Publications

Arofan Gregory, Darren Bell, Dan Brickley, Pier Luigi Buttigieg, Simon Cox, Michelle Edwards, Fils Doug, Luis Gerardo Gonzalez Morales, Pascal Heus, Simon Hodson, Chifundo Kanjala, Yann Le Franc, Lauren Maxwell, Laura Molloy, Steve Richard, Flavio Rizzolo, Peter Winstanley, Lesley Wyborn, and Adrian Burton. WorldFAIR (D2.3) Cross-Domain Interoperability Framework (CDIF) (Report Synthesising Recommendations for Disciplines and Cross-Disciplinary Research Areas). Zenodo, 2024. [PUMA: forschungsdaten interoperability metadata schemaOrg] URL

Till Kreutzer, and Georg Fischer. Urheberrecht in der Wissenschaft. Ein Überblick für Forschung, Lehre und Bibliotheken. Zenodo, August 2023. [PUMA: Urheberrecht forschungsdaten rechtlicheFragestellungen] URL

UNESCO Recommendation on Open Science. In UNESCO (Eds.), 2021. [PUMA: forschungsdaten openScience openaccess politik positionspapier] URL

Paul N Edwards, Steven J Jackson, Geoffrey C Bowker, and Cory Philip Knobel. Understanding infrastructure: Dynamics, tensions, and design. 2007. [PUMA: infrastructure it]

Bernd Flemisch, Sibylle Hermann, Christian Holm, Miriam Mehl, Guido Reina, Benjamin Uekermann, David Boehringer, Thomas Ertl, Jean-Noël Grad, Dorothea Iglezakis, Alexander Jaust, Timo Koch, Anett Seeland, Rudolf Weeber, Florian Weik, and Kilian Weishaupt. Umgang mit Forschungssoftware an der Universität Stuttgart. Universität Stuttgart, 2020. [PUMA: forschungsdaten myown software] URL

Andreas Schreiber, and Regina Struminski. Tracing personal data using comics. Universal Access in Human--Computer Interaction. Design and Development Approaches and Methods: 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9--14, 2017, Proceedings, Part I 11, 444--455, 2017. [PUMA: comics forschungsdaten metadata provenance]

Michael Felderer, Michael Goedicke, Lars Grunske, Wilhelm Hasselbring, Anna-Lena Lamprecht, and Bernhard Rumpe. Toward Research Software Engineering Research. Zenodo, 2023. [PUMA: classification forschungsdaten metadata software] URL

Markus Hirsch, Dorothea Iglezakis, Frank Leymann, and Michael Zimmermann. The ReSUS Project - Infrastructure for Sharing Research Software. E-Science-Tage 2021: Share Your Research Data, 267-276, heiBOOKS, 2022. [PUMA: forschungsdaten metadata myown repository software tools] URL

Josh Brown, Phill Jones, Alice Meadows, and Fiona Murphy. The PID-optimised Research Lifecycle. Zenodo, 2021. [PUMA: forschungsdaten persistentIdentifier] URL

The EUA Open Science Agenda 2025. In European University Association (Eds.), February 2022. [PUMA: fairPrinciples forschungsdaten openScience openaccess policy] URL

Giovanni Colavizza, Iain Hrynaszkiewicz, Isla Staden, Kirstie Whitaker, and Barbara McGillivray. The citation advantage of linking publications to research data. PLOS ONE, (15)4:1-18, Public Library of Science, April 2020. [PUMA: credit forschungsdaten motivation] URL

