Resource Directory

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...

There is a misconception in the research community that the use of secondary data does not entail legal considerations. Secondary data is an intellectual property of the data owner, so any use of that data may require the data owner’s permission or may be subject to certain terms and conditions....

The task reviewed the state of play regarding specific data domains (data provided by academia, official statistics including administrative data, historical, health data and big data that means existing and emerging data types. Experiences and best practices are presented in this report with the...

This deliverable contains the second output of task 3.3 – national development plans for establishing data services in the social sciences in non-CESSDA member countries in Europe. The goal of task 3.3 of CESSDA SaW was to draw up individual national development plans for aspiring CESSDA Service...

This deliverable contains the report of the two “Trust” workshops as well of that of a preceding “CESSDA Expert Seminar”. These workshops were held as part of task 4.3 of the CESSDA SaW project plan (“Development Support: achieving the Data Seal of Approval”) in 2016 and 2017.

This is a follow-up of D3.2. The focus is on identifying what development steps can be proposed to tackle the obstacles in the way of achieving the widened and strengthened CESSDA ERIC. The maturity of data archive service (DAS) in most European countries was audited. The analysis contains elemen...

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.

This online hands-on workshop is aimed at trainers and support staff looking to introduce semi-automated tools in data management training sessions/materials. It will provide a platform for discussion around best practices for introducing researchers to key principles of assessing data quality an...