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Understanding Data Provenance and Management in Higher Education – The HESA Pilot Project

The HESA Pilot Project aims to explore the significance of data provenance and management as data transitions between sources within higher education institutions (HEIs). By investigating data's lifecycle—how it's altered or corrupted in transit—the study seeks to verify and confirm the reliability of data used in the HESA Student Record. The project includes desktop reviews, stakeholder interactions, and tracking of diverse data items to establish trust in information supplied and used for the Higher Education sector.

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Understanding Data Provenance and Management in Higher Education – The HESA Pilot Project

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  1. MIAP HESA PilotWarping the DataJane Wild The University of Leicester 17 March 2010

  2. Warping the Data • Outline of pilot project • Benefits • Methodology • Timescale • Resources

  3. Outline of pilot project • To understand the significance of provenance and management of data as it ‘moves’ from an original source in and around the sector • How is data changed, edited or even corrupted in transit? • Why does this happen? • Is change legitimate? • If not, can ‘warping’ be avoided?

  4. Benefits • HEIs will have dual roles as both users and suppliers of data directly or indirectly for the PLR; so need • trust that the information received is fit for purpose • confidence that the information provided is transferred reliably and used appropriately • Gain understanding of existing techniques for verifying data and the implications for making use of the ULN and PLR

  5. Methodology • To track the routes of a selection of data items into the HESA Student Record • items sourced in different ways • items transferred between a number of suppliers and users on route • Select data items of different ‘types’ • Undertake desktop review • Interact with both source and destination organisations

  6. Types of data

  7. Methodology • To track the routes of a selection of data items into the HESA Student Record • items sourced in different ways • items transferred between a number of suppliers and users on route • Select data items of different ‘types’ • Undertake desktop review • Interact with both source and destination organisations

  8. Methodology contd. • Identify a sample of named individuals who give permission for their data to be tracked • Employ an individual to investigate the ‘life cycle’ of the selected data items • through interaction with organisations • and with reference to the data subjects • Identify where the existence of the PLR might have an impact

  9. Timescales - 2010 • April – recruit investigator and data subjects • May to August – desk exercise and fieldwork • September – write up pilot study outcome report

  10. Resources • Data investigator -HESA staff backfilled • Data subjects - recent graduates working in sector • Supervision - HESA staff • Co-operative organisations - incl. HEIs and UCAS • Support from MIAP and JISC teams • Funded by HEFCE/JISC

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