Demitri Muna, Michael Alexander, Alice Allen, Richard Ashley, Daniel Asmus, Ruyman Azzollini, Michele Bannister, Rachael Beaton, Andrew Benson, G. Bruce Berriman, Maciej Bilicki, Peter Boyce, Joanna Bridge, Jan Cami, Eryn Cangi, Xian Chen, Nicholas Christiny, Christopher Clark, Michelle Collins, Johan Comparat, Neil Cook, Darren Croton, Isak Delberth Davids, Éric Depagne, John Donor, Leonardo A. dos Santos, Stephanie Douglas, Alan Du, Meredith Durbin, Dawn Erb, Daniel Faes, J. G. Fernández-Trincado, Anthony Foley, Sotiria Fotopoulou, Søren Frimann, Peter Frinchaboy, Rafael Garcia-Dias, Artur Gawryszczak, Elizabeth George, Sebastian Gonzalez, Karl Gordon, Nicholas Gorgone, Catherine Gosmeyer, Katie Grasha, Perry Greenfield, Rebekka Grellmann, James Guillochon, Mark Gurwell, Marcel Haas, Alex Hagen, Daryl Haggard, Tim Haines, Patrick Hall, Wojciech Hellwing, Edmund Christian Herenz, Samuel Hinton, Renee Hlozek, John Hoffman, Derek Holman, Benne Willem Holwerda, Anthony Horton, Cameron Hummels, Daniel Jacobs, Jens Juel Jensen, David Jones, Arna Karick, Luke Kelley, Matthew Kenworthy, Ben Kitchener, Dominik Klaes, Saul Kohn, Piotr Konorski, Coleman Krawczyk, Kyler Kuehn, Teet Kuutma, Michael T. Lam, Richard Lane, Jochen Liske, Diego Lopez-Camara, Katherine Mack, Sam Mangham, Qingqing Mao, David J. E. Marsh, Cecilia Mateu, Loïc Maurin, James McCormac, Ivelina Momcheva, Hektor Monteiro, Michael Mueller, Roberto Munoz, Rohan Naidu, Nicholas Nelson, Christian Nitschelm, Chris North, Juan Nunez-Iglesias, Sara Ogaz, Russell Owen, John Parejko, Vera Patrício, Joshua Pepper, Marshall Perrin, Timothy Pickering, Jennifer Piscionere, Richard Pogge, Radek Poleski, Alkistis Pourtsidou, Adrian M. Price-Whelan, Meredith L. Rawls, Shaun Read, Glen Rees, Hanno Rein, Thomas Rice, Signe Riemer-Sørensen, Naum Rusomarov, Sebastian F. Sanchez, Miguel Santander-García, Gal Sarid, William Schoenell, Aleks Scholz, Robert L. Schuhmann, William Schuster, Peter Scicluna, Marja Seidel, Lijing Shao, Pranav Sharma, Aleksandar Shulevski, David Shupe, Cristóbal Sifón, Brooke Simmons, Manodeep Sinha, Ian Skillen, Bjoern Soergel, Thomas Spriggs, Sundar Srinivasan, Abigail Stevens, Ole Streicher, Eric Suchyta, Joshua Tan, O. Grace Telford, Romain Thomas, Chiara Tonini, Grant Tremblay, Sarah Tuttle, Tanya Urrutia, Sam Vaughan, Miguel Verdugo, Alexander Wagner, Josh Walawender, Andrew Wetzel, Kyle Willett, Peter K. G. Williams, Guang Yang, Guangtun Zhu, and Andrea Zonca. The Astropy Problem. 2016. [PUMA: credit recognition rse software] URL

Dimitris Kontokostas, Patrick Westphal, Sören Auer, Sebastian Hellmann, Jens Lehmann, Roland Cornelissen, and Amrapali Zaveri. Test-driven evaluation of linked data quality. Proceedings of the 23rd International Conference on World Wide Web, 747–758, Association for Computing Machinery, New York, NY, USA, 2014. [PUMA: linkedData metadata quality] URL

Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, and Peter W. Rose. Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. PLOS Computational Biology, (15)7:1-8, Public Library of Science, July 2019. [PUMA: bestPractice jupyter software workflows] URL

William K. Michener. Ten Simple Rules for Creating a Good Data Management Plan. PLOS Computational Biology, (11)10:1-9, Public Library of Science, October 2015. [PUMA: dmp forschungsdaten] URL

Matthew Hutson. Taking the pain out of data sharing. Nature, (610)7930:220--221, Oct 1, 2022. [PUMA: forschungsdaten journals motivation sharing] URL

Daniel Schober, Barry Smith, Suzanna E. Lewis, Waclaw Kusnierczyk, Jane Lomax, Chris Mungall, Chris F. Taylor, Philippe Rocca-Serra, and Susanna-Assunta Sansone. Survey-based naming conventions for use in OBO Foundry ontology development.. BMC Bioinformatics, (10)1:125, Apr 27, 2009. [PUMA: convention forschungsdaten lifeSciences naming obo ontologie standard] URL

Philipp Cimiano, Christian Pietsch, and Cord Wiljes. Studies in Analytical Reproducibility: the Conquaire Project. 8057464 bytes, 2021. [PUMA: analyticalreproducibility forschungsdaten psychology reproducibility software] URL

Stephan Druskat, Oliver Bertuch, Guido Juckeland, Oliver Knodel, and Tobias Schlauch. Software publications with rich metadata: state of the art, automated workflows and HERMES concept. 2022. [PUMA: forschungsdaten metadata project software]

