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A Blueprint for the Research Data Landscape


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Keynote presentation at 2020 NIH/NLM workshop on generalist repositories. Central themes include software as a richer pathway to data than articles, the development of new metrics for software (such as the CHAOSS framework), working with the technology companies through organizations like the Eclipse Foundation, and the importance of linked data. In particular, the concept of the "value line" as a means to map generalist repositories represents an important opportunity.

Published in: Data & Analytics
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A Blueprint for the Research Data Landscape

  1. 1. A Blueprint for the Research Data Landscape Sayeed Choudhury (@eSayeed) Johns Hopkins University NIH/NLM Workshop on Generalist Data Repositories February 11, 2020
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  4. 4. Research Data Landscape
  5. 5. Data is the new oil… Software is the new refinery Paper Data Software
  6. 6. Coopetition
  7. 7. What is below the value line? • Terms and conditions, Terms of Service – especially as they relate to indemnification, loss of data, re-identification, security, unauthorized access… • Review processes for restricted or protected data • Identifiers • Core metadata
  8. 8. What is above the value line? • Identifier resolution • Specific metadata profiles • Dashboards • Discovery • Visualization • Analytics • Linked data
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  10. 10. Research Data Landscape Blueprint • Guide to repositories with information about adherence to requirements below the value line and description of capabilities above the value line • Mechanisms (such as linked data) to understand connections between repositories and to empower greater connections via machines • Putting the citizen at the center of the landscape