25 Jun

CC signals – an introduction

Training ENG

Creative Commons (CC) announced the public kickoff of the CC signals project. This is a proposed framework to help content stewards (including those who share scientific datasets) express how they want their works used in AI training. The project emphasizes reciprocity, recognition, and sustainability in machine reuse.

24 Jun

Open Source Software and Open Science: A productive pair

5:00 PM – 6:00 PM Abroad Training ENG

Join the upcoming Coffee Lecture "Open Source Software and Open Science: A Productive Pair," held online under the auspices of ZBW. Discover how open source software can accelerate research and what hinders its adoption in economics, along with practical examples and tips to help you navigate your way toward effective and open research.

19 Jun

TIER2 webinar: building a Reproducibility Monitoring Dashboard (RMD)

11:00 AM – 12:00 PM Training ENG

The TIER2 project presents a hands-on demonstration of the Reproducibility Monitoring Dashboard, designed to monitor the reproducibility and reusability of research outcomes across various topics, fields, projects, and funding calls. Can get to know how this tool can enhance the way they track and evaluate research reproducibility.

16 Jun

4th Annual Conference of Norwegian Reproducibility Network: National Symposium on Responsible Open Science

9:00 AM – 3:30 PM Conference Abroad ENG

This year, NORRN joins forces with the Centre for Medical Ethics (CME) at University of Oslo for a national discussion on Responsible Open Science.

10–12 Jun

Core Technologies for Life Sciences Congress 2025

8:30 AM – 3:30 PM Conference Abroad ENG

CTLS 2025 is an international conference for professionals from core facilities and research centers dedicated to advanced technologies and infrastructure. The event provides a platform to share the latest insights, best practices, and build a community to support cutting-edge research.

3–5 Jun

Summer School for Data Stewards

9:00 AM – 5:00 PM Training CZ

The Summer School for Data Stewards is aimed at educating and upskilling professionals in the field of scientific data management and protection. Participants can look forward to hands-on workshops, lectures and discussions with experts in the field.