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PID kernel information and the Social Sciences RDA Collaboration - PowerPoint PPT Presentation

PID kernel information and the Social Sciences RDA Collaboration Project PITSS (PID Information Types for the Social Sciences) Ren van Horik / Vyacheslav Tykhonov @DANSKNAW September 22, 2017. WG PID Kernel Information @ RDA Plenary,


  1. PID kernel information and the Social Sciences RDA Collaboration Project – PITSS (PID Information Types for the Social Sciences) René van Horik / Vyacheslav Tykhonov @DANSKNAW September 22, 2017. WG PID Kernel Information @ RDA Plenary, Montreal. dans.knaw.nl DANS is an institute of KNAW and NWO

  2. Outline of presentation 1. Context 2. PITSS Project 3. PID Profiles for social science data sets 4. Next steps

  3. Context DANS -> Trusted Repository for social science data sets Social Science data sets: - Surveys - Qualitative data - Longitudinal aspect - Standard: DDI (data documentation initiative) - Curated by social science data archives (related to CESSDA) CESSDA ERIC -> European Social Science Data Infrastructure (16 members) CESSDA Working group on PIDs - Formulation of PID policy - Best practices

  4. PITSS Project (PID Information Types for the Social Sciences) • RDA Collaboration project • May – December 2017 • Aim: to introduce and assess RDA outcomes in the field of PIDs into the social science research community, more specifically the European CESSDA research infrastructure • Create 1 or 2 PID Profiles (A PID profile is a minimal set of information associated with each PID. This “kernel metadata” can be used to manage the data object, to discover clients and facilitate data reuse) • Activities - Workshop (29/ 30 May, The Hague) - Presentations - PID profiles - Report

  5. PID Profiles for the social sciences Some issues: Rationale for PID Profiles and applicability in social sciences - Fast filtering in huge number of objects - Is this applicable in the social science domain? Type Registry (to register data types) - Using ”typeregistry.org” for experiments - How to move to a sustainable registry for the social science domain?

  6. Property Identifiers Based on the discussion in the workshop the following Property Identifiers were formulated • W asDerivedFrom (Facet that describes where the dataset was derived from) • LicenceFlag (Facet that describes if dataset has open or restricted access) • I sChild (Facet that describes if dataset is original itself or has a parent. If it was nested it will point to the original dataset) • MultipleI nheritance (Facet that describes if dataset has a inheritance with multiple children) • HasMetadata (Facet that indicates that digital object has extended metadata)

  7. Property Identifier in JSON format (example) { 13: 55" } "identifier": "", } , ] "name": " W asDerivedFrom ", “representationsAndSemantics” : [ { } , "description": "Facet that describes where “expression”: “Format”, { the dataset was derived from.", “value”: “PROPERTY_DEFINITION” "name": "Parent", "standards": [ } ] , "identifier": { "11314.3/ f9e66e5f64ba3179d8f1e64138c69e "expectedUses": [ 04" "issuer": "", "In case of dataset has multiple } "name": "", children." ] , "natureOfApplicability": "extends" ] , "relationships": [ } "representationsAndSemantics": [ { ] , { "name": "has-relation", "provenance": { "expression": "", "relativeNames": [ "contributors": [ "value": "" "Parent", “Child” { } ] "identifiedUsing": "Text", ] , } "name": "Vyacheslav Tykhonov" "properties": [ ] } , { } { "name": "Child", "identifiedUsing": "Text", "identifier": "11314.3/ f8db9e3b5f97aa8168fbd597884763 "name": "Rene van Horik" 75", } "representationsAndSemantics": [ ] , { "creationDate": "2017-09-14 13: 55", "expression": "", "lastModificationDate": "2017-09-14 "value": ""

  8. Next steps • Discuss / evaluate outcomes in CESSDA WG on PIDs • Concept of PID Kernel is very abstract for social science community • Not clear how PID Kernel information / Type Registry fits in social science infrastructure • Monitor / contribute to RDA initiatives on PIDs

  9. Thanks for your attention rene.van.horik@dans.knaw.nl Twitter: @DANSKNAW dans.knaw.nl/ en dans.knaw.nl DANS is an institute of KNAW en NWO

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