Abstract
Sharing scientific data, with the objective of making it fully discoverable, accessible, assessable, intelligible, usable, and interoperable, requires work at the disciplinary level to define in particular how the data should be formatted and described. Each discipline has its own organization and history as a starting point, and this paper explores the way a range of disciplines, namely materials science, crystallography, astronomy, earth sciences, humanities and linguistics get organized at the international level to tackle this question. In each case, the disciplinary culture with respect to data sharing, science drivers, organization and lessons learnt are briefly described, as well as the elements of the specific data infrastructure which are or could be shared with others. Commonalities and differences are assessed. Common key elements for success are identified: data sharing should be science driven; defining the disciplinary part of the interdisciplinary standards is mandatory but challenging; sharing of applications should accompany data sharing. Incentives such as journal and funding agency requirements are also similar. For all, it also appears that social aspects are more challenging than technological ones. Governance is more diverse, and linked to the discipline organization. CODATA, the RDA and the WDS can facilitate the establishment of disciplinary interoperability frameworks. Being problem-driven is also a key factor of success for building bridges to enable interdisciplinary research.
Highlights
A growing number of scientific communities are improving their organizational abilities to share data in their own and, increasingly, neighbouring fields
International discussion forums can be established as CODATA Task Groups and/or Research Data Alliance (RDA) Interest and Working Groups
The agriculture research community for instance set up an RDA ‘Agriculture Data Interest Group (IG)’ for discussion of the domain interoperability questions
Summary
A growing number of scientific communities are improving their organizational abilities to share data in their own and, increasingly, neighbouring fields. The ultimate aim of MGI is to accelerate advanced materials design in ways that significantly drive economic prosperity, address national and regional energy needs, and bolster national security (National Science and Technology Council 2014) Improving this pipeline requires connecting efforts from a variety of independent but thematically congruent regional, national, and international materials design efforts to: align key stakeholders; connect diverse materials design and informatics expertise; simplify data access; and deploy modern scalable data services to support materials researchers by leveraging and synthesizing existing tools to form a cohesive, interoperable materials data infrastructure. It has already been applied in some related areas of structural science, including nuclear magnetic resonance spectroscopy, 3‐dimensional electron microscopy, chemical structure, materials properties and protein homology modelling
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
