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Frontiers' Collaborative Review
- 1. Frontiers Collaborative Review June 21, 2015 Marie Souliรจre, Ph.D. | Program Manager
- 2. Frontiers Collaborative Review - Back to basics - How it actually works - Future engagement and latest developments
- 3. How different is it? Key principles - Collaborative โ unites the authors and reviewers in a direct online dialogue - Objective โ peer review will concentrate on technical rather than subjective concerns BioMed Central โinclusiveโ peer review, PLOS One focuses on technical concerns. - Transparent โ reviewers and editor names acknowledged on published papers. BioMed Central, BMJ, F1000Research - publish names, full reports and pre-publication discussion. Copernicus - Interactive Public Peer-Review. - Rigorous โ questionnaires for each article types, with focus on validity of research Rubriq - ScoreCard, Peerage of Science - pre-submission questionnaires
- 4. How efficient is it? Averagereviewtime(Days) 0 20 40 60 80 100 120 105 97 92 90 84 82 77 74 74 74 74 73 69 67 66 62 61 25 Average review time (submission to acceptance) per field at Frontiers Data as of June 2015
- 5. How efficient is it? Frequency 0 50 100 150 200 250 300 350 400 450 0 50 100 150 200 250 300 350 Review time analysis Submission to Acceptance (days) 50% of all papers: 37-92 days 75% of all papers: 21-122 days Average time from submission to acceptance for all Frontiers Journals Median time from submission to acceptance for all Frontiers Journals 86 52 Data as of June 2015
- 6. How efficient is it? PLOS One (2013) Average: 134 days Median*: 104 days PNAS (as of 2015) Average: 152 days Frontiers (as of 2015) Average: 86 days Median*: 52 days Open Biology, Royal Society (as of 2015) Average: 96 days eLIFE (2014) Median*: 90 days Journal of Applied Mathematics, Hindawi (2013) Median*: 88 days Data as of June 2015
- 7. How efficient is it? Data on iterations in the Review Forum (RF): Average # comments posted in RF by participants 4 Median # comments posted in RF by participants 3 Average MS resubmission 1.8 Median MS resubmission 1 Collaborative? Yes. But not too much. Data as of June 2015
- 8. Positive author and reviewer feedback
- 9. New Online Review Forum (2014)
- 12. Current and future developments - Plagiarism check for ALL submissions (iThenticate program) - Conflicts of interest between editors and authors - Final validation stage (all files received, permissions for figures or ethics committees provided, no COI or plagiarism issues left) - Policy on authorship changes and disputes
- 13. Current and future developments - Plagiarism check for ALL submissions (iThenticate program) - Conflicts of interest between editors and authors - Final validation stage (all files received, permissions for figures or ethics committees provided, no COI or plagiarism issues left) - Policy on authorship changes and disputes
- 14. Current and future developments - Plagiarism check for ALL submissions (iThenticate program) - Conflicts of interest between editors and authors - Final validation stage (all files received, permissions for figures or ethics committees provided, no COI or plagiarism issues left) - Policy on authorship changes and disputes
- 15. Current and future developments - Plagiarism check for ALL submissions (iThenticate program) - Conflicts of interest between editors and authors - Final validation stage (all files received, permissions for figures or ethics committees provided, no COI or plagiarism issues left) - Policy on authorship changes and disputes
- 16. - Affiliation list selection during submission and on Loop network - Manuscript length check at submission - FundRef - Crossmark - New Associate Editor tab in the Review Forum - Article type Review Questionnaires per Program - Algorithm for Associate and Review Editors invitations Current and future developments As of June 2015
- 17. 28.6% 24.3% 28.1% 27.7% 20.6% Sept Oct Nov Dec Jan % Acceptance rate manual invitations to REV 22.7% 17.7% 23.3% 19.7% 18.0% Sept Oct Nov Dec Jan % Acceptance rate manual invitations to RE Review Editor Smart invitations: Case study Human Neuroscience % acceptance of manual invitations sent by month to Review Editors (RE) or external Reviewers (REV) Data as of May 2015
- 18. KPI: Decrease % Not expertise declination rate of automatic invitations sent by month (baseline # declined invitations) Top-10 invitations Keywords Semantic Keywords Semantic 18.9% 22.3% 23.3% 24.6% 14.2% 17.6% 13.4% 21.4% 14.0% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 23.1% 29.3% 29.0% 40.6% 21.6% 22.3% 20.9% 20.2% 22.4% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 RE Smart invitations Top-20 invitations Data as of May 2015
- 19. Accepted Interested KPI: Increase % of Acceptance and Interested automatic invitations sent by month (baseline total invitations sent in the month) Keywords Semantic Keywords Semantic 1.0% 2.4% 2.5% 1.9% 3.7% 5.6% 2.7% 4.0% 6.4% 0.2% 0.6% 1.0% 1.3% 0.2% 1.0% 0.2% 2.0% 0.6% 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0% 8.0% Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 1.4% 1.2% 1.5% 0.9% 1.9% 1.9% 2.4% 1.5% 4.0% 0.0% 0.3% 0.8% 1.4% 0.3% 0.6% 0.5% 0.4% 1.9% 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0% Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 *Max acceptance rate is 20% (2 reviewers reached) Top-10 invitations Top-20 invitations RE Smart invitations Data as of May 2015
- 20. KPI: Decrease % of manuscripts delayed in review assignment (baseline # manuscripts submitted by month) Keywords Semantic 15.0% 13.0% 16.0% 13.0% 11.8% 12.4% 10.6% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0% 18.0% 30-Nov-14 28- Feb-1531- Jan-1531- Dec-14 31- March-15 30- April-15 31- May-15 RE Smart invitations Data as of May 2015
- 21. Associate Editor assignment: Case study Microbiology 28.7% 21.2% 33.3% 28.3% 22.8% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% Jan-15 Feb-15 Mar-15 Apr-15 May-15 Acceptance rate of the Associate Editor selected by the author at submission Submitted month of the manuscript 29.0% 22.0% 56.0% 30.0% 29.0% 68.0% 72.0% 38.0% 67.0% 50.0% 3.0% 6.0% 6.0% 3.0% 21.0% 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0% Jan-15 Feb-15 Mar-15 Apr-15 May-15 % of reasons for declining an invitation the preferred Associate Editor No expertise No time Others & COI Data as of May 2015
- 22. Questions?
