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About

The Heritage Science Data Service provides core digital research services as part of the RICHeS programme, the UK’s Research Infrastructure for Conservation and Heritage Science. The HSDS will unlock potential for innovation in heritage science and conservation research and its capacity to advance understanding, preservation, and management of UK heritage.

The organisation

The Heritage Science Data Service provides core digital research services as part of the RICHeS programme, to unlock potential for innovation in heritage science and conservation research.

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Partners

The HSDS is developed and managed by the Archaeology Data Service, an innovative CoreTrustSeal digital repository, in partnership with STFC's Hartree Centre, a high-performance computing, research facility.

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The Team

Meet the excellent team who are working together to develop the HSDS a world leading digital repository and core digital research service.

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Governance

The HSDS will be managed by the Archaeology Data Service (ADS), alongside a Management Committee made up of representatives of key collaborating organisations, including RICHeS.

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Policies and procedures

Documentation detailing the policies and procedures employed by the HSDS as part of organisational structure and digital preservation workflows

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Projects

Discover the ground breaking research projects that HSDS staff and partners are participating in, within the Heritage Science sector and beyond.

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Latest updates from the Heritage Science Data Service
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Location

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Address:

Heritage Science Data Service
University of York
The King’s Manor
Exhibition Square
York
YO1 7EP

Contact

For general enquiries:
[email protected]
For costings or information on depositing data:
[email protected]
Costing requirements
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If you are requesting a costing please provide the following information:

  • Name of the dataset/project you are intending to deposit
  • Brief description of your dataset
  • Contact details of the primary depositor
  • An estimate of the number of files per data format to be deposited and if possible an estimate of file size (For example: 10 .docx files, 10 .xlsx files, 1000 .tif files, 5 .shp files, 2 .obj files = 1GB).
  • Name of funding body (if applicable)
  • Estimate of expected deposit date
  • If you require a map or query interface to help users navigate data
  • Any other information you think would help us understand your dataset