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GSIM in practice in Norway Jenny Linnerud – Ørnulf Risnes – Arofan Gregory -

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Presentation on theme: "GSIM in practice in Norway Jenny Linnerud – Ørnulf Risnes – Arofan Gregory -"— Presentation transcript:

1 GSIM in practice in Norway Jenny Linnerud – jal@ssb.nojal@ssb.no Ørnulf Risnes – ornulf.risnes@nsd.uib.noornulf.risnes@nsd.uib.no Arofan Gregory - arofan.gregory@earthlink.netarofan.gregory@earthlink.net WORKSHOP ON INTERNATIONAL COLLABORATION FOR STANDARDS-BASED MODERNISATION - Topic (ii)5-7 th May 2015

2 Remote Access Infrastructure for Register Data (RAIRD) Statistics Norway and the Norwegian Social Science Data Services (NSD) aim to establish a national research infrastructure providing easy access to large amounts of rich high-quality statistical data for scientific research, while at the same time managing statistical confidentiality and protecting the integrity of the data subjects. The work is organized as a project, RAIRD – Remote Access Infrastructure for Register Data, and funded by the Research Council of Norway. See: www.raird.no www.raird.no

3 RAIRD Information Model (RIM) RIM is an implementation of the Generic Statistical Information Model (GSIM) v1.1. We have based RIM on the GSIM Design Principles RIM extends GSIM with 27 Information objects that are mainly specialisations e.g. to include different types of agents (producers, administrators and researchers) RAIRD is a project that is still in progress with completion planned in 2017.

4 Load API SSB Data Mgt. System Event History Data Store Data Catalogue Virtual Statistical Machine Disclosure Control System Analysis Data Set User Operations Provisional Output Final Output User Views Event History Input Data Set Input Metadata Set Browser Browse Data Catalogue Browser VIRTUAL RESEARCH ENVIRONMENT Overview of the main components

5 RAIRD Processes Load Event History Store Query and Extraction – Query Formulation – Data Extraction Statistical Operations Disclosure Control Accreditation of Institutions and Users* User Management and Authentication* * These are not statistical processes, and thus do not use the GSIM process model objects

6 Datum Each observation (datum) has a rich context 35 Time Period Source/ quality Cell-notes Unit type Sensitivity Value domain Visibility Conceptual domain Version

7 Research Institution Accrediting Organization Submits accreditation request Request denied (with rationale) Request approved, sends access agreement Access agreement accepted Request for user or project access (with user details) Request denied (with rationale) Request approved Record Institutional Accreditation Set up project and user “spaces”, provide username and password, etc.

8 Metadata Researcher cannot see the data Metadata is the interface to the data Metadata

9 Disclosure Control Rule Provisional Output applied to Disclosive Data Item Disclosive Data Item Combination Non- Disclosive Data Item has groups identifies groups has Disclosure Risk Assessment produces

10 Analyse data

11 The Researcher in Statistics Norway’s Business Process Model Blue – SSB Green – Researcher


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