HISTORY OF RESEARCH RESOURCE IDS

IDENTIFYING THE PROBLEM (2008-2013)

(2008) NIF FUNDED AT UCSD - NIF (Add grant numbers) aggregates 150 databases

(2009) works on a text mining project for antibodies in J.Neurosci 1/2 cannot be identified, 90% lack catalog numbers

(2010) NIF meeting with Journal of Neuroscience full editorial board (at SfN) presenting the problem and results of text mining

(2010 or 2011) LAMHDI meeting(s) at NIH and UCSD

(2011) White Paper from LAMHDI released

(2012) First editor and publisher meeting organized by NIF, NIDA and sponsored by INCF held at SfN.

(2013) Second editor and publisher meeting organized by NIF, NIDA and sponsored by NIDA and INCF held at NIH -> Agreement on Pilot Project

(2013) Vasilevsky paper published on scope of problem

(2013) Third editor and publisher meeting organized by NIF and sponsored by Wiley held at SfN -> Start date agreed upon

(2013) dkNET creates generalized NIF portal infrastructure

(2014) Launch of the Resource Identification Portal

(2014) FORCE11 Working Group launched

(2014) Pilot Project led by Journal of Neuroscience, Neuroinformatics, F1000, Brain and Behavior, and Journal of Comparative Neurology

(2015) Paper describing how RRIDs are used in the first 100 paper is co-published in 4 journals

(2015) Strong organic adoption by Journals (769 papers in 108 Journals)

(2016) STAR Methods proposed by Cell Press

(2016) Journals begin requiring incorporation of RRIDs

(2016) SciBot developed for curation of RRIDs (funding via Helmsley award via collaboration with Hypothes.is and ORCID)

(2016) Addition of Cell Lines and partnership with Cellosaurus / ICLAC

(2016) Strong adoption continues (1626 papers in 191 journals)

(2017) Office of the Director hosts stock center directors to discuss RRIDs

(2017) RRIDs are linked by most publishers to the SciCrunch Resolver

(2017) Adoption accelerates (over 5200 papers in more than 380 journals)

(2019) JATS 1.2 (NISO standard for journal articles) adds support for RRIDs

(2019) SciScore released to limited journals to help identify where authors used RRIDs properly, or where RRIDs are needed

(2020) ASWG is formed, combining many AI-based manuscript screening tools to address the issue of quality in preprints