Research Data On Gender Relations In Academia
Research data management and data archiving
In addition to the creation, processing, and analysis of scientific research data, security and availability are essential prerequisites for competitive and innovative research. Standardized data management throughout the data lifecycle is necessary to ensure high data quality and compliance with data protection requirements.
Data lifecycle. Source: UK Data Archive
Research data management enables the professional handling of research data. This allows researchers to maintain an overview of their projects and make their own research comprehensible to others. Research funding institutions and publication bodies increasingly require research data management.
Research data management includes
- Planning through a data management plan
- Organization and preparation of data (structuring and backup)
- Data documentation, in particular through metadata
- Data storage and data security
- Publication and archiving
GESIS supports social science researchers in developing research data management by providing general information, advice, and training.
The information platform forschungsdaten.info is a German-language information portal offering comprehensive information on research data management.
Would you like to deepen your knowledge of data management?
An online tutorial on data management is provided by the Consortium of European Social Science Data Archives (CESSDA) https://www.cessda.eu/Training/DMEG
Data archiving enables the sharing of research data with third parties. GESIS offers three service packages to support the archiving of quantitative social research data. With all packages, your data is described in a standardized way, secured for the long term, assigned a permanent identifier (DOI), and is easily findable and reusable thanks to browser-optimized catalogs. To ensure transparency and quality assurance, compliance with international standards regarding careful documentation, secure archiving, and transparent sharing is a top priority.
Would you like to publish your collected quantitative primary data?
GESIS supports you in preparing and providing your quantitative research data free of charge in the GESIS data archive. The archiving process consists of the following steps:
- Preparation: Clarification of copyright and data protection, documentation of the data, and determination of data formats
- Data access: Clarification of terms of use and data access for users
- Data description: Detailed description using a standardized metadata schema, registration of the data, and automatic assignment of a DOI
- Transfer of data and documents to GESIS: secure transfer of data and initial review of legal, technical, and organizational issues
Further information on archiving at GESIS can be found here: https://www.gesis.org/en/data-services/share-data
