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.
Reviewers should have good experience in their specific research field and this research field must conform to the scope of the journal (http://datascience.codata.org/about/).
Reviewers are responsible for evaluating the quality, relevance, and merit of submitted papers, and should provide complete, constructive and detailed comments to support their decision, providing clear opinions about strengths, weaknesses, relevance, and importance to the field.
- Agree to follow the COPE Ethical Guidelines for Peer Reviewers (http://publicationethics.org/files/Peer%20review%20guidelines_0.pdf), including considering supplementary materials and references submitted as part of the publication;
- Agree to return manuscripts in a timely manner;
- Agree not to distribute the manuscript or to disclose information within the manuscript;
- Agree to review the first revision of a manuscript for which he/she provided the initial review;
Data Science Journal operates a single-blind peer review process, meaning that reviewers remain anonymous for the review process. The review period is expected to take no more than four weeks.
Every year, the best reviewer (as judged by the editorial team) will be awarded an APC-free publication in Data Science Journal as a thank you for their work. Academic credit for doing reviews can also be obtained via Publons (https://publons.com/home/), and of course, reviewing provides learning and development opportunities in one of the fastest emerging research areas today.
Please visit http://datascience.codata.org/author/register/reviewer/ to register as a reviewer.
If you are not registered with the journal then you will be prompted to register, and if you are already an author you will be given the opportunity to be further added to the reviewer pool. Please do update your profile with your research interests, as this allows the editors to assign appropriate papers to you.
About the 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 physical and social sciences, technology, the humanities and the arts.
The Data Science Journal is dedicated to the advancement of data science and its application in practices, policies and management of 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, practices and policies for data.
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.
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 http://datascience.codata.org/about/submissions/
Posted on 18 Nov 2015