#SRDD2020 Session

Session

Panel 5

Time

15:00-15:15

Title

Developing short and flexible training programs in Open Science and Research Data Management

Speaker(s)

René Schneider PhD

Nicolas Tregan

Abstract

The future of training is about the compression of content, the exploration of knowledge and about enabling to teach others and finally – according to Senecas dictum “docendo discimus” –  to learn from them.

In the last years, we have been following and testing different approaches to achieve these goals:

1. The rather new format of microlearning allows us to reduce content to a maximum in order to keep the level of concentration high by integrating technical devices that we use constantly in our daily lives, especially smart phones.
2. Prior to that, we found out that it is important to have a clear idea about the major competences to achieve and the skills that are connected to them in order to arrange and combine them in a coherent way, with respect to the needs of the target group, the time at disposal and the context given. These conclusions lead to the development of an agile and modular approach to develop mutually training programs of different sizes. The approach – named the Metro Map Method – was tested in the domain of research data management and data curation but is applicable to any other domain too.

In our talk, we will present two realizations created recently: a microlearning prototype for open science (MILOS - developed for swissuniversities) and a train-the-trainer approach for data curation named Train2Dacar.