To ensure scientific processes and results being transparent and accessible is the core idea behind ‘Open Science’. This includes a complete list of research materials and procedures, all sets of raw data and the line of argumentation and discussion of the results.
In order for research results to be shared and applied globally we will discuss options and possibilities of Findable, Accessible, Interoperable, and Reusable (FAIR) data management as well as investigate aspects and principles of Open Access, Open Data and initiatives to democratize reagents and equipment.
- Learn about Open Science practices
- Make Research FAIR again
- Historic overview, context and relevance today
- Open Science principles and resources
- Open Access, Open Data, Open Source Hardware
- Guidelines and incentives for Open Science by national and international science authorities (European Commission, DFG, NSF, etc.)
- Comparative investigation of guidelines and incentives for Open Science by publishers
Course duration: 1 day or 2 consecutive days (9am – 5pm)
Number of participants: 8-12
Trainer: Jon Tennant, André Maia Chagas or Jo Havemann
Contact us for a custom proposal
The course can be aligned to your requirements regarding duration, form and content.
Check our list of links to Open Science resources.
Gilbert E & Colbert K (2017). Research transparency: 5 questions about open science answered. theconversation.com