Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2561
Title: DAMAP: a tool for machine-actionable Data Management Plans
Authors: Molnar, Derek 
Miksa, Tomasz 
Stork, Christiane 
Futterer, Valentin 
Thaci, Laura 
Hasani-Mavriqi, Ilire 
Eckhard, David 
Keywords: current research information systems;research data management;Data Management Plan (DMP);machine actionable
Issue Date: 15-May-2024
Publisher: euroCRIS
Series/Report no.: CRIS2024: 16th International Conference on Current Research Information Systems (Vienna, Austria, May 15-17, 2024)
Conference: CRIS2024 – Vienna 
Abstract: 
Background
• A data management plan (DMP) is a structured guide which keeps a record of what research data is created and what happens to that data during and after a project.
• A basic DMP tool guides researchers through the creation of a DMP

Problem
• Many DMP tools are not fully developed. They:
-Do not realize the full potential of integration with CRIS, resulting in additional work for the research team to fill out their DMP.
-Have little or no machine-actionability, meaning there is limited potential for other systems to access the data, unnecessarily restricting the sharing of data.
-Duplicate questions within the tool and have no methods for guiding the user through completing a complex DMP.
-Are often difficult to use and customize.
Description: 
Extended abstract presented as a poster at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programme
URI: http://hdl.handle.net/11366/2561
Appears in Collections:Conference

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Molnar-et-al_CRIS2024_poster_DAMAP-tool-machine-actionable-DMPs.pdfPoster (PDF)316.93 kBAdobe PDF
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