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Evidence Based Social Intervention: Data & Statistics

UK Data Service

A unified point of access to data from ESDS, Census Programme, Secure Data Service, and others.

UK Data Archive

Curator of the largest collection of digital data in the social sciences and humanities in the UK, provides a range of services supporting creators and users of social and economic data.
transparency school child health-well-being-and-care disclosure NERC_DDC health spend-transactions care children Spending Data local-government finance nhs Environment health-and-social-care population Health education communities

Int'l Data

The largest data archive in the world offering digital files containing social science research data for US and international micro data.
Search for data or download datasets (you have to register to set up a MyData account whilst on campus).
Extensive help pages are available.
Statistical databases and series plus full-text books, periodicals and reports released by the OECD, OECD Development Centre, PISA, and ITF containing new and unique citation tool for datasets and tables.

Counseling Transcripts

A searchable collection of real transcripts of therapy and counseling sessions and first-person narratives illuminating the experience of mental illness and its treatment, as well as reference works to contextualize the primary material. Includes more than 2,000 session transcripts, 40,000 pages of client narratives, and 25,000 pages of secondary reference material.


The Global Health Observatory (GHO) database, the WHO's main health statistics repository.
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SHARE The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national panel database of microdata on health, socio-economic status and social and family networks from 20 European countries (+Israel) aged 50 or older.
The SHARE data can be downloaded from the SHARE Research Data Center or GESIS Data Archive for the Social Sciences under certain conditions.


Landscan Global Population Database

A population database that maps geographical distribution of a populace within cells of one-kilometre resolution over a 24 hour period. This allows assessment, estimation and visualisation of populations reacting to disease outbreaks, social upheaval or natural disasters. The modelling process uses sub-national level census counts and other data for each country combined with high resolution imagery analysis.