The authors are invited to submit original and unpublished work and not currently submitted for consideration elsewhere. For each accepted paper, at least one author must be fully registered. An oral presentation at the conference is strictly required.
The submission process includes:.
1. Register your paper, with abstract. Registration is mandatory.
2. Submit your paper (PDF only) by 11:59:59 PM EST, 25 July, 2022.
Please register and submit your Paper using EasyChair.
The Review Process
Like most high-profile conferences, DATA conference relies on a panel of reviewers to assist the selection of contributions. Your submission will be subjected to thorough reviewing by three or more experts in the relevant field. The process by which these reviewers are selected, and by which their assessments then influence the final decision, has been reworked and refined over the years in order to ensure that submissions are treated as fairly as possible. The more you understand about the review process, the better equipped you will be to make a strong case for your work.
Papers are reviewed by subcommittees that each focus on a subset of topics in Data Science. As an author, you decide which subcommittee best matches the contribution of your research.
The Review Form
Here is a brief overview of the form used by reviewers to submit their reviews of your contribution. You may have been asked to review submissions for DATA Conferene, in which case you will need to become very familiar with this form! That’s not why we describe it here, however. Rather, we suggest that familiarity with the questions on the review form will help you to decide what to include or emphasise in your submission.
The questions on the review form ask the reviewer for the following:
- A statement of the submission’s contribution to the field of DATA; this provides the Program Committee with a basis for assessing the significance of the contribution, and for judging whether all the reviewers agree on what the contribution is;
- An overall rating for the paper based on the contribution it makes to the field of DATA, from 1 (Reject) to 5 (Strong Accept);
- A rating of the reviewer’s own expertise in the topic area of the submission, from 1 (No Knowledge) to 4 (Expert); this helps members of the Program Committee to resolve conflicting views on submissions;
- A review of the submission in terms of the criteria laid out in the Call for Papers:
* Significance of the paper’s contribution to DATA and the benefit that others can gain from the contribution: why do the contribution and benefit matter?
* Originality of the work: what new ideas or approaches are introduced? We want to emphasise that an acceptable paper must make a clear contribution to Data Science.
* Validity of the work presented: how confidently can researchers and practitioners use the results?
* Presentation clarity
* Relevant previous work: is prior work adequately reviewed?
Reviewers can also add further comments that they want you or the Program Committee to see. But the author’s main goal should be a strong, clear contribution to Data Science. If you do this, your submission should get a high rating.