Affiliation: 
German Climate Computing Center
Country: 
Germany
Gender: 
M


Dr. Tobias Weigel has a background in geoinformatics and computer science and is working at the German Climate Computing Center (DKRZ) in the area of e-infrastructures at European and international level. Tobias advocates and implements the use of persistent identifiers, machine-interpretable metadata and reusable software components for data management, aiming to improve efficiency and effectiveness of data management and processing for benefit of both researchers and data infrastructure providers, and contributing to better traceability and interoperability of research data and services that work with them. Tobias has a strong interest in building innovative solutions across domains, harnessing the potential of computer science concepts to make work with research data more productive and open.

As part of his activities, Tobias has been extensively involved in data infrastructure projects, both cross-domain (EUDAT, EOSC-hub) and Earth System science specific (ESGF, IS-ENES). In EUDAT, Tobias has been responsible for the B2HANDLE service, which provides identifiers for cross-service data management and realizes the benefits of an identifier graph across multiple EOSC services. Tobias has worked in the Earth System Grid (ESGF) community to foster the adoption of identifiers and key metadata for the Coupled Model Intercomparison Project Phase 6 (CMIP6) and has subsequently implemented new services for managing data versions, collections, and provenance.  In the EOSC-hub project, Tobias leads the service integration efforts for the ENES Climate Analytics Service (ECAS), which fosters a cultural change towards server-side data processing and mining with Python, improving reproducibility and re-use of research data workflows and circumventing data transfer, storage and compute bottlenecks.

As part of building overarching solutions based on software components, identifiers and metadata, Tobias has been active in the Research Data Alliance (RDA), co-leading multiple Interest Groups and Working Groups on Data Fabric and PID concepts. He is co-author of multiple RDA Recommendations on PID Types, Collections and Kernel Information. Tobias is a member of the RDA Technical Advisory Board (TAB) and is an editorial board member of the CODATA Data Science Journal.