The Data for Policy conference series is the premier global forum for multiple disciplinary and cross-sector discussions around the theories, applications and implications of data science innovation in governance and the public sector. Its associated journal, Data & Policy, published by Cambridge University Press has quickly established itself as a major venue for publishing research in the field of data-policy interactions. Our integrated submission system allows full papers to be considered both for presentation at the conference and for potential publication in the journal (subject to peer review). Papers submitted in this way benefit from a streamlined peer-review process.
Full papers that are deemed of sufficient development and quality by review will be invited to submit to Data & Policy before the conference. Other accepted submissions are invited to submit papers to Data & Policy after the conference. Note that all articles submitted to Data & Policy will be peer-reviewed independently, and accepted or rejected on their own merits according to the journal’s process.
In addition, pre-conference, all authors are encouraged to use the Data for Policy community platform on Zenodo (https://zenodo.org/communities/dfp17), an open repository, in order to make their conference paper and any related materials – such as slides, audio, video, datasets and code – available at the time of the conference.
Special Collections in Data & Policy
Special Track Chairs wishing to become involved in the editorial process are invited to act as Guest Editors of Special Collections in Data & Policy. This will involve:
- Short-listing of the Special Track papers to those that form a thematically coherent collection of publications, presenting the key issues;
- Guiding submitted papers through the journal’s peer review process (inviting reviewers, recommending decisions to the Data & Policy Editors-in-Chief);
- Writing an editorial to introduce the Special Collection.
This does imply additional work, including beyond the timeline of the conference, so it is not required, but it is something we encourage in the interest of further disseminating scholarly discussion about data science, governance and the public sector.
Data & Policy is a collaborative effort to produce for this community a peer-reviewed and authoritative resource about the potential and implications of data science for governance, and Special Track Chairs interested in editing Special Collections will receive plenty of support from both the Data & Policy editorial team, the Data for Policy Community Manager and the journal’s publisher, Cambridge University Press.