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The UK Data Archive is curator of the largest collection of digital data in the social sciences and humanities in the United Kingdom. With several thousand datasets relating to society, both historical and contemporary, our Archive is a vital resource for researchers, teachers and learners.We are an internationally acknowledged centre of expertise in the areas of acquiring, curating and providing access to data. Since 2005 our archive has been designated a Place of Deposit by the National Archives allowing us to curate public records. We acquire high quality data from the academic, public, and commercial sectors, providing continuous access to these data while we also support existing and emerging communities of data users.
EDINA delivers online services and tools to benefit students, teachers and researchers in UK Higher and Further Education and beyond.
The History Data Service data collection brings together over 650 separate studies transcribed, scanned or compiled from historical sources. The studies cover a wide range of historical topics, from the seventh century to the twentieth century. Although the primary focus of the collection is on the United Kingdom, it also includes a significant body of cross-national and international data collections. Examples of topics covered include: nineteenth and twentieth century statistics, manuscript census records, state finance data, demographic data, mortality data, community histories, electoral history and economic indicators.
High spatial resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population distribution datasets built using transparent approaches. The WorldPop project was initiated in October 2013 to combine the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims to provide an open access archive of spatial demographic datasets for Central and South America, Africa and Asia to support development, disaster response and health applications. The methods used are designed with full open access and operational application in mind, using transparent, fully documented and peer-reviewed methods to produce easily updatable maps with accompanying metadata and measures of uncertainty.