Dr. Tobias Weigel
Work area
Helmholtz AI (AIM)Background
Computer science, geoinformatics
Collaborative activities
- Editorial Board member of CODATA Data Science Journal (2015-)
- EOSC-pillar (2019-2020)
- EOSC-hub (2018-2020)
- EUDAT, EUDAT2020 (2012-2018)
- Co-chair of multple RDA Working Groups on PIDs, data and metadata management (2013-2020)
- Member of the Architecture WG of the European Open Science Coud, co-chair of the PID Task Force (2019-2020)
- Member of the Technical Advisory Board of the Research Data Alliance (RDA) (2016-2019)
Selected publications
Also see my ORCID record (not necessarily complete).
Refereed journal articles:
- Weigel, Schwardmann, Klump, Bendoukha, Quick: Making Data and Workflows Findable for Machines. Data Intelligence (2020). doi:10.1162/dint_a_00026
- Jacobsen, et al.: FAIR Principles: Interpretations and Implementation Considerations. Data
Intelligence (2019). doi:10.1162/dint_r_00024 - Balaji, Taylor, Juckes, Lawrence, Durack, Lautenschlager, Blanton, Cinquini, Denvil, Elkington, Guglielmo, Guilyardi, Hassell, Kharin, Kindermann, Nikonov, Radhakrishnan, Stockhause, Weigel, Williams: Requirements for a global data infrastructure in support of CMIP6. Geoscientific Model Development (2018). doi:10.5194/gmd-11-3659-2018
- Klump, Murphy, Weigel, Parsons: Editorial: 20 Years of Persistent Identifiers - Applications
and Future Directions. Data Science Journal Special Collection (2017). doi:10.5334/dsj-
2017-052 - Data Science Journal, Special Collection on Persistent Identifiers; Klump, Murphy, Weigel, Parsons (eds). 2017.
- Weigel, Kindermann, Lautenschlager: Actionable Persistent Identifier Collections. Data Science
Journal, 2014. doi:10.2481/dsj.12-058 - Weigel, Lautenschlager, Toussaint, Kindermann: A framework for extended persistent identification
of scientific assets. Data Science Journal, 2013.
Technical reports and community standards:
- Weigel, Plale, Parsons, Zhou, Luo, Schwardmann, Quick, Hellström, Kurakawa: RDA Recommendation on PID Kernel Information (Version 1). Research Data Alliance, 2018. doi:10.15497/RDA00031
- Weigel, Almas, Baumgardt, Zastrow, Schwardmann, Hellström, Quinteros, Fleischer: Recommendation on Research Data Collections. Research Data Alliance, 2017. doi:10.15497/RDA00022
- Weigel, DiLauro, Zastrow: PID Information Types WG final deliverable. Research Data Alliance, 2015. doi:1015497/FDAA09D5-5ED0-403D-B97A-2675E1EBE786