Social Science Data Management

The aim of ČSDA's user communication strategy is to promote secondary social data analysis in general. Beside others this strategy includes providing on-line information, publishing teaching materials and manuals concerning data resources, data management and methods of data analyses. ČSDA also participates in teaching programs at major Czech universities by providing courses and lectures in data management, data resources, data quality and survey methods, and statistical data analysis. This subsection of the ČSDA's Web provides brief introductions and overviews of following:

Publications relevant to the topics of data management and data resources

Introduction to the management of social survey data.

by Jindřich Krejčí

Published by the Institute of Sociology, Academy of Sciences of the Czech Republic
Prague 2014. 64 pages

ISBN 978-80-7330-252-8.


Book description: Although the construction of databases, data processing, documentation and other operations with data may have a fundamental influence on research results, the management of data rarely receives attention as a separate subject in the methodology and practice of survey research. More often it gains attention only in the form of individual and isolated tasks during different stages of the research process. This, however, might pose a problem, because there are ample good reasons for paying attention to data management on a systematic and ongoing basis.
The quality of data management affects the quality of data and importantly determines the adequacy of research findings. This also applies at a more general level, namely to the building of a good environment for research work. Systematic data management is, above all, a necessary condition for preventing errors and false findings, but it can also save a lot of time and make research work both clearer and easier. An abundance of stories about ridiculous mistakes caused by analysing incorrect data circulate among researchers; many analyses have failed because of flawed datasets; and numerous researchers have spent long hours disentangling poorly documented data. Much research information has got lost due to disorder in datasets and a lack of effort in their documentation.
Higher demands are placed on data management, compared to independent research work, especially when we plan the long-term preservation and sharing of data between different research teams. In recent years, the requirements of archiving and providing open access to social science data for the purpose of secondary data analysis have become highly important parts of scientific work. Consequently, demands on professional data management have also risen. Moreover, such higher demands are not an end in itself; they arise directly from new developments in empirical social research and methodology.

Theory, Data and Analysis
Data Resources for the Study of Politics in the Czech Republic

By Pat Lyons

Published by the Institute of Sociology, Academy of Sciences of the Czech Republic
Prague 2012
ISBN 978-80-7330-219-1
Pages: 403


Book Description: This book is unique as it is the first comprehensive study of the corpus of political data available in the Czech Republic. Rather than being a descriptive inventory of what is available and where the data are archived; this study also explains who undertook the research that created the data, how the data were created and equally importantly why was the data research undertaken in the first place. It is widely accepted within the social sciences that the “data do not speak for themselves but must be interpreted.” For this important reason, any discussion of political data resources must be accompanied by an explanation of the context in which the data were created, operationalised, modelled and used to explain real world political phenomena. Within this book the presentation of the data resources available to the community of political scientists interested in the Czech Republic is presented in a functional manner where the general purpose of the data is emphasised. Consequently, the overview of data is divided into five groups which form the basis of chapters in this study: (a) election survey data, (b) official election results, (c) comparative survey data, (d) elite survey data, (e) expert and manifesto survey data. In order to demonstrate the characteristics and importance of specific datasets a brief examination is made of the published research associated with the data. This is important because it provides the student and researcher with a starting point for beginning their own research work. The final chapter of this volume explores some of the key methodological features of survey data such as quality and sampling; and statistical methods used to examine the data.


Cesty k datům. Zdroje a management sociálněvědních dat v České republice.

Krejčí, Jindřich,
Yana Leontiyeva (eds.)

Published by SLON
Pages: 470
ISBN 978-80-7419-111-4

In Czech language

The book is divided into two parts. The first part focuses on the issues of data management in social science research and tasks undertaken by social data archives vis-a-vis the technologies and standards used for data access. There is also some discussion of data harmonisation in comparative research. The second part consists of ten descriptive studies examining specific data sources available to those undertaking reserach on Czech society.

Recommended book published by colleagues from the UK Data Archive

Managing and Sharing Research Data
A Guide to Good Practice

Louise Corti - Veerle Van den Eynden - Libby Bishop - Matthew Woollard

SAGE, March 2014

Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today’s changing research environment.