| dc.contributor.author | Goedicke,Michael | |
| dc.contributor.author | Lucke,Ulrike | |
| dc.contributor.editor | Demmler, Daniel | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Federrath, Hannes | |
| dc.date.accessioned | 2022-09-28T17:09:58Z | |
| dc.date.available | 2022-09-28T17:09:58Z | |
| dc.date.issued | 2022 | |
| dc.identifier.isbn | 978-3-88579-720-3 | |
| dc.identifier.issn | 1617-5468 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/39466 | |
| dc.description.abstract | This contribution discusses the challenges and architectural considerations for Research Data Management in computer science and related infrastructure for implementing the so-called FAIR principles. The main challenge is, to cover the research data management requirements of the various sub disciplines of computer science. This diversity must be managed in a uniform way which entails a common structure for this task. We outline these requirements briefly and discuss then the concept of the so-called research data management container (RDMC) which encapsulates a given research data set in conjunction with all accompanying information and support (software, execution environment etc) in order to provide a portable unit for management, distribution and access control. | en |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-326 | |
| dc.subject | Research Data Management | |
| dc.subject | FAIR Principles | |
| dc.subject | Nationale Forschungsdaten Infrastruktur | |
| dc.title | Research Data Management in Computer Science - NFDIxCS Approach | en |
| mci.reference.pages | 1317-1328 | |
| mci.conference.sessiontitle | Hochschule 2032 | |
| mci.conference.location | Hamburg | |
| mci.conference.date | 26.-30. September 2022 | |
| dc.identifier.doi | 10.18420/inf2022_112 | |