In addition to the creation, processing and analysis of scientific research data, securing and making data available are important prerequisites for competitive and innovative research. Standardized data management along the data lifecycle is essential to ensure high data quality and data protection requirements.
GESIS archives data from quantitative social research and makes it available to the scientific public. In order to ensure transparency and quality assurance, compliance with international standards with regard to careful documentation, secure archiving and transparent dissemination is a priority.
Do you want to publish your collected quantitative primary data?
GESIS supports you in the preparation and free of charge provision of your quantitative research data in the GESIS data archive. The archiving process consists of 4 steps:
General information on archiving in the GESIS data archive can be found here: https://www.gesis.org/en/services/archiving-and-registering/data-archiving
With the help of datorium you can independently initiate the archiving of your research data: https://data.gesis.org/sharing/#!FurtherInformation
An online tutorial on data management is provided by the Consortium of European Social Science Data Archives (CESSDA): https://www.cessda.eu/Research-Infrastructure/Training/Research-Data-Management
The GESIS Self Archiving Tool "datorium" enables researchers to document and publish their work independently via an online platform. https://data.gesis.org/sharing/#!FurtherInformation
da|ra refers to the registration agency for social and economic data operated jointly by GESIS and ZBW. It serves the international registration of research data by means of the persistent identifier "DOI".
DOI stands for "Digital Object Identifier" and enables a unique identification of digital objects such as scientific texts and data and thus enables a simple and standardized citation. Further information here: http://www.doi.org/faq.html
Metadata serve the standardized description of research data sets and contain information about methods used, measuring instruments, field work, data set structure etc.
Data Documentation Initative (DDI) is an open standard (metadata model) for the description of social and economic data according to the research data life cycle. DDI metadata contains information on study design, data collection, data processing and evaluation, as well as secondary use and archiving. Source: https://www.ratswd.de/ver/docs_Archivierung_2011/zenk-moeltgen.pdf
Citation of research data and documentation:
The use of secondary data, e.g. provided by the GESIS Data Archive, requires an appropriate bibliographic citation of the data including information on originator, location and identification. Recommendations and information on citing research data can be found here: https://www.gesis.org/en/services/data-analysis/more-data-to-analyze/data-archive-service/citation-of-research-data