Data quality, preservation and access: a DANS perspective
- 1. www.dans.knaw.nl DANS is an institute of KNAW and NWO Data quality, preservation and access: a DANS perspective Ingrid Dillo, DANS PERICLES reuse of science data Meeting 4, 21 June 2016
- 2. EASY: long-term Electronic Archiving System for self-deposit NARCIS: Gateway to scholarly information In the Netherlands Core services DataverseNL for short/intrmediate term storage
- 3. Training & Consultancy Persistent Identifier URN:NBN resolver Additional services Common metadata harvester Cradle of the Data Seal of Approval Background Archive
- 4. Data quality Data is generally considered high quality if, they are fit for their intended uses in operations, decision making and planning.
- 5. Data quality in science Technical aspects of data quality: • Sustainable file formats • Adequate metadata and documentation • Completeness of the data • Integrity, authenticity, provenance
- 6. Data fitness Scientific quality of the data – assessment of the reusability of the data Criteria: • Peer review • Curation • Annotation • Citability (PID) • Certified TDR How to make this transparant: tagging system?
- 10. Data preservation Data selection Preferred formats Metadata
- 11. “Archief van de toekomst” Werkgroepje met Maarten, Christophe, Herbert: - kerndiensten onderling beter laten aansluiten - overlap zoveel mogelijk wegsnijden - meer fasen van de onderzoeksproces (en de “data- kringloop”) ondersteunen - systeem voor archiefmanagement loskoppelen van opslag - betere ondersteuning van linked data en software The archive of the future
- 12. EASY: long-term Electronic Archiving System for self-deposit NARCIS: Gateway to scholarly information In the Netherlands Core services DataverseNL for short/intrmediate term storage
- 13. Better alignment of core services EASY 3 archival management system NARCIS (more content) Dataverse (or another short/medium term archive) • Registration • Portal for searching and finding • Statistics & visualisation Auto ingest Metadata harvesting? Let die away: • data upload • datasearch Agnostic concerning: • identifier • metadata • licenses Also for DANS a Dataverse for data upload Auto ingest from elsewhere EASY storage dark storage Third party storage Suitalbe for: • linked data • software Metadata harvesting Quality of sustainability and content