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Data sharing in the public sector in Denmark A pilot project with the Danish Universities

Learn about a pilot project with Danish universities, key stakeholders, values, and the data sharing process. Explore the current situation, the proposed 2-step process, possible platforms, and a 2-step data collection process. Discover the setup with Statistics Denmark and relevant statuses.

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Data sharing in the public sector in Denmark A pilot project with the Danish Universities

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  1. Data sharing in the public sector in DenmarkA pilot project with the Danish Universities Annie Stahel, CIO, Statistics Denmark

  2. The changing environment for official statistics Data sharing for the 8 universities in DK Parties involved in the data sharingprocess: • The Ministry of Research and Education • Statistics Denmark • 8 universities

  3. The premises for data sharing • Data that has beencollected for the purpose of statisticsmay not beused for other purposes, e.g. administrative purposes • The data ownercandecidethingsabout the data handler and authorize / instructhim in differentways (data collectione.g.) • Data sharing is a process where one data collection channel is used for collection of data. • Afterwards, data can be utilized for statistical and administrative purposes in two different and segregated environments

  4. Values at Statistics Denmark Core Values • Independence • Trustworthiness • Data protection • User orientation Values thatDST wantsto strengthen • Adaptability • Holistic approach • Openness Data sharing: data protection vs. openness

  5. Current situation – the statistical purpose • Universities deliver student record data to DST • DST willwork with data, fill out holes in the curricula, detecterrors and assign students to the correctuniversity if present at two institutions • The Ministry of Research and Education will grant the funding and finances to the universities on the basis of thiscorrected data. • But the universities themselves are not allowed to seethis data. Because it may not beused for administrative purposes.

  6. Data sharing – the idea • The idea is to break the (legal basis for) data handling into a 2-step process • A (generic) solution for datasharing processes where data security is not compromised • The model ensures segregation between data and access to the variousenvironments • Can beenforcedwithouta total explosionof licensecosts • The solution establishes a separate environmentwherestatisticians log in and work with the specific data using a separate logonidentity / role

  7. Possible platforms & solutions 2: Totallyseparate & segregated environment Rathercostly 1: Internalstatistical environment at Statistics Denmark Recommended by law firm Not recommended by law firm Firewall 3: Segregatedfrom statistical production Embedded in existing research environment Acceptable expenses Recommended by law firm

  8. Collection of data – a 2-step process • DST willcollect data from the Universities on behalfof and afterauthorisation by the data owner – the Ministry of Research and Education • DST willcarry out basic editing and errordetectionwithoutusing back end data or existing back end systems – onlyexpertise • DST will deliver data back to Universites on a microlevel. Theycanuse the data for administrative purposes since the data has not changed intostatistical data yet • DST willalso forward data into the statistical production line afterauthorisation by the data owner as usual

  9. Set up with DST in data processing and data controlling function, respectively 1: Authority handles over data to DST for administrative purposes – for data processing 1 The data controlling authority DST as data controller DST as data processor 3: Authority handles over data to DST for statistical purposes 2 2: DST delivers data back to Authority

  10. Segregation of data flow + environments University-1 University-2 University-3 Data Collection Administrative data Data for Statistical purposes Corrected data for the universities Statistics Denmark as data processor on behalf of data owner Statistics Denmark as producer of statistics

  11. Status and process • The legal staff at the Ministry have approvedthisconstruction • The Universities have agreed upon it. Theyareveryeager to have theircorrected data back • The set up is ready at the moment; the Ministry is evaluating it beforeaccess to data is given to the universities

  12. The three presentations in this slot:The changing environment for official statistics • Data sharing • Official statistics as a safeguard against fake news • A quality framework for official statistics in Sweden

  13. Thank you! Questions?

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