Anonymisierung und Pseudonymisierung qualitativer textbasierter Forschungsdaten (Qualiservice)
data anonymisation
Qualiservice
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 – Trainings
metadata
trainings
english
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
user guide
english
ZPID
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
DDI
english
DDI is an open standard (metadata model) for the description of social and economic data.
FDMontheground
data curation
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
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.
Ingest and Curation
data ingest and curation
Chapter 4/ CESSDA Data Archiving Guide
self-study
course language (english)
The purpose of this chapter is to describe the steps necessary to guarantee high quality data, documentation material and metadata so that they can be archived and provided to secondary users while ensuring data security and protection against loss and damage.