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Presentatie Pearl Dykstra presentatie

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Presentatie van het Datacongres ''data science voor maatschappelijke uitdagingen'' op 22 november 2018

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Presentatie Pearl Dykstra presentatie

  1. 1. Pearl A. Dykstra ScienceWorks Conference, 22 November 2018
  2. 2. 2 Reuse of public data in the Netherlands Robust statistical information for generating scientific knowledge to help improve the evidence base for government policy
  3. 3. 3 ADVISORY GROUP CHAIR • Prof. Pearl Dykstra, Empirical sociology, EUR Members • Prof. Dorret Boomsma, Behavioral genetics, VU • Prof. Lude Franke, Systems genetics, UMCG • Prof. Wilco Hazeleger, Director eScience center/ WUR • Prof. Pieter Hooimeijer, Human geography and demography, UU • Prof. Bert-Jaap Koops, Regulation and technology, TiU • Prof. Johan Mckenbach, Medical, biomedical and health Sciences, ErasmusMC Secretary • Dr. Ans Vollering, senior-policy officer KNAW
  4. 4. 4 ARE PUBLIC DATA FAIR? OBSTACLES FOR SCIENTIFIC RESEARCHERS • Findable? Few datasets have persistent identifiers • Accessible? Reluctance to share data given concerns about a.o. - privacy - data quality - costs / manpower - citizen claims • Interoperable? - non-machine readable - incompatible ICT systems • Reusable? - aggregate rather than ‘raw’ data
  5. 5. 5 KEY FINDINGS • No formal barriers for making public data available to scientific researchers • The term “open” data is confusing, given the connotations of being - free - and widely available on the internet • Several exemplary models, e.g. INSPIRE (environmental data), Statistics Netherlands (micro data)
  6. 6. 6 RECOMMENDATIONS (1) National government: Appoint Chief Public Data Officer* • Develop, harmonise, and monitor procedures to actively make public data accessible for reuse • Initiate requests for public data sets in the scientific community * Via the “Data and government” steering group at the Ministry of the Interior and Kingdom Relations?
  7. 7. 7 RECOMMENDATIONS (2) All government organisations • Make data Findable, Accessible, Interoperable, Reusable via national hubs • Report annually on progress • Charge only marginal costs for making data available to scientific researchers, using a transparent cost structure • Train and appoint data stewards
  8. 8. 8 RECOMMENDATIONS (3) Statistics Netherlands and Ministry of Economic Affairs and Climate Policy • Further develop legal framework for private organisations fulfilling a public role (e.g. health insurance) to deliver their data to Statistics Netherlands
  9. 9. 9 RECOMMENDATIONS (4) Scientific researchers • Request data from governmental organisations • Publish findings using a uniform resource identifier (URI) for the data • Report how having the data has contributed - to better science - to better policy

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