Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Presentatie Pearl Dykstra presentatie


Published on

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

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

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