Alexandre Hocquet, Frédéric Wieber, Gabriele Gramelsberger, Konrad Hinsen, Markus Diesmann, Fernando Pasquini Santos, Catharina Landström, Benjamin Peters, Dawid Kasprowicz, Arianna Borrelli, Phillip Roth, Clarissa Ai Ling Lee, Alin Olteanu, and Stefan Böschen. Software in science is ubiquitous yet overlooked. Nature Computational Science, 2024. [PUMA: RSE licensing maintenance research software] URL

Semantic Web. In Tassilo Pellegrini, and Andreas Blumauer (Eds.), Springer Berlin Heidelberg, 2006. [PUMA: metadata semanticWeb] URL

Maroua Masmoudi, Sana Ben Abdallah Ben Lamine, Mohamed Hedi Karray, Bernard Archimede, and Hajer Baazaoui Zghal. Semantic Data Integration and Querying: A Survey and Challenges. ACM Comput. Surv., (56)8:1–35, Association for Computing Machinery, New York, NY, USA, Apr 26, 2024. [PUMA: forschungsdaten integration interoperability metadata semanticWeb] URL

Maggie Hellström, André Heughebaert, Rachael Kotarski, Paolo Manghi, Brian Matthews, Raphael Ritz, Anders Sparre Conrad, Tobias Weigel, Peter Wittenburg, and Mario Valle. Second draft Persistent Identifier (PID) policy for the European Open Science Cloud (EOSC). Zenodo, 2020. [PUMA: eosc forschungsdaten persistentIdentifier policy] URL

Shilpa Verma, Rajesh Bhatia, Sandeep Harit, and Sanjay Batish. Scholarly knowledge graphs through structuring scholarly communication: a review. Complex & Intelligent Systems, (9)1:1059--1095, Feb 1, 2023. [PUMA: knowledgegraph metadata publications semanticWeb] URL

European Commission, Directorate-General for Research, and Innovation. Scholarly infrastructures for research software : report from the EOSC Executive Board Working Group (WG) Architecture Task Force (TF) SIRS. Publications Office, 2020. [PUMA: eosc forschungsdaten infrastruktur software]

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: credit forschungsdaten motivation] URL

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

Paul Baumann. Rechte an Forschungsdaten. Trier University, 2023. [PUMA: forschungsdaten gwp rechtlicheFragestellungen urheberrecht] 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: metadata opendata 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: linkedData metadata quality]

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: datenmänagementplan dmp forschungsdaten software] 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 interoperability materialScience metadata ontology] URL

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

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

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

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

Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, and Dominik Göddeke. Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. 2023. [PUMA: forschungsdaten mathematics models myown ontologie] URL

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

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 harvesting metadata 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: engineering forschungsdaten metadata myown ontologie] URL

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 molecularSimulation software]

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

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 ki rechtlicheFragestellungen urheberrecht] 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 knowledgegraph metadata] URL

Michael Selzer. Kadi4Mat - Karlsruhe Data Infrastructure for Materials Science. Zenodo, 2023. [PUMA: eln forschungsdaten software tools] URL

Iratxe Puebla, Daniella Lowenberg, and FORCE11 Research Data Publishing Ethics WG. Joint FORCE11 & COPE Research Data Publishing Ethics Working Group Recommendations. Zenodo, 2021. [PUMA: autorenschaft ethischeFragestellungen forschungsdaten repositorien] URL

Martin Fenner, and Amir Aryani. Introducing the PID Graph. 2019. [PUMA: forschungsdaten infrastruktur pid] URL

Barbara Magagna, Gwenaëlle Moncoiffé, Anusuriya Devaraju, Maria Stoica, Sirko Schindler, and Alison Pamment. InteroperAble Descriptions of Observable Property Terminologies (I-ADOPT). In Research Data Alliance (Eds.), 2022. [PUMA: interoperability metadata ontologie variable] URL

Christian Riedel, Hendrik Geßner, Anja Seegebrecht, Safial Islam Ayon, Shafayet Hossen Chowdhury, Ralf Engbert, and Ulrike Lucke. Including Data Management in Research Culture Increases the Reproducibility of Scientific Results. Gesellschaft für Informatik, Bonn, 2022. [PUMA: forschungsdaten reproducibility] URL

Konrad Johannes Reiche, and Edzard Höfig. Implementation of Metadata Quality Metrics and Application on Public Government Data. 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops, 236-241, 2013. [PUMA: forschungsdaten metadata metrics quality]

