[CODATA-international] Call for papers for the Data Science Journal

Anatoly Soloviev a.soloviev at gcras.ru
Wed Nov 18 07:49:56 EST 2015

*Call for Papers – Data Science Journal*

The /Data Science Journal/ is a peer-reviewed, open access, electronic
journal dedicated to the advancement of data science and its application 
in policies, practices and management of Open Data.

We are 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.

All data is in scope, whether born digital or converted from other
sources, and all research disciplines are covered. Data is a
cross-domain, cross-discipline topic, with common issues, regardless of
the domain it serves. The /Data Science Journal/ publishes a variety of
article types (research papers, practice papers, review articles and
essays). The /Data Science Journal/ also publishes data articles,
describing datasets or data compilations, if the potential for reuse of
the data is significant or if considerable efforts were required in
compilation. Similarly, the /Data Science Journal/ also publishes
descriptions of online simulation, database, and other experiments,
partnering with digital repositories on ‘meta articles’ or ‘overlay
articles’, which link to and allow visualisation of the data, thereby
adding an entirely new dimension to the communication and exchange of
data research results and educational materials.

For further information, and to submit a manuscript, please visit


Anatoly Soloviev

Deputy Director for Science,
Geophysical Center of the Russian Academy of Sciences

Chair of CODATA TG "Earth and Space Science Data Interoperability"

Member of the Data Science Journal editorial board

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