Digitizing scientific data and data retrieval techniques

Details Digitizing scientific data and data retrieval techniques Digitizing scientific data and data retrieval techniques

2010-10-19

arxiv.org/abs/1010.3983v2

Computer Science

Information Theory

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Digitizing scientific data and data retrieval techniques does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Digitizing scientific data and data retrieval techniques, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Digitizing scientific data and data retrieval techniques will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-269580