Lessons Learned and Open Challenges Regarding Support for Data Management Plans and Research Data Management
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.
["Görzig, Heike", "Engel, Felix", "Brocks, Holger", "Hemmje, Matthias"]
["shaman", "aparsen", "scidip-es", "dmp", "rdm", "oais", "oai-ore", "data curation", "automation", "data management policies"]