Data Science Journal

About this Journal

The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.

All data is in scope, whether born digital or converted from other sources.

Data Science Journal - Call for Reviewers

The Data Science Journal is currently looking to expand its network of specialised reviewers. The journal is seeking reviewers who can provide constructive analysis of papers, thereby enhancing the quality of the published papers and the overall reputation of the journal. The Data Science Journal is indexed in Scopus, with indexing in Web of Science pending.

For reviewer requirements, benefits and details on how to apply click HERE!

Posted on 03 May 2017

Special Collection: Data Models

The Data Science Journal is editing a new special collection of papers focused on conceptual, logical, and physical data models that support research. Our intention is to publish research and practices papers that shed light on new methods of design and development, as well as reviews of recently released data models. Submissions to the collection are ongoing, and papers published in the collection can be found here

To submit a paper to this collection, please use the usual submission process and leave a note in the author comments box to inform the editors that it is a submission for the Data Models special collection.

Posted on 30 Jan 2017

Call for Papers

Data Science Journal is currently soliciting submissions for papers on a wide range of data science topics, across the whole range of computational, natural and social science, and the humanities. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for data. Read more...

Posted on 18 Nov 2015

About this Journal