New to using data

Welcome to the resources section

Here you can find guidance and training to help you access and use data. From the learning hub you can browse resources about types of data, software, computational social science, research data management, geography, and teaching. Below, we highlight resources especially useful to new users. Watch our video guide: Tour of the UK Data Service website.

Secondary data analysis

Secondary analysis of qualitative and quantitative data

Secondary analysis is the reanalysis of either qualitative or quantitative data that has already been collected for a previous study, by a different researcher typically looking to address a new research question.

Research data are collected across a range of social science disciplines using a variety of research methods. Social surveys and interviewing projects represent the most common methods, but primary data can also be gathered from fieldwork observation, diaries, self-completion questionnaires and other activities. Administrative and routine business data collected in the course of government activities also represent a rich source of statistical information. These resources represent an abundant stock of material that can be reanalysed, reworked, used for new analyses, and compared or combined with contemporary data.

In time, archived data become historically important research materials. Using existing data also enables research where the required data may be expensive, difficult or impossible to collect, for example in the case of global administrative data, large-scale surveys or historic data.

The Economic and Social Research Council (ESRC) promotes secondary analysis through its Secondary Data Analysis Initiative (SDAI). The aim is to deliver high-impact policy and practitioner-relevant research through the deeper exploitation of major data resources.

Find out more about secondary analysis from our Reusing qualitative data guide (PDF).

Data skills modules

We provide on-demand interactive modules, designed for anyone who wants to start using secondary data.

Why share research data?

Share your data and help support long-term research access to important data resources that support wider society. The Economic and Social Research Council (ESRC) fully supports data sharing and was the first UK funding body to adopt a formal data sharing policy. ESRC award holders are contractually required to offer all created research data to the UK Data Service (or another responsible repository) for archiving and dissemination.

Share research data to enable:

  • The scrutiny of research findings.
  • Replicability of research.
  • Greater transparency and accountability of your research.
  • Greater impact and visibility of research.
  • Credit for research outputs.
  • Potential for increased citation rates.
  • New collaborations between data users and data creators.
  • The improvement and validation of research methods.
  • Cost savings by not duplicating data collection.
  • Promotion of innovation and potential new data uses.
  • Greater return on investment for research funders and researchers.
  • Great resources for education, training and Knowledge Exchange.

Journals and publishers increasingly require data that underpin publications to be shared or deposited within an accessible database or repository for analysis by readers.

UK Research and Innovation (UKRI) have prepared a set of common principles on data policy, which provide an overarching framework for individual research councils.

Many other funders such as the Natural Environment Research Council (NERC)the Medical Research Council (MRC)the Biotechnology and Biological Sciences Research Council (BBSRC)the Engineering and Physical Sciences Research Council (EPSRC)Cancer Research UK and the Wellcome Trust have similar data policies that mandate or encourage researchers to share data.

Cite data correctly

Any research publication, whether printed, electronic or broadcast, based wholly or in part on the data collections accessed through the UK Data Service must be accompanied by the correct citation and acknowledgement information. And it is best practice to cite any data correctly.

Use our data citation tool

Our citation tool is designed to make citing data easy and straightforward. You will find it on every catalogue record page.

Citation tool example with an embedded link The citation for this study is: Dembinsky, M. (2015). Breast awareness among black women in East London 2013-2015 . [data collection]. UK Data Service. SN: 851845, DOI: 10.5255/UKDA-SN-851845

The tool provides you with a full and accurate citation for that dataset in a format of your choice e.g. APA, DataCite, Harvard.

By clicking on the select citation format box you will get a drop down menu of formats. Simply choose the format you require and the citation will change accordingly.

You can then copy and paste that citation and use it in the acknowledgements section of your research document.