Call for Abstracts
The call for abstracts for PV2018 is now open! The sumissionof abstracts to conference is a two stage process detailed below
Authors are invited to submit an abstract to the PV2018 conference through the Easychair system. The abstract should have a minimum length of 200 and a maximum of 400 words and authors are asked to indicate if they would like to considered for either an oral or poster presentation.
Deadline for the extended abstract submission is 12 noon on 7th March 2018.
Each submitted extended abstract will be peer-reviewed by the Program Committee. The evaluation will be based on relevance to the conference, techical/scientific quality and clarity of writing. For futher information on the conference scope and suggested topics please see the objectives and sessions page.
Notification of acceptance as oral presentation or poster will be provided to authors by 2nd April 2018.
Authors of all accepted contributions for oral presentation will be invited to prepare and submit a four-page proceedings paper addressing the comments of the reviewers. Deadline for the four-page proceedings paper submission is 30th April 2018.
Contributions accepted for oral presentation shall be presented in 20 minutes including time for questions and answers. Contributions accepted for the poster session shall be presented in A0 format.
Paper submission: submission of four-page proceedings paper should follow the Data Science Journal author guidelines.
Final accepted papers will be published in conference proceedings and made publically accessible through STFC epubs.
Special Issue Data Science Journal
Authors are encouraged to submit full-length journal papers to a special edition of the Data science 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 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