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        <datestamp>2025-06-05T13:49:48Z</datestamp>
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              <identifier identifierType="DOI">10.5281/zenodo.14781625</identifier>
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                  <creatorName nameType="Personal">Miksa, Tomasz</creatorName>
                  <givenName>Tomasz</givenName>
                  <familyName>Miksa</familyName>
                  <nameIdentifier nameIdentifierScheme="ORCID">0000-0002-4929-7875</nameIdentifier>
                  <affiliation>TU Wien</affiliation>
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                <creator>
                  <creatorName nameType="Personal">Stork, Christiane</creatorName>
                  <givenName>Christiane</givenName>
                  <familyName>Stork</familyName>
                  <nameIdentifier nameIdentifierScheme="ORCID">0000-0003-3176-4305</nameIdentifier>
                  <affiliation>TU Wien</affiliation>
                </creator>
                <creator>
                  <creatorName nameType="Personal">Hasani-Mavriqi, Ilire</creatorName>
                  <givenName>Ilire</givenName>
                  <familyName>Hasani-Mavriqi</familyName>
                  <affiliation>TU Graz</affiliation>
                </creator>
                <creator>
                  <creatorName nameType="Personal">Molnar, Derek</creatorName>
                  <givenName>Derek</givenName>
                  <familyName>Molnar</familyName>
                  <affiliation>TU Wien</affiliation>
                </creator>
                <creator>
                  <creatorName nameType="Personal">Thaci, Laura</creatorName>
                  <givenName>Laura</givenName>
                  <familyName>Thaci</familyName>
                  <affiliation>TU Graz</affiliation>
                </creator>
                <creator>
                  <creatorName nameType="Personal">Futterer, Valentin</creatorName>
                  <givenName>Valentin</givenName>
                  <familyName>Futterer</familyName>
                  <affiliation>TU Wien</affiliation>
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              <titles>
                <title>Building a bridge to the future of machine-actionable DMP tools with DAMAP</title>
              </titles>
              <publisher>TU Wien</publisher>
              <publicationYear>2025</publicationYear>
              <dates>
                <date dateType="Issued">2025-02-18</date>
                <date dateType="Other" dateInformation="presented at the Cluster Forschungsdaten EXPO 2025">2025-01-16</date>
                <date dateType="Updated">2025-06-05</date>
              </dates>
              <language>eng</language>
              <resourceType resourceTypeGeneral="Text">Poster</resourceType>
              <relatedIdentifiers>
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              </relatedIdentifiers>
              <rightsList>
                <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode" rightsIdentifierScheme="spdx" rightsIdentifier="cc-by-4.0">Creative Commons Attribution 4.0 International</rights>
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                <description descriptionType="Abstract">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.</description>
              </descriptions>
              <fundingReferences>
                <fundingReference>
                  <funderName>European Commission</funderName>
                  <funderIdentifier funderIdentifierType="ROR">00k4n6c32</funderIdentifier>
                  <awardNumber>grant agreement No. 101130187</awardNumber>
                  <awardTitle>OSTrails – Open Science Plan-Track-Assess Pathways</awardTitle>
                </fundingReference>
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                  <funderName>Federal Ministry of Education, Science and Research</funderName>
                  <funderIdentifier funderIdentifierType="ROR">03gng8t46</funderIdentifier>
                  <awardNumber>XXX</awardNumber>
                  <awardTitle>Shared RDM Services and Infrastructure</awardTitle>
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