Introduction to Data Management in Science

Scientific data and publications are increasing at an exponential rate, which makes data and knowledge discovery ever more challenging.

Good data management practices are key to alleviating this problem, by ensuring that data is published in a FAIR (findable, accessible, interoperable and reusable) way. This has been recognized by funding agencies throughout the world, which now commonly demand open science policies from their fundees, and by publishers, which are starting to require that the data associated with a scientific publication be published in accordance with the FAIR principles.


Introduction to Data Management in Science is a one-hour lecture that introduces the topic of data management, discusses its relevance in modern science and the benefits that derive therefrom, reviews the state-of-the-art with respect to data management best practices, and demonstrates how to put them into practice.