Connecting Data Repositories and DMP Tools using maDMPs

DOI

Overview Data management plans (DMPs) are a relevant part of modern research. They contain information about the datasets produced and used in research projects and are often a requirement by funders for research projects.As such, systems for managing these DMPs are becoming increasingly common at research organizations.On the other hand, we have data repositories where datasets are often deposited and made available for sharing with other researchers.At TU Wien and TU Graz, we are using the open-source tools Damap and InvenioRDM for these purposes, respectively. Naturally, the DMP tool would often reference datasets stored in the data repository, and the data repository would have additional information about the datasets that could be used to enrich the DMPs (such as the licenses assigned to the datasets, etc.).As of right now however, these systems don't communicate with each other and information is usually required to be manually entered separately in both systems.This is not only tedious and inefficient, but also offers unnecessary potential for inconsistency. In 2020, Haplo (now known as Cayuse) integrated DMPs as first-class citizens into their research data repository, to minimize this sort of friction for the users of their repository. In contrast, we aim to create an integration between our two separate standalone systems which enables propagation of information from one system to the other in order to achieve a similar goal.For this integration, we extend the APIs of both systems with endpoints that utilize the RDA DMP Common Standard for machine-actionable DMPs (maDMPs) for their communication.Using this service-agnostic community standard allows us to extract a general communication protocol that can be used to integrate any data repository with any DMP tool in the future. Since previous work has shown that full continuous synchronization of information between the two separate systems is difficult to achieve, we limit the scope of the integration to one-way updates for now. With our poster, we intend to show the current state of the integration and the details about the communication, as well as a glimpse into our vision of its future. Further details The poster was presented during the International Data Week 2023 in Salzburg, Austria.

Identifier
DOI https://doi.org/10.48436/nkfb5-dhk30
Related Identifier IsReferencedBy https://www.rd-alliance.org/rdas-21st-plenary-poster-exhibition
Related Identifier IsVersionOf https://doi.org/10.48436/ccac4-54s37
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:nkfb5-dhk30
Provenance
Creator Moser, Maximilian; Miksa, Tomasz ORCID logo; Eckhard, David
Publisher TU Wien
Publication Year 2023
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Language English
Resource Type Poster; Text
Version 1.0.0
Discipline Other