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This page contains individual articles and older articles from the FSD Bulletin.

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From DDI-C XML to Graph Databases: Modelling Research Metadata as Connected Knowledge

A single study can be connected to different authors, organizations, funders, topics, keywords and many other fields. Graph databases make relationships explicit, offering a promising way to explore and reuse DDI-C metadata.

Anonymisation of Qualitative Data

It is often claimed that qualitative data cannot be anonymised. It is indeed particularly challenging to anonymise video or audio data, but FSD provides guidance for anonymising textual data, as such data can be anonymised. Texts may include transcriptions of interviews or writings produced by individuals for research purposes.

Increasing Trustworthiness of European Digital Repositories: FSD's Contribution to the FIDELIS Project in 2025

Drawing on its experience as a certified trustworthy digital repository and CESSDA Service Provider, FSD helps ensure that project outputs are sustainable, and usable for repositories at different stages of maturity across Europe.

AI for Verifying Text File Anonymisation: A Powerful Assistant Under Expert Guidance

Artificial intelligence may detect identifiers more accurately than a human. Properly guided AI can speed up the verification of anonymisation, provided it is implemented thoughtfully and with data protection practices in mind. However, reliability varies.

Data collection with Penna produced a record amount of data

Since 2017, Penna has been used to collect dozens of textual research materials on diverse topics. The most prolific collection in Penna’s history has been by researcher Marjo Ring, who gathered writings from practical nurses and nurses who left the profession, detailing their experiences and reasons for the change.

A Quarter of a Century of FSD and Data Archving in Finland

For over 25 years, FSD has fulfilled its national role as a separate unit of Tampere University, witnessing numerous changes in its operational environment and the general attitude towards the management and openness of research data.

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