Introduction to Social Research Data Management

 

About this course

About this course

The training is designed for beginner and advanced researchers seeking to increase their competence in social science research data planning and management. In this training, participants are introduced to the basic concepts and practical challenges of social research data management. Lecturers present the CESSDA ERIC Data Management Guide and its main subtopics. The training includes practical assignments with discussions of the challenges in their solutions.

 

You will learn:

Training participants will improve their competencies in planning and managing social science research data (both beginners and advanced researchers). Participants will gain knowledge about the basic concepts of social research data management, practical challenges and possible solutions. Lecturers will present the Data Management Guide developed by CESSDA ERIC and its most important subtopics. The training will present practical assignments and discuss the challenges of solving them.

 

ŽVALIAUSKAS Giedrius

phone:
el. p. giedrius.zvaliauskas@ktu.lt

Start date: Upon request
Duration: 8 ac. hrs.
Language: English, Lithuanian
Price: Free
Method of organisation: Distance learning
Skill area: Advanced technologies, Digital transformation
Certificate: Issued

MORKEVIČIUS Vaidas

Dr. Vaidas Morkevičius is an associate researcher at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU, and a professor in the research group "Civil Society and Sustainability", Faculty of Social Sciences, Humanities and Arts, KTU. His research interests include: political communication, attitudes and behaviour of citizens and elites, social structure and inequality, social research methods. With Zenonas Norkus, he published the textbook "Qualitative Comparative Analysis" in 2011. Since 2002 he has taught various research methods courses at KTU, VMU and ISM. From 2008-2018 he was the National Coordinator of the European Social Survey in Lithuania. As a co-author, he has contributed to the development of statistical analysis of quantitative data and computer-assisted qualitative data analysis training materials. He has more than 15 years of experience in training and consulting on quantitative data analysis software.

ŽVALIAUSKAS Giedrius

RAULECKAS Rimantas

Dr. Rimantas Rauleckas is Associate Professor at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU. His research area is Public Governance, and his main taught module is Social Research Methods. His research applies statistical analysis methods to survey data. As a co-author, he has contributed to the development of training material on statistical analysis of quantitative data.

TELEŠIENĖ Audronė

Dr. Audronė Telešienė is Professor of Sociology and Head of the Data Analysis and Archiving (DAtA) Centre (Faculty of Social Sciences, Humanities and Arts, KTU). Her research interests include environmental behaviour and attitudes, social perception and communication of climate change, social welfare studies and social research methods. Her research uses systematic literature analysis alongside other qualitative and quantitative methods.

 

Skill areas

Digital transformation
sustainable development
advanced technologies
entrepreneurship and innovation
personal development and leadership
 

Contacts

K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt