An introduction to the coverage of the Data Citation Index (Thomson-Reuters): disciplines, document types and repositories

@article{TorresSalinas2013AnIT,
  title={An introduction to the coverage of the Data Citation Index (Thomson-Reuters): disciplines, document types and repositories},
  author={Daniel Torres-Salinas and Alberto Mart{\'i}n-Mart{\'i}n and Enrique Fuente-Guti{\'e}rrez},
  journal={ArXiv},
  year={2013},
  volume={abs/1306.6584}
}
In the past years, the movement of data sharing has been enjoying great popularity. Within this context, Thomson Reuters launched at the end of 2012 a new product inside the Web of Knowledge family: the Data Citation Index. The aim of this tool is to enable discovery and access, from a single place, to data from a variety of data repositories from different subject areas and from around the world. In this short note we present some preliminary results from the analysis of the Data Citation… 
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References

SHOWING 1-10 OF 17 REFERENCES

Coverage, field specialisation and the impact of scientific publishers indexed in the Book Citation Index

The authors conducted a descriptive study in which they examined coverage by discipline, publisher distribution by field and country of publication, and publisher impact of Thomson Reuters' Book Citation Index.

Sharing Detailed Research Data Is Associated with Increased Citation Rate

This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.

Compartir los datos de investigación en ciencia: introducción al data sharing

The emergence in the scientific community of an initiative known as data sharing, consisting of sharing research data among researchers and aiming to maximize efforts and resources, is analysed to examine the impact these major changes in researchers’ habits have for librarians, including the emergence of new professional profiles.

Citation Analysis in Research Evaluation

This work focuses on assessing Basic Science Research Departments and Scientific Journals, as well as Empirical and Theoretical Chapters, and the Citation Indexes, which summarize the literature on empirical and theoretical determinants of scientific research.

Online Information Review

Purpose – The paper seeks to demonstrate the relative effectiveness of a range of search tools in finding open access (OA) versions of peer reviewed academic articles on the WWW.…

An International Framework to Promote Access to Data

It is argued that an international framework of principles and guidelines for data access is needed to better realize this potential, and a framework for locating and analyzing where improvements can be made in data access regimes is provided.

Whose data set is it anyway? Sharing raw data from randomized trials

Data sharing should come to be seen as an inherent part of conducting a randomized trial, similar to the way in which the clinical trial community considers ethical review and publication of study results.

Towards agreement on best practice for publishing raw clinical trial data

Many research-funding agencies now require open access to the results of research they have funded, and some also require that researchers make available the raw data generated from that research.…

An introduction to the coverage of the Data Citation Index (Thomson-Reuters): disciplines, document types and repositories

  • EC3 Working Papers
  • 2013

Promise and practice in data sharing