Paul Richmond, Dawn Walker, Simon Coakley, and Daniela Romano. High performance cellular level agent-based simulation with FLAME for the GPU. Briefings in bioinformatics, (11)3:334--347, Oxford Univ Press, 2010. [PUMA: simulations tools]

Birte Glimm, Ian Horrocks, Boris Motik, Giorgos Stoilos, and Zhe Wang. HermiT: An OWL 2 Reasoner. Journal of Automated Reasoning, (53)3:245--269, Oct 1, 2014. [PUMA: hermit metadata reasoning semanticWeb] URL

Ruth Duerr, Pier Luigi Buttigieg, Gary Berg Cross, Kai Lewis Blumberg, Brandon Whitehead, Nancy Wiegand, and Kate Rose. Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET. Towards a General Model for Semantic Harmonization. Data Science Journal, (23)Ubiquity Press, Ltd., 2024. [PUMA: interoperability metadata ontologie semanticWeb] URL

Föderierte Dateninfrastrukturen für die wissenschaftliche Nutzung. NFDI, EOSC und Gaia-X: Vergleich und Anregungen für eine engagierte Mitgestaltung des Ausbaus und der Weiterentwicklung. In RfII – Rat für Informationsinfrastrukturen (Eds.), 4March 2023. [PUMA: eosc forschungsdaten gaiaX nfdi politik] URL

Forschungsdatenmanagement in kleinen Forschungsprojekten - Eine Handreichung für die Praxis.. In RatSWD (Rat für Sozial-und Wirtschaftsdaten) (Eds.), RatSWD Output Series, (7. Berufungsperiode)32023. [PUMA: forschungsdaten handreichung positionspapier sozialwissenschaften verhaltenswissenschaften wirtschaftswissenschaften]

Simon Schmiederer, and Monika Kuberek. Forschungsdaten-Policies für Forschungsprojekte: ein strukturierter Leitfaden. Technische Universität Berlin, 2022. [PUMA: forschungsdaten leitlinien policy] URL

Jerry de Vries, Vyacheslav Tykhonov, Andrea Scharnhorst, Eko Indarto, and Femmy Admiraal. Flexible metadata schemes for research data repositories - The Common Framework in Dataverse and the CMDI use case. In Monica Monachini, and Maria Eskevich (Eds.), Proceedings of the CLARIN Annual Conference 2021, 109-118, 2021. [PUMA: CMDI dataverse forschungsdaten metadata]

Neil P. Chue Hong, Daniel S. Katz, Michelle Barker, Anna-Lena Lamprecht, Carlos Martinez, Fotis E. Psomopoulos, Jen Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, and Tom Honeyman. FAIR Principles for Research Software (FAIR4RS Principles). Research Data Alliance, 2021. [PUMA: fairPrinciples forschungsdaten software] URL

Sheeba Samuel, and Daniel Mietchen. FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset. 2024. [PUMA: jupyter knowledgegraph reproducibility software]

Carsten Oliver Schmidt, Stephan Struckmann, Cornelia Enzenbach, Achim Reineke, Jürgen Stausberg, Stefan Damerow, Marianne Huebner, Börge Schmidt, Willi Sauerbrei, and Adrian Richter. Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R. BMC Medical Research Methodology, (21)1:63--, 2021. [PUMA: forschungsdaten framework health quality] URL

Peter Doorn, Wilko Steinhoff, Maaike Verburg, Marjan Grootveld, and Ingrid Dillo. F-UJI and FAIR Enough tool comparison dataset (European Research Data Landscape study). Zenodo, 2022. [PUMA: assessment fairPrinciples forschungsdaten metadata] URL

European Commission, Directorate-General for Research, and Innovation. European Research Data Landscape : final report. Publications Office of the European Union, 2022. [PUMA: europa forschungsdaten politik positionspapier]

Simone Lauterbach, Hannah Dienhart, Jan Range, Stephan Malzacher, Jan-Dirk Spöring, Dörte Rother, Maria Filipa Pinto, Pedro Martins, Colton E. Lagerman, Andreas S. Bommarius, Amalie Vang Høst, John M. Woodley, Sandile Ngubane, Tukayi Kudanga, Frank T. Bergmann, Johann M. Rohwer, Dorothea Iglezakis, Andreas Weidemann, Ulrike Wittig, Carsten Kettner, Neil Swainston, Santiago Schnell, and Jürgen Pleiss. EnzymeML: seamless data flow and modeling of enzymatic data. Nature Methods, Feb 9, 2023. [PUMA: forschungsdaten metadata myown] URL

