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.
The DSJ editorial board has revised the focus and scope of the journal. It is not a big change, but rather one of clarification in a changing world. We primarily want to specify our definition of 'data science' as the classic sense of the science of data practices that advance human understanding and knowledge — the evidence-based study of the socio-technical developments and transformations that affect science policy; the conduct and methods of research; and the data systems, standards, and infrastructure that are integral to research.
We recognize the contemporary emphasis on data science, which is more concerned with data analytics, statistics, and inference. We embrace this new definition but seek papers that focus specifically on the data concerns of an application in analytics, machine learning, cybersecurity or what have you. We continue to seek papers addressing data stewardship, representation, re-use, policy, education etc.
Most importantly, we seek broad lessons on the science of data. Contributors should generalize the significance of their contribution and demonstrate how their work has wide significance or application beyond their core study.
We look forward to hearing from you.
Mark A. Parsons firstname.lastname@example.org on behalf of the Editorial Board https://datascience.codata.org/about/editorialteam/
Posted on 11 Jun 2019
In his blog post, Mark writes: 'I am especially interested in helping DSJ build its niche as an influential journal of the ‘science of data’ in the sense that CODATA described it decades ago. We need more fora that encourage dialog across research and practice to understand all the issues around the socio-technical work necessary for data to be findable, accessible, interoperable, reusable, ethical, secure, etc.’ ...
'I have been a member of the DSJ editorial board since the journal moved to Ubiquity Press, and I have been impressed at how Sarah Callaghan and other editors have worked to increase the journal’s quality. I want to continue this momentum. I want to further bolster the review quality and also raise the possibility of open reviews. The nature of DSJ is that it often attracts submissions and requires reviews from practitioners who have much less of a mandate to publish than researchers. I believe practitioners should be encouraged to contribute (with research as well as practice papers), so we should do what we can to recognize and model excellent contributions in this area. ...
'Thanks to Sarah’s great work, DSJ has a bright future as submissions continue to increase in number and quality. DSJ was ahead of its time when it was founded in the 1990s. I am eager to explore how it can continue to push important conversations forward. I welcome all your ideas. Please tell me what you think. Better yet, tell the community through a submission to DSJ!
Mark replaces Sarah Callaghan, who has served since 2015, when the Data Science Journal was moved to its current platform with Ubiquity Press.
'In my four year tenure, I am very proud of the fact that 135 papers have been published, along with 6 Special Collections with another 5 Special Collections in the pipeline. The journal has grown more popular and is steadily publishing research that is more impactful as time goes on, and this is a testament to the hard work of all involved – including our reviewers and authors.
'It is time for me to hand over the role of EiC to another, and it is with no small amount of sadness that I do so. Being EiC has been incredibly rewarding (and occasionally infuriating) and I have learned a great deal from it. I am very pleased to know that Mark Parsons is taking over the role, and know that the journal will be in safe, knowledgeable hands.
'It only remains for me to say my farewells and thank yous. Thank you to the authors, without whom there would be no articles to publish. A thousand thank yous to all my editors, reviewers, colleagues and friends – your efforts on behalf of the journal are deeply, deeply appreciated, as is your wisdom and expertise. I wish you all the very best for the future, and look forward to reading more excellent papers published in the DSJ!’
Posted on 01 May 2019
The Data Science Journal is currently accepting nominations and applications to become the Editor-in-Chief of the journal.
Applications can be made through the Google form at https://goo.gl/forms/ey60x1N2jO9YM1rY2
The deadline for applications is 12 midnight GMT on Sun 14 April.
The Data Science Journal is concerned with all aspects of the science of data. It 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. For the journal scope please see https://datascience.codata.org/about/
The main role of the Editor-in-Chief is:
to set the strategic direction of the Journal and develop policies to support the strategy (in collaboration with the editorial board)
to advocate for and promote the journal in general conversation and day-to-day work and by soliciting papers of interest to the community
to manage the editorial process (assisted by editors selected from the editorial board)
More specifically, the responsibilities expected are:
The previous Editor-in-Chief, Sarah Callaghan, allocated c.10% or 3-4 hours per week to this role. As is often the case for journal editors, her employer allowed this time (0.1 FTE) as part of her activities.
The Editor-in-Chief of the Data Science Journal is an ex officio member of the CODATA Executive Committee and CODATA provides a small fund to support travel and promotion of the journal.
The position is not a paid role but an honorarium can be negotiated with excellent candidates for outstanding performance.
Posted on 25 Mar 2019