Data interoperability: A practitioner's guide to joining up data in the development sector.
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González Morales, Luis Gerardo
Collaborative on SDG Data Interoperability
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The Guide is structured around five areas that the Collaborative has collectively identified as being integral to the development of more interoperable data systems at scale over time: 1. Interoperability, data management, and governance; 2. Canonical data and metadata models; 3. Classifications and vocabularies; 4. Standardized interfaces; and 5. Linked data. The five areas covered by the Guide address some of the key dimensions needed to scale interoperability solutions to macroscopic and systemic levels. The Guide has been developed as a practical tool to help improve the integration and reusability of data and data systems. New sections, examples and guidance will be added to the Guide over time to ensure its continued relevance and usefulness in this fast-evolving space. Not all chapters will be relevant to all audience groups. We envisage that the introduction and first chapter will be most relevant to those engaged in policy, management and planning work; with the r.....
PublisherUnited Natons Statistics Dvision
CitationGonzález Morales, Luis and Orrell, Tom (2018) Data Interoperability: A Practitioner's Guide to Joining Up Data in the Development Sector. United National Statistics Division, 60pp. DOI: