  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.
