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QUADS Co-ordination

QUADS Co-ordination. Louise Corti QUADS Director, UKDA 28 September 2006. QUADS Aims. Demonstrator Scheme for Qu alitative A rchiving and D ata S haring

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QUADS Co-ordination

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  1. QUADS Co-ordination Louise Corti QUADS Director, UKDA 28 September 2006

  2. QUADS Aims • Demonstrator Scheme for Qualitative Archiving and Data Sharing • part of the ESRC's initiative to increase the UK resource of highly skilled researchers, and to fully exploit the distinctive potential offered by qualitative research and data • main aim to develop and promote innovative methodological approaches to and new models for the archiving, sharing, re-use and secondary analysis of qualitative research and data • aim to disseminate good practice in qualitative data sharing and research archiving

  3. QUADS Objectives • develop new models of qualitative research archiving and data sharing which tackle in innovative ways the epistemological, ethical, methodological and practical challenges raised by the re-use and re-analysis of qualitative material, and which explore ways of improving the quality of contextual information • models may be of temporary, local or thematic archivingfor example, which should complement the ESDS Qualidata approach, and of new or existing research collaborations - locally, nationally or internationally

  4. QUADS Objectives • draw primarily on existing qualitative research and data sets of a range of types. May also involve a combination of qualitative and quantitative approaches • encourage researchers to explore the use of stored and shared video, visual and audio data sets • promote understanding of the potential benefits and challenges of information and communication and e-science technologies in relation to media shifts and the changing nature of qualitative research

  5. QUADS Objectives • explore and extend the relationship between qualitative data producers, users and re-users and to demonstrate innovative and effective practice in these domains • encourage the involvement of non-academic users and potential users of qualitative methods in opportunities to be methodologically innovative and to widen understanding in non-academic communities of the value and uses of qualitative data

  6. QUADS Objectives • promote innovative ways of speeding the process of adoption of methodological advances in relation to qualitative research archiving, data sharing, re-use and re-analysis, particularly in the transfer of experience between researchersoperating in different substantive research areas and national research communities, and in the training of new researchers • encourage networking and interchange

  7. Awards £500,000 over 18 months: 6 awards – 5 demonstrators + coordination role • Representing Context in a Research Archive of Educational Evaluation Studies P. Carmichael, M. James, J. Elliot and D. Bridges (Cambridge & UEA) • Smart Qualitative Data: Methods and Community Tools for Data Mark-Up(SQUAD) L. Corti and C. Grover (Essex & Edinburgh) • Negotiating the Long View: Archiving, Representing and Sharing a Qualitative Longitudinal Resource S. Henderson, J. Holland and R. Thomson (South Bank) • Methodological issues in qualitative data sharing and archiving A. Coffey, B. Dicks and M. Williams (Cardiff) • Collating and Preserving Primary Material on the Northern Ireland Conflict R. Miller and M. Melaugh (Queen's & Ulster) • QUADS Coordination L. Corti (Essex)

  8. Relationship to ESDS Qualidata • ESDS Qualidata, through the UKDA, currently provides the ESRC RRB strategy for archiving, accessing and supporting users of qualitative research data • QUADS’ outputs and workable models will link into and inform ESDS Qualidata’s forward-thinking strategy and help set future priorities • relatively small budget, small team, with limited funding • not funded to do R&D work within current budget • focus on getting whole or partial (highlights) collections digitised and web-accessible • strong emphasis on developing community standards for describing data/metadata, but not well-resourced to do this • limited focus onhelping provide better context to inform re-use

  9. Common ground • selection, sorting, cleaning and preparation of archives • systematically describing what’s in this box/these boxes • Metadata and domain specific ontologies • web and metadata standards and compliance • defining and capturing data and research context • re-presentation of archives – including audio visual objects • consent, confidentiality and IPR • Sustainability of resources, technologies and tools

  10. working with • e-social science • computer scientists in NLP/ JISC Centre for Text Mining • international data archiving communities • metadata experts • Oxford Text Archive • digital preservation experts • National Centre for Research Methods • etc

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