Friday 2:15 p.m.–3 p.m.

dacets: research data management for individual scientists

Ivan Zimine

Audience level:
Lecture Room E4


Academic research data management is an unsolved problem at the level of individual scientists and small research groups. This is a huge barrier to efficient data sharing for collaboration, quality assessment, scientific claims verification and ultimately reproducibility of research results. Dacets is a new python project aiming to address some of these problems.


Scientific instruments generate more and more data, but many scientists don't have the knowledge nor affordable tools to handle the data. Little help or resources are available at the institutional level. This puts research data at significant risk of loss, difficulty of data reuse and multitude of other factors that impact negatively on scientific progress and add to the cost of scientific experiments.

In this talk I will introduce the problem of research data management in general, review some existing solutions and present dacets (faceted data sets) - a new python project that aims to ease some of the pain points.