The importance of software for social science
Software programs are critical for handling the complex or large amounts of data available to researchers, and are vital tools for manipulating and analysing data. They are also important for producing graphics of data, mapping and data mining.
The suite of training resources below relate to the most common software tools used by social science data researchers.
Key software tools
Nesstar enables you to search, browse, visualise, analyse and download a selected range of different kinds of social and economic data, from survey data to multidimensional tables.
- Access Nesstar
- Video tutorial: Using Nesstar to download a subset of data
- Video tutorial: How to weight survey data in Nesstar
- GESIS Online Study Catalogue: ZACAT
- The European Social Survey (ESS)
- More information on researching survey data.
QualiBank is the UK Data Service’s search and browse interface for qualitative data objects allowing searching of the content of text files, such as interviews, essays, open ended questions and reports.
UKDS.Stat enables you to extract the information you want from large socio-economic international datasets available at the UK Data Service.
- The UK Data Service .Stat International Macrodata Platform
- A collection of guides for the UK Data Service .Stat International Macrodata Platform
- Video tutorial on accessing, exploring and visualising international data.
Infuse is an open standards structure developed by the UK Data Service to provide easy access to aggregate data from the UK 2011 and 2001 censuses.
Casweb is an interface that provides access to census data from 1971 to 2001.
GeoConvert is a tool that makes it easy to match UK postcodes, census geographies and convert data between them.
Boundary data tools
Through its Census Support service, the UK Data Service provides a selection of tools to enable you to easily analyse census boundary data.
Python is a general-purpose programming language for data scientists to collect, clean, and analyse data. It is often used because it is flexible and suitable for handling large datasets.
- These training materials include webinar recordings, slides, and sample Python code for core social science research tasks.
QGIS is an open source mapping package which can be downloaded for free – it has a good range of functionality and is straightforward to use.
R is a free, user developed, advanced statistical and computing programme for statistical computing. It is increasingly used in the academic world for teaching purposes.
A software package for Windows, SPSS can be used to to produce graphics of data as well as other data analysis.
Stata12.1 is a statistical software package for data analysis. You can use Stata by pointing and clicking, or by using the command syntax.
The software can support complex analysis, and, as it is so programmable, developers and users continue to add new features.
- What is Stata 12.1? (PDF)