Engaging Researchers in RDM Workflow Challenges
Collaborating on Research Data Management (RDM) workflows presents challenges and opportunities for researchers. Learn how to improve communication, create quality metadata, and enhance collaboration through tools and feedback. Discover practical strategies to boost RDM awareness and skills among researchers and data curators.
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Presentation Transcript
Learning through collaboration: Challenges and opportunities to engage researchers in na RDM workflow Jo o Aguiar Castro RDA 16th Plenary, 2020
TAIL Project Introducing tools in the data life-cycle to engage researchers in RDM 2
Metadata Metadata creation creation as as an an input input activity activity to RDM to RDM Domain-specific metadata models formalized as lightweight ontologies 3
Researcher feedback is essential to define domain-specific metadata models 4
Need Need to improve to improve communication communication. . Approach evaluated in 3 domains that generate experimental data. Data curator becomes familiar with the domain. 5
Learning scenario for (potential) curators and researchers 6
Conclusions Lack of RDM awareness is both a challenge (communication) and an opportunity (enhance skills and foster motivation); Overall, researchers create quality metadata if tools are available; Communication improved overtime. Simple and realistic activities, complemented with practical examples; DMP development is a good way to strengthen collaboration between training curators and researchers. 8