Publications

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

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]

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

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]

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

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

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

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

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

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

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]

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

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

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]

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

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

Anton Boudreau Ninkov, Chantal Ripp, Kathleen Gregory, Isabella Peters, and Stefanie Haustein. A dataset from a survey investigating disciplinary differences in data citation. Zenodo, 2023. [PUMA: citations forschungsdaten] 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

Antony Della Vecchia, Michael Joswig, and Benjamin Lorenz. A FAIR File Format for Mathematical Software. 2023. [PUMA: fileformat forschungsdaten mardi mathematics]

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]