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Title
Lessons Learned and Open Challenges Regarding Support for Data Management Plans and Research Data Management
Language
English
Description (en)
This paper outlines an approach for developing tools and services that support automated generation, management, evolution and execution of data management plans (DMPs) by generating rules derived from the DMPs which can be applied to the data to be archived. The approach is based on existing models and tools that were developed in successive research projects SHAMAN, APARSEN, and SCIDIP-ES. The models include the Curation Lifecycle Model from the DCC, the OAIS Information Model and the Extended Information Model to support processes, domains, and organizations. An approach for deriving rules from policies is outlined to support using iRODS. OAIS and Context Information related to a data object is supported in a serialization using the OAI-ORE format.
Keywords (en)
SHAMAN, APARSEN, SCIDIP-ES, DMP, RDM, OAIS, OAI-ORE, data curation, automation, data management policies
ISBN
978-0-692-59881-8
Author of the digital object
Heike  Görzig
Felix  Engel
Holger  Brocks
Matthias  Hemmje
Format
application/pdf
Size
886.5 kB
Licence Selected
CC BY 4.0 International
Conferences
Conference 2015
Name of Publication (en)
Proceedings of the 12th International Conference on Digital Preservation
Publisher
School of Information and Library Science, University of North Carolina at Chapel Hill
Other links

ISBN
978-0-692-59881-8

Content
Details
Uploader
Object type
PDFDocument
Format
application/pdf
Created
04.03.2016 01:07:40
Metadata