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Estimating open access mandate effectiveness: The MELIBEA Score

Vincent-Lamarre, Philippe, Boivin, Jade, Gargouri, Yassine, Larivière, Vincent and Harnad, Stevan (2016) Estimating open access mandate effectiveness: The MELIBEA Score Journal of the Association for Information Science and Technology (JASIST), 67, (11), Summer Issue, pp. 2815-2828.

Record type: Article


MELIBEA is a directory of institutional open-access policies for research output that uses a composite formula with eight weighted conditions to estimate the “strength” of Open Access mandates (registered in ROARMAP). We analyzed total Web of Science-(WoS)-indexed publication output in years 2011-2013 for 67 institutions where OA was mandated in order to estimate the mandates’ effectiveness: How well did the MELIBEA score and its individual conditions predict what percentage of the WoS-indexed articles is actually deposited in each institution’s OA repository, and when. We found a small but significant positive correlation (0.18) between the MELIBEA “strength” score and deposit percentage. For three of the eight MELIBEA conditions (deposit timing, internal use, and opt-outs), one value of each was strongly associated with deposit percentage or latency (1: immediate deposit required; 2: deposit required for performance evaluation; 3: unconditional opt-out allowed for the OA requirement but no opt-out for deposit requirement). When we updated the initial values and weights of the MELIBEA formula to reflect the empirical association we had found, the score’s predictive power for mandate effectiveness doubled (.36). There are not yet enough OA mandates to test further mandate conditions that might contribute to mandate effectiveness, but the present findings already suggest that it would be productive for existing and future mandates to adopt the three identified conditions so as to maximize their effectiveness, and thereby the growth of OA.

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Published date: September 2016
Keywords: open access, open access mandates, MELIBEA, ROARMAP, ROAR, HECE, REF
Organisations: Web & Internet Science


Local EPrints ID: 370203
PURE UUID: fc6518d0-dee2-4f08-836f-15e94a26707b

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Date deposited: 18 Oct 2014 12:30
Last modified: 17 Jul 2017 21:52

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Author: Philippe Vincent-Lamarre
Author: Jade Boivin
Author: Yassine Gargouri
Author: Vincent Larivière
Author: Stevan Harnad

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