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