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Community Capability Model for Data-Intensive Research An archaeological case-study

Community Capability Model for Data-Intensive Research An archaeological case-study . Graeme Earl Archaeological Computing Research Group & Digital Economy University Strategic Research Group. Archaeology: data-intensive research.

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Community Capability Model for Data-Intensive Research An archaeological case-study

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  1. Community Capability Model for Data-Intensive ResearchAn archaeological case-study Graeme Earl Archaeological Computing Research Group & Digital Economy University Strategic Research Group

  2. Archaeology: data-intensive research • Big Data research: capture (e.g. CT) & processing (e.g. HPC) • Workflows and provenance • Citation of data • Interlinking data and publication • Retention and migration • Deposit/ Self-deposit • Exposure: Semantic Web

  3. AHRC Portus Project • 2007-11 AHRC Portus Project • 2011-2014 AHRC Portus in the Roman Mediterranean Project • Excavation, Survey, Geophysics, Finds Analysis • Computer graphic simulation; field data capture and processing; data management

  4. Portus and the Tiber Valley

  5. Institutional Data Management Blueprint Produce framework for managing research data for an HEI Scope and evaluate a pilot implementation plan for an institution-wide data model 6

  6. Key Findings • Group research practice is embedded and unified • Group data management capabilities vary widely • Data management is carried out on an ad-hoc basis in many cases • Researchers’ demand for storage is significant • Users want more support for backup, particularly for large quantities of data • Researchers resort to their own best efforts in many cases, where central support does not meet their needs

  7. Key Findings • Researchers want to keep their data for a long time • There is a need from researchers to share data, both locally and globally • Data curation and preservation support needs to be improved • Data can be BIG • Project management is part of the data cycle

  8. Portus data requirements analysis • Data integration • Data volume • Data variety • Data management (versioning, migration, linking) • Fit to archaeological practice • Context • Finds • Field practice • Technological practice

  9. Portus Data Guidance • Archaeology Data Service – Guides to Good Practice; Deposit • CIDOC CRM • The English Heritage STAR project • The Forum for Information Standards in Heritage (FISH) • MIDAS XML schema • JISC INCREMENTAL and SUDAMIH • Temporal period metadata: English Heritage Timelines Thesaurus; COMMONERAS • Asset management: JISCDIGITALMEDIA; EXIF, XMP or IPTC data • Getty Art and Architecture Thesaurus • Collections Trust’s Archaeological Objects Thesaurus are used. • Archaeological geospatial data: UK GEMINI (Geo-spatial Metadata Interoperability Initiative) • Geophysical data: English Heritage Geophysical Survey Database • Laser scanning data: Laser Scanning Addendum to the Metric Survey Specification (Heritage3d.org); 3D-COFORM • Reflectance Transformation Imaging: CHI and AHRC RTISAD (Empirical Provenance)

  10. How address human factors holding research back? • Skills: Broad range of archaeologically specific courseware, exemplars and best practice guidance • Legal: Remains problematic but increasing support and expectation of data sharing from administration • Collaboration: archaeology is collaborative from the ground up • Closed/ Open: Archaeology is at a cross-roads; funding means that open-ness is likely to be the only option but disciplinary cultures need to be addresses; strong open community • E.g. research by Leif Isaksen on Roman Port Networks

  11. How address economic factors holding research back? • Sustainability: Research council funding and mandate: institutional and disciplinary repositories; user-focussed tools • Operational costs: complex issue, being addressed at Institutional level e.g. policy re: disciplinary curation • Transactional costs: limited attempts to operate a pay model for data transactions in archaeology: some museum and media related; open model dominating current work

  12. How address technical factors holding research back? • Standards: CIDOC CRM/ CRM-EH, FISH etc. – embedding in technology and data uptake key • Access and exposure: Linked Open Data; green or gold open access • Platforms and tools: broad range, but increasing trend towards standardisation

  13. Portus in SharePoint 2010 • Archaeology Sharepoint Pilot (Metadata and Visualisation Component)

  14. Virtual Research Environment (VRE)Toolkit for SharePoint • SES Sharepoint Pilot (Project Management)

  15. DepositMO Project Overview Embed deposit culture into everyday work of researchers Turn repositories into an extension of the desktop Extend Microsoft Office Target ePrintsand Dspace Enable repository deposit as part of everyday workflow

  16. Future for Portus Data • Planned for deposit from the start of the AHRC Portus Project • Complete migration to partnership: Sharepoint archive and ARK database • Strategies for big data • Strategies for integrated workflows Scientific Workflows (e.g. I2S2; MyExperiment) and Blogs (e.g. Blog3) e.g. RTI www.southampton.ac.uk/muvis SharePoint 2010: (Big) Data Metadata Project pages, blogs, wikis, finances

  17. Future for Portus Data • The latest AHRC funding (2011-2014) will take the project from analysis of data through to linking of publications to the data upon which they are based • Expose Linked Open Data • Repository integration is core to our on-going work, including self-deposit (SWORD-ARM & DataPool) • VRE developments to enable Sharepoint -> Repository • Experimental Data-Publication linking e.g. RIN

  18. Thank you. graeme.earl@soton.ac.uk Archaeological Computing Research Group Digital Economy USRG

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