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Sharing scientific data with the objective of making it discoverable, accessible, reusable, and interoperable requires work and presents challenges being faced at the disciplinary level to define in particular how the data should be formatted and described. This paper represents the Proceedings of a session held at SciDataCon 2016 (Denver, 12-13 September 2016). It explores the way a range of disciplines, namely materials science, crystallography, astronomy, earth sciences, humanities and linguistics, get organized at the international level to address those challenges. The disciplinary culture with respect to data sharing, science drivers, organization, lessons learnt and the elements of the data infrastructure which are or could be shared with others are briefly described. 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, social aspects are more challenging than technological ones. Governance is more diverse, often specific to the discipline organization. Being problem-driven is also a key factor of success for building bridges to enable interdisciplinary research. Several international data organizations such as CODATA, RDA and WDS can facilitate the establishment of disciplinary interoperability frameworks. As a spin-off of the session, a RDA Disciplinary Interoperability Interest Group is proposed to bring together representatives across disciplines to better organize and drive the discussion for prioritizing, harmonizing and efficiently articulating disciplinary needs.

The surviving corpora of Greek and Latin are relatively compact but the shift from books and written objects to digitized texts has already challenged students of these languages to move away from books as organizing metaphors and to ask, instead, what do you do with a billion, or even a trillion, words? We need a new culture of intellectual production in which student researchers and citizen scholars play a central role. And we need as a consequence to reorganize the education that we provide in the humanities, stressing participatory learning, and supporting a virtuous cycle where students contribute data as they learn and learn in order to contribute knowledge. We report on five strategies that we have implemented to further this virtuous cycle: (1) reading environments by which learners can work with languages that they have not studied, (2) feedback for those who choose to internalize knowledge about a particular language, (3) methods whereby those with knowledge of different languages can collaborate to develop interpretations and to produce new annotations, (4) dynamic reading lists that allow learners to assess and to document what they have mastered, and ( 5) general e-portfolios in which learners can track what they have accomplished and document what they have contributed and learned to the public or to particular groups.

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The Perseids project provides a platform for creating, publishing, and sharing research data, in the form of textual transcriptions, annotations and analyses. An offshoot and collaborator of the Perseus Digital Library (PDL), Perseids is also an experiment in reusing and extending existing infrastructure, tools, and services. This paper discusses infrastructure in the domain of digital humanities (DH). It outlines some general approaches to facilitating data sharing in this domain, and the specific choices we made in developing Perseids to serve that goal. It concludes by identifying lessons we have learned about sustainability in the process of building Perseids, noting some critical gaps in infrastructure for the digital humanities, and suggesting some implications for the wider community.Keywords: infrastructure; digital humanities; data sharing; interoperability; research data OverviewThe Perseids project provides a platform for creating, publishing, and sharing research data, in the form of textual transcriptions, annotations and analyses. An offshoot and collaborator of the Perseus Digital Library (PDL), Perseids is also an experiment in reusing and extending existing infrastructure, tools, and services. This paper discusses infrastructure in the domain of digital humanities (DH). It outlines some general approaches to facilitating data sharing in this domain, and the specific choices we made in developing Perseids to serve that goal. It concludes by identifying lessons we have learned about sustainability in the process of building Perseids, noting some critical gaps in infrastructure for the digital humanities, and suggesting some implications for the wider community. General ApproachesWhat constitutes infrastructure, and how does it facilitate data sharing in the domain of DH, and in the Perseids project in particular? According to Mark Parsons, Secretary General of the Research Data Alliance (RDA), infrastructure can be defined as 'the relationships, interactions and connections between people, technologies, and institutions that help data flow and be useful (Parsons 2015). ' In the realm of DH, any of the following might be considered infrastructure: original digital collections, linked data providers, general purpose and domain-specific platforms, content management systems (CMSs), virtual research environments (VREs), online tools and services, repositories and service providers, aggregators and portals, APIs and standards. Table 1 provides some specific examples of these in the DH and digital classics (DC) communities, illustrating the diversity and breadth of infrastructure in this community.Enabling data sharing includes ensuring that data objects have persistent, resolvable identifiers, providing descriptive and structural metadata, providing licensing and access information, and using standard data formats and ontologies. The recent W3C recommendation 'Data on the Web Best Practices' (Loscio, et. al. 2016) cites many strategies such as providing version history, provenance information, and da...