Wolmar Nyberg Åkerström, Kurt Baumann, Oscar Corcho, Romain David, Yann Le Franc, Bénédicte Madon, Barbara Magagna, András Micsik, Marco Molinaro, Milan Ojsteršek, Silvio Peroni, Andrea Scharnhorst, Lars Vogt, and Heinrich Widmann. DRAFT: Developing and implementing the semantic interoperability recommendations of the EOSC Interoperability Framework. EOSC Semantic Interoperability Task Force, 2024. [PUMA: eosc forschungsdaten interoperability semanticWeb standard] URL

Jianpei Geng, Tetyana Shalomayeva, Mariia Gryzlova, Amlan Mukherjee, Santo Santonocito, Dzhavid Dzhavadzade, Durga Dasari, Hiromitsu Kato, Rainer Stöhr, Andrej Denisenko, Norikazu Mizuochi, and Jörg Wrachtrup. Dopant-assisted stabilization of negatively charged single nitrogen-vacancy centers in phosphorus-doped diamond at low temperatures. 2023. [PUMA: darus]

Alfonso Quarati, and Juliana E Raffaghelli. Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the Figshare case. Journal of Information Science, (48)4:423-448, 2022. [PUMA: forschungsdaten metadata quality usage] URL

Konstantin Wilms, Stefan Stieglitz, Alina Buchholz, Raimund Vogl, and Dominik Rudolph. Do Researchers Dream of Research Data Management?. Proceedings of the 51st Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 2018. [PUMA: credit forschungsdaten motivation] URL

Stefan Bieliauskas, and Andreas Schreiber. DLR-SC/prov-comics: QS PROV Comics Prototype - Big fixes. Zenodo, April 2017. [PUMA: comics forschungsdaten javascript metadata provenance software tools] URL

Arno Kesper, Viola Wenz, and Gabriele Taentzer. Detecting Quality Problems in Research Data: A Model-Driven Approach. 2020. [PUMA: forschungsdaten metadata quality] URL

Morane Gruenpeter, Daniel S. Katz, Anna-Lena Lamprecht, Tom Honeyman, Daniel Garijo, Alexander Struck, Anna Niehues, Paula Andrea Martinez, Leyla Jael Castro, Tovo Rabemanantsoa, Neil P. Chue Hong, Carlos Martinez-Ortiz, Laurents Sesink, Matthias Liffers, Anne Claire Fouilloux, Chris Erdmann, Silvio Peroni, Paula Martinez Lavanchy, Ilian Todorov, and Manodeep Sinha. Defining Research Software: a controversial discussion. Zenodo, 2021. [PUMA: definition forschungsdaten software] URL

DATENPOLITIK, OPEN SCIENCE UND DATENINFRASTRUKTUREN: AKTUELLE ENTWICKLUNGEN IM EUROPÄISCHEN RAUM. In Rat für Informationsinfrastrukturen (RfII) (Eds.), 2022. [PUMA: dataSpaces eosc europa forschungsdaten gaiaX hpc-computing politik]

Felicitas Löffler, Valentin Wesp, Birgitta König-Ries, and Friederike Klan. Dataset search in biodiversity research: Do metadata in data repositories reflect scholarly information needs?. PLOS ONE, (16)3:1-36, Public Library of Science, March 2021. [PUMA: biodiversity forschungsdaten metadata quality retrievability] URL

Matthew Buys. DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations. Zenodo, 2023. [PUMA: citations forschungsdaten metadata] URL

Maxi Kindling, and Dorothea Strecker. Data Quality Assurance at Research Data Repositories. Data Science Journal, (21)Ubiquity Press, Ltd., 2022. [PUMA: dataQuality forschungsdaten repository survey] URL

Ilkay Melek Yazıcı. DATA PROVENANCE VISUALIZATION METHODOLOGIES. 2023. [PUMA: metadata provenance visualization]

Robert L Grossman. Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data. Trends in genetics : TIG, (35)3:223--234, England, March 2019. [PUMA: definition forschungsdaten tools] URL

DataCite, and Make Data Count. Data Citation Corpus Data File. DataCite, 2024. [PUMA: citations forschungsdaten] URL

Federica Garbuglia, Bregt Saenen, Vinciane Gaillard, and Claudia Engelhardt. D7.5 Good Practices in FAIR Competence Education. Zenodo, December 2021. [PUMA: bestPractice forschungsdaten training] URL

