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Data and Statistics for Social Sciences: Home

Purpose of this guide

This guide is intended primarily for researchers and students studying Social Sciences at the University of Oxford. It provides information on where to find general and subject-specific data and statistics, how to manage data, and what tools are available for data analysis. The guide introduces resources available only to the Bodleian card holders as well as freely available to everyone.

News: Bloomberg

From 15 May Bloomberg is no longer available from the SSL library.

Any readers who wish to access this kind of business intelligence can use the Refinitiv Eikon terminal in the data area, as well as online resources such as Capital IQ and others listed on the Data Analysis Tools & Training page of this guide or Economics subject guide.

Those readers who have a particular need to use Bloomberg - perhaps to develop a familiarity with how it works can still access it in the Sainsbury Library in the Said Business School. They will need to email the Sainsbury to arrange to use it.

Social Science Data in the Bodleian

Contact the Bodleian Social Science Library if you wish to ask a question or seek more help .

Training

Mapping crime data in R workshops

The UK Data Service is holding two free workshops on mapping crime data in R on 7 and 8 June.

Crime data often contains spatial components. As a result, analyses of crime data can create patterns that are clearly linked to geography. Naturally, putting the data or analysis on a map makes a lot of sense.

The first workshop, Mapping crime data in R: An Introduction to GIS and spatial data, is on 7 June and will cover some fundamental theories and concepts surrounding GIS and spatial data.

The second workshop, Mapping crime data in R: Live code demonstration, is on 8 June and will be a live code demonstration using R to explore these concepts.
The aim of these workshops is to teach participants to use the R statistical and graphical environment to map open-source police recorded crime statistics onto geographic representations.

Subject and Data Librarian

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John Southall
Contact:
Bodleian Social Science Library
Manor Road, Oxford, OX1 3UQ
+44 (0)1865 2-85936
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