Building a bridge to the future of machine-actionable DMP tools with DAMAP
Creators
- 1. TU Wien
- 2. TU Graz
Description
Early Data Management Plan (DMP) tools often created DMPs that were not machine-actionable, meaning there was limited potential for other systems to access the data, unnecessarily restricting the sharing of data. While many tools now produce machine-actionable DMPs (maDMPs), the challenge is moving them away from creating static products and instead to interconnected, machine-actionable resources. How can we make the transition to living maDMPs with no more PDFs being exported? Using the DMP Tool DAMAP as an example, this poster describes the evolution of DMPs and outlines how DAMAP will be used as part of the OSTrails (Open Science) project to help move us towards a future of truly machine-actionable DMPs.
DMP Tools
Various DMP tools have been developed to support researchers in completing DMPs.
DMP tools often:
- are just interactive questionnaires for document generation
- do not reuse existing information from a CRIS
- duplicate questions asked by other systems of the organization
- can overwhelm users with the number of questions
DAMAP
We have created a comprehensive DMP tool, DAMAP, and invite institutions to join us to enhance and expand its capability. DAMAP is a machine-actionable DMP tool that guides researchers through the creation of a DMP, incorporating relevant CRIS infrastructure to more quickly and accurately allow them to complete plans that align to FAIR data practices. DAMAP was developed with the RDA recommenda¬tions for maDMPs in mind, i.e., we focus on model¬ling information, not questionnaires.
Future
As part of the OSTrails project initiated in February, 2024, we are taking concrete steps to normalize interconnected, machine-actionable DMPs within Research Data Management (RDM). This poster includes details of the steps that will bring us closer to our goal of having maDMPs be the standard for seamless interconnectivity within the RDM community.
Files
DAMAP-poster_EXPO_20250116.pdf
Additional details
Funding
Dates
- Other
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2025-01-16presented at the Cluster Forschungsdaten EXPO 2025