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    • Instructions For Depositors
    • Deposit guidance for RICHeS & E-RIHS
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    • Costing Calculator
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Deposit Data

Explore our guidance for depositors, understand our costs and licensing requirements and learn more about the grants we offer.

Instructions for depositors

Our instructions for depositors detail the HSDS requirements for depositing data. 

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Deposit guidance for RICHeS & E-RIHS

Specific instructions for depositing data arising from the RICHeS or E-RIHS access funds.

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Ingest 

Ingest is our cost effect deposit system designed to streamline the process of depositing data and associated metadata with HSDS.

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Deposit costs

Understand how much it costs to deposit data with the HSDS.

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Costing calculator

Find out what it will cost to archive your data with our easy-to-use costing calculator.

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Deposit agreement

Understand the agreement depositors will be asked to sign to deposit data with the HSDS.

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HSDS alternatives

Explore other trusted digital repositories relevant to the heritage science and conservation research community.

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Grants

Apply for a grant from HSDS to prepare a dataset for deposit or develop a Virtual Research Environment.

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Previously funded projects

Explore projects previously funded by HSDS grants.

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Heritage Science Data Service
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Coney Street
York
YO1 9QL

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