This title appears in the Scientific Report :
2023
Please use the identifier:
http://dx.doi.org/10.34734/FZJ-2023-05236 in citations.
Distributed Data Management for Large Collaborative Projects: DataLad Ecosystem in Collaborative Research Center 1451
Distributed Data Management for Large Collaborative Projects: DataLad Ecosystem in Collaborative Research Center 1451
A collaborative research center connects research groups across institutions. Individual and diverse research output needs to become part of the consortium‘s data collection as a whole. This offers unique opportunities, but also challenges. Distributed data management, where projects control key dat...
Saved in:
Personal Name(s): | Szczepanik, Michał (Corresponding author) |
---|---|
Heunis, Stephan / Mönch, Christian / Wagner, Adina Svenja / Waite, Alexander / Waite, Laura / Hanke, Michael | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Imprint: |
2023
|
DOI: |
10.34734/FZJ-2023-05236 |
Conference: | From data to Diamonds - Empowering Research with AI and RDM, Aachen (Germany), 2023-11-14 - 2023-11-14 |
Document Type: |
Poster |
Research Program: |
Datenmanagement für computergestützte Modellierung (INF) Neuroscientific Data Analytics and AI |
Link: |
OpenAccess |
Publikationsportal JuSER |
A collaborative research center connects research groups across institutions. Individual and diverse research output needs to become part of the consortium‘s data collection as a whole. This offers unique opportunities, but also challenges. Distributed data management, where projects control key data management decisions (standards, storage, sharing), and the findability, accessibility, interoperability, and reusability of their data is achieved with a common data management software layer (overlay structure) is a possible solution.The poster presents ongoing software developments across the DataLad (datalad.org) ecosystem which are influenced by our involvement as the INF project in CRC1451 (sfb1451.de). |