Anonymisierung und Pseudonymisierung qualitativer textbasierter Forschungsdaten (Qualiservice)
data anonymisation
RDM Compas
self-study
course language (german)
Qualiservice’s anonymisation concept replaces sensitive information with socially relevant information. Detailed information on the procedure and examples can be found in our handout.
DataCite Metadaten Schema – Best Practice Guide
metadata
RDM Compas
self-study
course language (german)
The key to making data citable, searchable and accessible is to provide datasets with metadata – descriptions of and facts and figures about the data – that meet basic standards and follow a standardized, consistent schema.
DataWiz
data organisation
RDM Compas
self-study
course language (german)
DataWiz is a free data management system that helps to prepare research data. DataWiz facilitates high-quality documentation in accordance with current standards, enables collaborative and distributed work on projects and ensures the long-term reusability of research data.
DDI – Ein internationaler Standard zur Beschreibung von (Forschungs-) Daten
metadata
RDM Compas
self-study
course language (german)
DDI is an open standard (metadata model) for the description of social and economic data.
Einführung in R
statistics
RDM Compas
self-study
course language (german)
R is a free software environment for statistical calculations and graphics. It can be compiled and runs on a variety of UNIX platforms, Windows and MacOS.
FDMontheground
data curation
RDM Compas
self-study
course language (german)
The aim of the FDMontheground project is to support data curation activities in research data centers. The findings of the project, the revised portfolio of GESIS documentation and training materials, result in new and improved documentation and training materials.
QualiAnon
anonymising data
RDM Compas
self-study
course language (german)
Research that deals with living persons usually contains sensitive information. Anonymization and pseudonymization are key instruments for meeting these requirements to protect the personal rights of research participants, researchers and third parties. QualiAnon enables semi-automatic anonymization/pseudonymization. It enables the marking and replacement of sensitive information and allows various levels of abstraction as well as replacement on a case basis or at study level.