Morane Gruenpeter, Sabrina Granger, Alain Monteil, Neil Chue Hong, Elena Breitmoser, Mario Antonioletti, Daniel Garijo, Esteban González Guardia, Alejandra Gonzalez Beltran, Carole Goble, Stian Soiland-Reyes, Nick Juty, and Gabriela Mejias. D4.4 - Guidelines for recommended metadata standard for research software within EOSC. Zenodo, June 2023. [PUMA: eosc forschungsdaten metadata software standards] URL

Wim Hugo, Yann Le Franc, Gerard Coen, Jessica Parland-von Essen, and Luiz Bonino. D2.5 FAIR Semantics Recommendations Second Iteration. Zenodo, 2020. [PUMA: forschungsdaten metadata ontologie recommendation semanticWeb] URL

Roberto Di Cosmo, Morane Gruenpeter, Bruno Marmol, Alain Monteil, Laurent Romary, and Jozefina Sadowska. Curated Archiving of Research Software Artifacts: Lessons Learned from the French Open Archive (HAL). International Journal of Digital Curation, (15)1:16, Edinburgh University Library, August 2020. [PUMA: curation forschungsdaten quality repository software] URL

Sheeba Samuel, and Daniel Mietchen. Computational reproducibility of Jupyter notebooks from biomedical publications. 2022. [PUMA: forschungsdaten jupyter reproducibility review software]

Jan Martin Keil, and Sirko Schindler. Comparison and Evaluation of Ontologies for Units of Measurement. 2018. [PUMA: comparison metadata ontologie units]

Robert Arp, Barry Smith, and Andrew D. Spear. Building Ontologies with Basic Formal Ontology. In MIT Press (Eds.), 2015. [PUMA: metadata ontologie top-level-ontologien]

Graham Lee, Sebastian Bacon, Ian Bush, Laura Fortunato, David Gavaghan, Thibault Lestang, Caroline Morton, Martin Robinson, Philippe Rocca-Serra, Susanna-Assunta Sansone, and Helena Webb. Barely sufficient practices in scientific computing. Patterns, (2)2:100206, 2021. [PUMA: forschungsdaten motivation software] URL

Lamy Jean-Baptiste. Automatic reasoning. Ontologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2, 157--185, Apress, Berkeley, CA, 2021. [PUMA: hermit metadata python reasoning semanticWeb] URL

Sebastian Neumaier, Jürgen Umbrich, and Axel Polleres. Automated Quality Assessment of Metadata across Open Data Portals. J. Data and Information Quality, (8)1Association for Computing Machinery, New York, NY, USA, October 2016. [PUMA: forschungsdaten metadata metrics opendata quality] URL

Robert Sanderson, Mark Phillips, and Herbert Van de Sompel. Analyzing the Persistence of Referenced Web Resources with Memento. In arXiv (Eds.), 2011. [PUMA: forschungsdaten motivation persistentIdentifier]

Matthias Ruf, and Holger Steeb. An open, modular, and flexible micro X-ray computed tomography system for research. Review of Scientific Instruments, (91)11:113102, 2020. [PUMA: relatedpublication sfb1313 tools x-ray] URL

Timo Koch, Dennis Gläser, Anett Seeland, Sarbani Roy, Katharina Schulze, Kilian Weishaupt, David Boehringer, Sibylle Hermann, and Bernd Flemisch. A sustainable infrastructure concept for improved accessibility, reusability, and archival of research software. 2023. [PUMA: forschungsdaten repository software tools]

Eleftherios Dimitrakis, Konstantinos Sgontzos, and Yannis Tzitzikas. A survey on question answering systems over linked data and documents. Journal of Intelligent Information Systems, (55)2:233--259, 2020. [PUMA: linkedData metadata semanticWeb] URL

Bernhard Haslhofer, and Wolfgang Klas. A survey of techniques for achieving metadata interoperability. ACM Comput. Surv., (42)2:7:1-7:37, February 2010. [PUMA: forschungsdaten interoperability metadata] URL

Maggie Hellström, André Heughebaert, Rachael Kotarski, Paolo Manghi, Brian Matthews, Raphael Ritz, Anders Sparre Conrad, Mrio Valle, Tobias Weigel, and Peter Wittenburg. A Persistent Identifier (PID) policy for the European Open Science Cloud (EOSC). In Directorate-General for Research, Innovation (European Commission), and EOSC Executive Board (Eds.), 2020. [PUMA: forschungsdaten pid policy] URL

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