AI-Enabled Research Data Management Winter School - Building AI-ready, FAIR, open and sustainable research data practices.

This Article Is Licensed Under CCO For Maximum Reuse. The following is a Table of Contents that links directly to specific sections within the guide: Table of R

BHL is beginning a major modernisation of its platform. We’d like users to help shape what comes next. This 3–5 minute survey asks about how you use BHL and the improvements you’d like to see. Your r...

Figure 6.1: Planning in the research project life cycle. Planning data management is distinct from the two-to-five-page data management plan (DMP) discussed in Chapter 5. Here we are spending a...

The most powerful, simple and trusted way to gather experience data. Start your journey to experience management and try a free account today.

The twin scholarly booms of the 2010s, digital humanities and public humanities, introduced a relatively accessbile suite of platforms for managing digital and digitised content. Sudden interest in...

Artificial intelligence is reshaping the research and information environment in consequential ways. To help research library leaders think strategically about those changes, the Association of Resear...

Research libraries as key partners for reliable knowledge in the digital age: challenges, opportunities and recommendations. Reliable knowledge is an essential public good for science and the future p...

Old, New, Precarious Data is the first event of the 2025-2026 DHRH flagship seminar series on incompleteness and loss in digital cultural heritage collections.

YouTube video by Swiss Academy of Sciences SCNAT

AI-enabled web browsers are putting their users' data, security, and privacy at risk from rudimentary prompt injection attacks.

An intensive international study was coordinated by the European Broadcasting Union (EBU) and led by the BBC

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EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model — a milestone in generative AI for trans...

Virtual workshops and drop-in sessions to help organisations to develop or update research data and software management policies.

The automated extraction of Resource Description Framework (RDF) triples from unstructured text is crucial for transforming raw information into structured, machine-readable knowledge. RDF triples pro...

ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM ma...