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      Digitizing scientific data and data retrieval techniques

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          Abstract

          Storing data is easy, but finding and using data is not. It is desirable that the data is stored in a structured format, which can be preserved and retrieved in future. Creating Metadata for the data is one way of creating structured data formats. Metadata can provide Multidisciplinary data access and will foster more robust scientific discoveries. In the recent years, there has been significant advancement in the areas of scientific data management and retrieval techniques, particularly in terms of standards and protocols for archiving data and metadata. New search technologies are being implemented around these protocols, which makes searching easy, fast and yet robust. Scientific data is generally rich, not easy to understand, and spread across different places. In order to integrate these pieces together, a data archive and an associated metadata is generated. This data should be stored in a format that can be locatable, retrievable and understandable, more importantly it should be in a form that will continue to be accessible as technology changes, such as XML.

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          Journal
          19 October 2010
          2011-01-03
          1010.3983

          http://creativecommons.org/licenses/publicdomain/

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          cs.IT math.IT

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