In Practice

Good open science is not simply about providing access to data at the end of a project. It means thinking about the process from the time data is first created to the time it is retired. This typically includes stages such as planning and design, data collection and acquisition, processing and analysis, and dissemination and storage. The goal of the data management life cycle is to ensure that data is properly managed and used in a way that maximizes its value. This includes ensuring that data is accurate, accessible, and secure, and that it is used in a way that complies with relevant regulations and standards.

Ask a librarian

The EPFL Library has a dedicated team to help you navigate some aspects of the Open Science landscape. You can find out how they can help by browsing by category above.

The video below also gives you an overview of their services.

Food for thought

Source: Wikimedia Commons – Photo by Stewart Butterfield, CC BY 2.0

Do You Want to Know More?

Read more

A non-exhaustive list of useful sources, including general information, opinion pieces, policy briefs and concrete examples