Difference between revisions of "Archaeology Data Service"

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==Description==
 
==Description==
 
The Archaeology Data Service (ADS) is a digital repository for cultural heritage data. Based at the University of York, it also provides advice and support for research projects on good practice in using digital data. It is staffed by archivists, developers and researchers who work on the long-term digital preservation of the data that has been deposited with the ADS.  
 
The Archaeology Data Service (ADS) is a digital repository for cultural heritage data. Based at the University of York, it also provides advice and support for research projects on good practice in using digital data. It is staffed by archivists, developers and researchers who work on the long-term digital preservation of the data that has been deposited with the ADS.  
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The ADS offers a [https://archaeologydataservice.ac.uk/easy/costingCalculator.xhtml Costing Calculator] to estimate the costs of archiving. It also publishes a set of [https://archaeologydataservice.ac.uk/advice/guidelinesForDepositors.xhtml Guidelines for Depositors] and a set of [http://guides.archaeologydataservice.ac.uk/g2gp/Main Guides to Good Practice]. Individuals within the team are also able to provide advice on data use in specific projects.
  
 
[[category:archaeology]]
 
[[category:archaeology]]

Revision as of 15:38, 3 September 2019

Available

Director

  • Julian Richards

Description

The Archaeology Data Service (ADS) is a digital repository for cultural heritage data. Based at the University of York, it also provides advice and support for research projects on good practice in using digital data. It is staffed by archivists, developers and researchers who work on the long-term digital preservation of the data that has been deposited with the ADS.

The ADS offers a Costing Calculator to estimate the costs of archiving. It also publishes a set of Guidelines for Depositors and a set of Guides to Good Practice. Individuals within the team are also able to provide advice on data use in specific projects.

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