdaten project] URL

Scott Carlson. Lost in a sea of science data. The Chronicle of Higher Education, (52)42:A35, 2006. [PUMA: forschungsdaten]

Lizenzangaben und Rechtedokumentationen im Dialog - Datenflüsse nachhaltig gestalten. In Deutsche Nationalbibliothek (Eds.), 2018. [PUMA: forschungsdaten rechtlicheFragestellungen licensing]

Björn Schembera. Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data. In Hamid Arabnia (Eds.), The Journal of Supercomputing, 2021. [PUMA: forschungsdaten hpc-computing metadata tools automated] URL

P. Peças, U. Götze, E. Henriques, I. Ribeiro, A. Schmidt, and C. Symmank. Life Cycle Engineering – Taxonomy and State-of-the-Art. Procedia CIRP, (48):73 - 78, 2016. [PUMA: engineering taxonomy lifeCycleEngineering] URL

Kerry Anne McGeary, B. D. McCullough, and Teresa Harrison. Lessons from the JMCB archive. Journal of money credit and banking, (38)4:1093-1107, February 2006. [PUMA: forschungsdaten software reproducibility softwareLizenzMotivation] URL

Leitlinien zum Umgang mit Forschungsdaten. In Deutsche Forschungsgemeinschaft (DFG) (Eds.), 2015. [PUMA: forschungsdaten dfg leitlininen obib]

Uwe Jensen. Leitlinien zum Management von Forschungsdaten. 2012. [PUMA: forschungsdaten leitlinien survey sozialwissenschaften]

Katarzyna Biernacka. LEGO® Metadaten für die Reproduzierbarkeit. Zenodo, 2020. [PUMA: forschungsdaten metadata schulung spiel] URL

Eleanor Mattern, Aaron Brenner, and Liz Lyon. Learning by Teaching about RDM: An Active Learning Model for Internal Library Education.. IJDC, (11)2:27-38, 2016. [PUMA: schulung fdm] URL

Michalis Mountantonakis, and Yannis Tzitzikas. Large-scale Semantic Integration of Linked Data: A Survey. ACM Comput. Surv., (52)5Association for Computing Machinery, New York, NY, USA, September 2019. [PUMA: metadata linkedData semanticWeb integration] URL

M. Feig, M. Abdullah, L. Johnsson, and B. M. Pettitt. Large scale distributed data repository: design of a molecular dynamics trajectory database. Future Generation Comput Syst, (16)1999. [PUMA: imported molecularSimulation] URL

Ricardo Amorim, João Aguiar Castro, João Rocha, and Cristina Ribeiro. LabTablet: Semantic Metadata Collection on a Multi-domain Laboratory Notebook. Communications in Computer and Information Science, (478):193-205, November 2014. [PUMA: forschungsdaten metadata ontologie eln tools]

Lonni Besançon, and Pierre Dragicevic. La Différence Significative entre Valeurs p et Intervalles de Confiance. In AFIHM (Eds.), 29ème conférence francophone sur l'Interaction Homme-Machine, 10, Poitiers, France, August 2017. [PUMA: relatedPublication] URL

Lisa Käde. Kreative Maschinen und Urheberrecht. Datenrecht und neue Technologien, (2)Nomos, Baden-Baden, 2021. [PUMA: forschungsdaten urheberrecht rechtlicheFragestellungen ki] URL

Paul Groth, Elena Simperl, Marieke van Erp, and Denny Vrandečić. Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century (Dagstuhl Seminar 22372). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023. [PUMA: forschungsdaten metadata knowledgegraph] URL