Engaging Researchers in RDM Workflow Challenges

 
Learning through collaboration: Challenges and opportunities
to engage researchers in na RDM workflow
 
João Aguiar Castro
 
RDA 16th Plenary, 2020
 
 
2
 
TAIL Project
 
Introducing tools in the data life-cycle to engage researchers in RDM
 
3
 
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Domain-specific metadata models formalized as lightweight ontologies
 
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Researcher feedback is essential to define domain-specific metadata models
 
 
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Approach evaluated in 3 domains that generate experimental data.
Data curator becomes familiar with the domain.
 
6
 
Learning scenario for (potential) curators and researchers
 
7
 
Researchers engaged in data description sessions
 
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
 
joaoaguiarcastro@gmail.com
 
 
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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.

  • Collaboration
  • Research Data Management
  • Metadata Creation
  • Communication Improvement
  • Researcher Engagement

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  1. Learning through collaboration: Challenges and opportunities to engage researchers in na RDM workflow Jo o Aguiar Castro RDA 16th Plenary, 2020

  2. TAIL Project Introducing tools in the data life-cycle to engage researchers in RDM 2

  3. 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

  4. Researcher feedback is essential to define domain-specific metadata models 4

  5. 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

  6. Learning scenario for (potential) curators and researchers 6

  7. Researchers engaged in data description sessions 7

  8. 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

  9. joaoaguiarcastro@gmail.com

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