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Addressing global scientific challenges that depend on cross-dis= cipline integration remains difficult. The challenge is to make cross-disci= pline data integration a routine aspect of data-driven science. Shared voca= bularies and metadata specifications are vital tools enabling integration a= nd semantic linking of data within and between disciplines. Standards tend = to get developed and adopted within disciplines or application domains with= little consideration of cross-discipline requirements and technologies. Th= e goal of this workshop is to identify a combination of vocabularies and te= chnical specifications that will apply broadly across domain boundaries.
This workshop builds on the outcomes of a first Dagstuhl meeting in 2018= (description and report), further exploring how me= tadata standards can best support interdisciplinary research projects. The = 2018 event identified commonalities between several relevant standards, cha= rting a direction for future work. The focus in 2019 will be more technical= , looking at detailed aspects of identified approaches, and with specific e= xamples provided in the outputs.
Outcomes will include detailed description of the steps required in deal= ing with data, i.e. discovery, harmonization, preparation for analyses, pub= lication of data for reuse. An outline of this process view will be support= ed by more detailed documents covering each phase. Documents will describe = current practice and the improvements for data providers and researchers po= ssible through the use of agreed metadata standards. Often several standard= s or approaches are currently used and/or available. The pros and cons of e= ach standard for each of the stages should be discussed in terms of coverag= e, acceptance, popularity, software support, and development potential. A s= et of projects from among those covered in the last workshop will provide c= oncrete case studies.
This work will serve as the basis for a draft set of guidelines for cros= s-domain projects, to be promoted more widely. Both the specific projects a= nd more generic requirements will be addressed.
Each area will cover:
The focus will be on two or three case studies. It will be necessary for= each to be represented by two very well-informed individuals: one a senior= researcher or decision maker who understands the research questions and th= eoretical concepts addressed by the case study; the other an expert in the = data itself, with a deep knowledge of the data sources, data formats, thesa= uri, code lists, relevant metadata specifications, and software.
In addition to the case study representatives, the workshop will be atte= nded by experts in various metadata standards who are open-minded, and able= to see how the different standards could work together to achieve an optim= al result. The workshop will also include people who are able to quickly pr= oduce examples of data and workflow descriptions in the formal notation of = the chosen metadata standards and who understand how these examples would b= e used in software applications and be able to describe their relevance. Li= nked Data, JSON, XML and UML may all play a role in the examples.
This workshop will be conducted through a combination of plenary meeting= s and breakout groups to maximise the use of participants=E2=80=99 time and= the outputs produced. As well as the guidelines for cross-domain pro= jects, and technical support documents, it is expected that the workshop wi= ll result in one or more academic articles on the topics addressed.