The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment with the FAIR principles. It takes considerable time, energy, expertise and motivation. It is imperative to facilitate the processes to encourage scientists to share their data. To that aim, supporting FAIR principles compliance processes and increasing the human understanding of FAIRness criteria-i.e., promoting FAIRness literacy-and not only the machine-readability of the criteria, are critical steps in the data sharing process. Appropriate human-understandable criteria must be the first identified in the FAIRness assessment processes and roadmap. This paper reports on the lessons learned from the RDA SHARC Interest Group on identifying the processes required to prepare FAIR implementation in various communities not specifically data skilled, and on the procedures and training that must be deployed and adapted to each practice and level of understanding. These are essential milestones in developing adapted support and credit back mechanisms not yet in place.

Abstract. Data sharing institutional incentives exist but no practical tools to implement such policy are in place. The BRIF (Bioresource Research Impact Factor) initiative was conceived as a possible way to fill this gap. It is an ongoing initiative that encompasses considerations and actions from various stakeholders (researchers, funders, industrials, editors) towards (i) standardized identification schemes and reporting for better visibility and tracing of bioresources on the web; (ii) incentive policies from hosting institutions; (iii) creation of tools allowing follow-up of their use.Tracing the use of bioresources is the first step in this process. For this purpose we have published the CoBRA (Citation of BioResources in journal Articles) guideline that standardizes the way bioresources are referred to in academic literature. We have launched the Open Journal of Bioresources in close collaboration with the open access publisher Ubiquity Press allowing both the resources to be cited and authors to get metrics on reuse and impact. Meanwhile, we have started developing new better adapted metrics; a first list of relevant parameters to take into account in the impact measure of bioresources has been provided.The tools proposed here foster easier access to samples and associated data as well as their optimized use, sharing and recognition for data producers. Input from the scientific information community would be highly appreciated at this stage.

Cholesterol-enriched functional portions of plasma membranes, such as caveolae and rafts, were isolated from lungs of wild-type (WT) and caveolin-1 knockout (Cav-1 KO) mice within detergent resistant membranes (DRMs). To gain insight into their molecular composition we performed proteomic and lipid analysis on WT and Cav-1 KO-DRMs that showed predicted variations of proteomic profiles and negligible differences in lipid composition, while Langmuir monolayer technique and small and wide-angle X-ray scattering (SAXS-WAXS) were here originally introduced to study DRMs biophysical association state. Langmuir analysis of Cav-1 containing DRMs displayed an isotherm with a clear-cut feature, suggesting the coexistence of the liquid-ordered (Lo) phase typical of the raft structure, namely “cholesterol-rich Lo phase,” with a phase fully missing in Cav-1 KO that we named “caveolin-induced Lo phase.” Furthermore, while the sole lipid component of both WT and KO-DRMs showed qualitatively similar isotherm configuration, the reinsertion of recombinant Cav-1 into WT-DRMs lipids restored the WT-DRM pattern. X-ray diffraction results confirmed that Cav-1 causes the formation of a “caveolin-induced Lo phase,” as suggested by Langmuir experiments, allowing us to speculate about a possible structural model. These results show that the unique molecular link between Cav-1 and cholesterol can spur functional order in a lipid bilayer strictly derived from biological sources.

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