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Science in the open, what does it take?

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Presented at the OHSU Data Jamboree in honor of Open Data Data, focused on contributing to the Data Rescue initiative. March 3rd, 2017.

Publié dans : Sciences
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Science in the open, what does it take?

  1. 1. SCIENCE IN THE OPEN, WHAT DOES IT TAKE? MELISSA HAENDEL DATA JAMBOREE MARCH 3RD, 2017 @ontowonka
  2. 2. THERE ARE OVER 1500 PUBLIC DATABASES IN NUCLEIC ACIDS RESEARCH DATABASE COLLECTION https://doi.org/10.1093/nar/gkw1188
  3. 3. HOW MANY OF THESE ARE TRULY OPEN? OPENNESS IS AN NAR REQUIREMENT, BUT …
  4. 4. OPEN DATA IS FAIR DATA http://www.nature.com/articles/sdata201618 Findable Accessible Interoperable Reusable
  5. 5. ANATOMY OF FAIRNESS Metadata Identifiers Registration Preservation Standards McMurry et al Identifiers for the 21st century bit.ly/identifiers-revision-2017
  6. 6. WHAT MAKES DATA FAIR: FINDABLE F1. (meta)data are assigned a globally unique and persistent identifier F2. data are described with rich metadata (defined by R1 below) F3. metadata clearly and explicitly include the identifier of the data it describes F4. (meta)data are registered or indexed in a searchable resource
  7. 7. WHAT MAKES DATA FAIR: ACCESSIBLE A1. (meta) data are retrievable by their identifier using a standardized communications protocol A1.1 the protocol is open, free, and universally implementable A1.2 the protocol allows for an authentication and authorization procedure, where necessary A2. metadata are accessible, even when the data are no longer available
  8. 8. WHAT MAKES DATA FAIR: INTEROPERABLE I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (meta)data use vocabularies that follow FAIR principles I3. (meta)data include qualified references to other (meta)data
  9. 9. WHAT MAKES DATA FAIR: REUSABLE R1. meta(data) are richly described with a plurality of accurate and relevant attributes R1.1. (meta)data are released with a clear and accessible data usage license R1.2. (meta)data are associated with detailed provenance R1.3. (meta)data meet domain-relevant community standards
  10. 10. LETS CALL OUT A FEW MORE THINGS. https://zenodo.org/record/203295
  11. 11. Findable Accessible Interoperable Reusable FAIR-TLC Traceable Licensed Connected
  12. 12. FAIR-TLC: TRACEABILITY T1: Provenance The data’s provenance is well documented and attributed (the data within the resource) T2: Attribution The contributions to the content (data, tools, algorithms, sources, etc.) are clearly declared. Documentation on how to cite a record from a source or the whole resource
  13. 13. FAIR-TLC: LICENSURE http://peterdesmet.com/posts/analyzing-gbif-data-licenses.html Not all data resources are free to use, derive, and redistribute, even if they are publicly funded and seemingly publicly available.
  14. 14. FAIR-TLC: CONNECTED BECAUSE AGGREGATED != INTEGRATED
  15. 15. FAIR-TLC AS AN EVAL RUBRIC Room for improvement bit.ly/open-science-prize Open imaging
  16. 16. DISCUSSION: HOW DO WE DO BETTER? Make the right thing the easy thing: - Carrots: - Tenure & promotion cycles - Dedicated funding for increasing FAIR- TLC - Sticks: - Publication requirements - Funding requirements - Tools: - Tracking tools - Documentation tools
  17. 17. FAIR-TLC = OPEN SCIENCE Findable Accessible Interoperable Reusable Traceable Licensed Connected Coming soon reusabledata.org

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