Lessons Learned and Open Challenges Regarding Support for Data Management Plans and Research Data Management

Abstract

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.

Details

Creators
Heike Görzig; Felix Engel; Holger Brocks; Matthias Hemmje
Institutions
Date
Keywords
shaman; aparsen; scidip-es; dmp; rdm; oais; oai-ore; data curation; automation; data management policies
Publication Type
paper
License
CC BY 4.0 International
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