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Toward a FAIR Reproducible Research

Christophe Bontemps () and Valérie Orozco ()

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Abstract: Two major movements are actively at work to change the way research is done, shared and reproduced. The _rst is the reproducible research (RR) approach, which has never been easier to implement given the current availability of tools and DIY manuals. The second is the FAIR (Findable, Accessible, Interoperable, and Reusable) approach, which aims to support the availability and sharing of research ma- terials. We show here that despite the e_orts made by re- searchers to improve the reproducibility of their research, the initial goals of RR remain mostly unmet. There is great demand, bothwithinthescienti_ccommunityandfromthe generalpublic,forgreatertransparencyandfortrustedpub- lished results. As a scienti_c community, we need to reor- ganize the di_usion of all materials used in a study and to rethinkthepublicationprocess. Researchersandjournalre- viewers should be able to easily use research materials for reproducibility, replicability or reusability purposes or for exploration of new research paths. Here we present how the research process, from data collection to paper publi- cation, could be reorganized and introduce some already available tools and initiatives. We show that even in cases in which data are con_dential, journals and institutions can organize and promote "FAIR-like RR" solutions where not only the published paper but also all related materials can be used by any researcher..

Keywords: Reproducible Research; FAIR; Trusted Science; Confidential Data (search for similar items in EconPapers)
Date: 2021-01-29
New Economics Papers: this item is included in nep-sog
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Working Paper: Toward a FAIR Reproducible Research (2021)
Working Paper: Toward a FAIR Reproducible Research (2020) Downloads
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