Resource Directory

SUPER DADA is a bash script that adapts XML-DDI metadata files produced by Dataverse in order to make them compliant with the technical requirements of the CESSDA Data Catalogue (CDC). This version of the script is geared towards versions 5+ of Dataverse. In its current state, SUPER DADA modifi...

SUPER DADA is a bash script that adapts XML-DDI metadata files produced by Dataverse in order to make them compliant with the technical requirements of the CESSDA Data Catalogue (CDC). This version of the script is geared towards versions 4+ of Dataverse. In its current state, SUPER DADA modifi...

The catalogue provides direct and free online access to the metadata of the surveys and databases that the French Institute for Demographic Studies (INED) has conducted since the 1940s. It also provides access to some of the open access databases produced at Ined. The catalogue is based on NADA,...

Assess derived data from existing resources. This log not only allows others to understand and use data correctly but also ensures that repositories can check the appropriate terms and conditions applicable to onward sharing.

Data/metadata processing and format conversion tool.

This R package can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are...

StatConverter is a tool to convert to and from various statistical software formats: R, SPSS, Stata, SAS (even Excel) and DDI Codebook. The actual conversion is done using the R environment. StatConverter is a graphical user interface using Node.js and Electron, to build cross-platform desktop ap...

Previously Google Refine, this data manipulation tool is used by the UK Data Archive for data cleansing and quality control purposes. It is particularly useful for correcting erroneous text values in tabular data.

Developed by the UK Data Service, this open source tool can be used to automatically assess and report on elements of quality, such as missingness, labelling, duplication, formats, outliers and direct identifiers.

F-UJI is based on a web service to programmatically assess the FAIRness of research data objects based on the FAIRsFAIR Data Object Assessment Metrics. The tool allows assessing the FAIRness of research data at the dataset level.