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Standards are a vital tool enabling integration and semantic linking of = data within and between disciplines. However, standards tend to get develop= ed and adopted within disciplines or application domains with little consid= eration of cross-discipline requirements and technologies, so data integrat= ion can often only be easily achieved within and between closely allied fie= lds. Addressing global scientific challenges that depend on cross-disciplin= e integration remains difficult. The challenge is to make cross-discipline = data integration a routine aspect of data-driven science.
Metadata support data discovery, selection, access and use, and are crit= ical for data integration. Data from different sources/domains should be de= scribed in a way that cross-discipline discovery can detect and access the = relevant data collections, and so that transformations and analyses can be = automated. The use of cross-discipline data should become efficient, scalab= le and reproducible, enabling discipline-neutral data processing and analys= is tools to be applied. Furthermore it would be possible to apply (meta-)da= ta mining approaches and reasoning. In sum, new opportunities of insights a= nd realization will develop.
The workshop will build on a platform provided particularly by the follo= wing activities: (i) two previous workshops on DDI and interoperability wit= h other specifications (1, 2), (ii= ) work to extend and refine DCAT by the W3C Dataset E= xchange Working Group (DXWG), and (iii) the three detailed case studies= and pilots from the CODATA initiative mentioned above. Metadata activities= in the Research Data Alliance provide additional background and context.= p>
There are several different areas where metadata comes into play:
The capability to express discoverable and structured metadata must be a= utomatic and achieved as far as possible using tools that are familiar and = in common use.
Areas of exploration and discussion will identify and describe following= :
The output of the workshop will likely be reports and working documents = on one or more of these topics.
The core objective of the workshop will be to investigate and advance al= ignment between the cross-disciplinary and domain-specific metadata standar= ds, and to bridge from standards focusing on collection-level to variable-l= evel metadata.
Metadata standards that may be considered include (detailed list see below):
Data transformations to prepare data for analysis may be described in ma= chine-actionable form. DDI 4 uses some patterns of BPMN to achieve this, an= d CSV on the Web addresses transformation of tabular data into semantic for= m.
Additional relevant standards are likely to be uncovered during the deve= lopment of the CODATA initiative.