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About

Focus and Scope

Talk of a ‘data revolution’ is not hyperbole. Recent decades have seen an unprecedented explosion in the human capacity to acquire, store and manipulate data and information. It is a world historical event involving a revolution in knowledge creation, communication and utilisation as profound as and more pervasive than that associated with Gutenberg’s invention of the printing press. These developments involve profound transformations in the conduct of research. It raises issues that affect science policy, the conduct and methods of research and the data systems, standards and infrastructure that are integral to research. The evidence-based study of these things is Data Science.

The Data Science Journal is dedicated to the advancement of data science and its application in policies, practices and management as Open Data to ensure that data are used in the most effective and efficient way in promoting knowledge and learning. It is a peer-reviewed, open access, electronic journal that is relevant to 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.


Publication Frequency

The journal is published online as a continuous volume and issue throughout the year. Articles are made available as soon as they are ready to ensure that there are no unnecessary delays in getting content  publically available.

Special collections of articles are welcomed and will be published as part of the normal issue, but also within a separate collection page.


Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

Authors of articles published remain the copyright holders and grant third parties the right to use, reproduce, and share the article according to the Creative Commons license agreement.


Archiving Policy

The journal’s publisher, Ubiquity Press, focuses on making content discoverable and accessible through indexing services. Content is also archived around the world to ensure long-term availability.

Ubiquity Press journals are indexed by the following services:

CrossRef, JISC KB+, SHERPA RoMEO, Directory of Open Access Journals (DOAJ), EBSCOHost, and Google Scholar. In addition, all journals are available for harvesting via OAI-PMH.

To ensure permanency of all publications, this journal also utilises CLOCKSS, and LOCKSS archiving systems to create permanent archives for the purposes of preservation and restoration.

If the journal is not indexed by your preferred service, please let us know by emailing support@ubiquitypress.com or alternatively by making an indexing request directly with the service.


Publication Ethics

Data Science Journal welcomes suggestions for special issues or conference proceedings focusing on specific topics within the journal's scope. For more information about publishing a special issue with us, please contact the Editor-in-Chief, Sarah Callaghan.

 

Ubiquity Press, the journal’s publisher, is a member of the Committee on Publication Ethics  (COPE), the Open Access Scholarly Publishers Association (OASPA), and the Association of Learned and Professional Society Publishers (ALPSP). The Press recognises its responsibility as a guardian of the scholarly record and takes an active role in establishing standards and policies in publication ethics.

The Editors have committed to maintaining high editorial standards through rigorous peer review and strict ethical policies. The Editors follow the COPE code of conduct and refer to COPE for guidance as appropriate. The journal and the publisher ensure that advertising and commercial interests do not impact or influence editorial decisions.


Special Issues

Data Science Journal welcomes suggestions for special issues or conference proceedings focusing on specific topics within the journal's scope. For more information about publishing a special issue with us, please contact the Editor-in-Chief, Sarah Callaghan.

 

Sponsors

History

Data Science Journal was transferred to Ubiquity Press in 2015.

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