Editor's Notes
- eLIFE (collaborative between reviewers) http://www.biomedcentral.com/authors/authorfaq/medical http://blog.f1000research.com/2014/05/21/what-is-open-peer-review/
- How efficient is it and how can we determine this? Average review time for fields, and compare it with some other publishers. The review times provided here by fields are for articles accepted for publication. This excludes rejected articles.
- We are faster, but this is not at the expense of quality, rather because there are less exchanges of emails and waste of time.
- Social Science & Medicine, Elsevier, IF 2.5, OA options Proceedings of the National Academy of Sciences, IF 9.8, traditional Social Science & Medicine, Elsevier (as of 2015) - Typically within ~80 days http://www.ams.org/notices/201410/rnoti-p1268.pdf Journal of Mathematical Physics, AIP (2013) Median*: ~135 days https://metarabbit.wordpress.com/2013/06/03/how-long-does-plos-one-take-to-accept-a-paper/ http://royalsocietypublishing.org/publishing-times http://journals.plos.org/plosone/s/journal-information http://openaccesspublishing.org/oa11/article.pdf
- How many iterations occur in the review forum? This includes comments posted both by authors, reviewers and editors (average of times the email with title โNew comments posted in the review forumโ is sent.
- Another indication of how efficient this process is, is obviously user feedback. Authors survey, 1600 Reviewers survey, 777 Conclusion from this is that we are doing something different, and that people actually like it. We did this survey after the launch of our new review forum which happened a bit over a year ago now.
- The goal of the review forum revamp was to improve the functionality. The principle of the peer review itself is the same, we improved the user-friendliness mostly.
- One of the main concerns that we run into is do to our level of transparency. Since we name reviewers on published papers, we have to be more careful than other publishers about potential COIs.
- One of the main concerns that we run into is do to our level of transparency. Since we name reviewers on published papers, we have to be more careful than other publishers about potential COIs.
- One of the main concerns that we run into is do to our level of transparency. Since we name reviewers on published papers, we have to be more careful than other publishers about potential COIs.
- One of the main concerns that we run into is do to our level of transparency. Since we name reviewers on published papers, we have to be more careful than other publishers about potential COIs.
- For quite some time we had been focusing on improving the functionality, to ensure that authors, reviewers, editors would have an easier time navigating the system, and would have access to the options that they need. In the past year, we then shifted the focus to a more thorough verification of the manuscripts. One of the main concerns that we run into is due to our level of transparency. Since we name reviewers on published papers, we have to be more careful than other publishers about potential COIs. CrossMark. The CrossMark identification service fromย CrossRefย sends a signal to researchers that publishers are committed to maintaining their scholarly content. It gives scholars the information they need to verify that they are using the most recent and reliable versions of a document. Readers simply click on the CrossMark logos on PDF or HTML documents, and a status box tells them if the document is current or if updates are available. - See more at: http://www.crossref.org/crossmark/#sthash.TiXxthYx.dpuf FundRef. FundRef, a multipublisher initiative started by CrossRef to provide a standard way of reporting funding for published research. The funding data are available through CrossRef for interested parties to analyze. To see if a PNAS paper has FundRef data, click on the CrossMark logo that appears with the paper, and select the Record tab. ORCID. ORCID provides a persistent digital identifier that distinguishes you from every other researcher and, through integration in key research workflows such as manuscript and grant submission, supports automated linkages between you and your professional activities ensuring that your work is recognized. PNAS encourages authors to use their ORCID identifier when submitting papers. ORCID registration takes 30 seconds. For more information or to register, visitย http://orcid.org/.