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Data Citation Index Overview

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Data Citation Index includes bibliographic metadata from research data in Data Studies and Data Sets from a wide range of international data repositories. Source records include three document types: Repository, Data Study, and Data Set.

Generally, the hierarchy of a repository is represented in the product database by linking Data Sets to a Data Study and the Data Study to a Repository.

Each record in the product contains standard bibliographic metadata such as author, abstract, keywords, descriptor terms, and more. Records may include cited references and citing article counts.

The "How to Cite this Resource" feature in each record from the Full Record page provides a standard example of how to cite a Data Study or Data Set.

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Coverage

Coverage includes research areas in the social sciences, physical sciences, life sciences, and humanities. Two citation index editions are available and include:

  • Science (DCI-S) -- 1900-present
  • Social Sciences & Humanities (DCI-SSH) -- 1900-present

Some Data Sets may predate 1900. The product will retrieve these records if you select 1900-present as the timespan.

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Key Features

  • See how Data Studies and Data Sets are connected to published papers in journals, books, and conferences in the Sciences, Social Sciences, and Humanities.

  • Link to repositories from Data Study and Data Set records to access original data.

  • One-click search on authors, group authors, editors, and source repositories to view all records in the database by the selected item.

  • Access the digital data from international source repositories.

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About Citation Indexes

A citation index contains the references cited by the authors of the publications covered by the index. You can use these references to do a cited reference search. This type of search enables you to find works that cite a previously published work.

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Document Types

For a list of document types, go to our listing of document types.

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Subject Descriptor Terms

For a complete list of Subject Descriptor terms in the product database, go to our listing of Descriptors: Field Tags and Descriptions .