How to manage your research data

Academia Raetica, Fachhochschule Graubünden

General information and fee

Fully booked :) Email to daniela.heinen(at) to be put on waiting list.

  • Dates: April 11, April 25, May 2, May 16 (all Mondays), ONLINE COURSE

  • Time: each date from 14:00 to 17:00

  • Language: English

  • Target audience: primarily PhD students, open to other interested scientists

  • Course fee for participants from Academia Raetica member or partner institutions: CHF 150

  • Registration deadline: April 7

  • External participants: CHF 250

  • Max. number participants: 12 (min. number participants 8)

  • Our terms and conditions

  • Credit points: This training requires 12 hours of attendance plus an optional assignment for participants who will need ECTS. Please check with your supervisor at your university, if the course counts towards ECTS.

  • Course certificate: You will receive a certificate of attendance, if you attend the entire course.


Knowing how to manage and organize research data is becoming one of the sine qua non conditions to guarantee the quality, durability and reproducibility of your research. Moreover, many funding agencies such as the Swiss National Science Foundation (SNSF) and the European Commission (for Horizon Europe and ERC grant applications) are requiring that a data management plan be in place in order to receive research funding.

This introductory course will offer you the keys to develop the essential knowledge, resources and skills to optimize the management of your research data and increase your chances of complying with funding agencies’ requirements.

The objectives of our workshop are the following:

  • To acquire the fundamentals regarding research data management and discover the resources at your disposal to better manage your data,

  • To be familiar with the best practices regarding research data management throughout its life-cycle,

  • To grasp the benefits of these practices and better learn how to answer the new requirements from funding agencies,

  • To know the best resources and tools to optimize the preparation of your research data management,

  • To find out more regarding the legal aspects and to share your experience regarding research data management with your colleagues.

Course outline

  • A general introduction to Research Data Management (RDM), Data Management Plans (DMP), FAIR principles and key topics along the research data lifecycle.

  • Active research data management (ELN, LIMS, etc.)

  • Dealing with intellectual property, privacy, and legal questions

  • Open Science – Open Research Data – Open Access

  • Long-term preservation of research data

Methods & Tools

The workshop is split into four modules: a) a general introduction to data management, data management plans and helpful tools on the first day and b)-c) a closer look at specific aspects of research data management on the days to follow.

Prior to the first workshop, the participants will fill out a questionnaire with specific questions. Based on the outcome, the trainers will adjust the topics according to the respective knowledge, experience and needs of the participants regarding research data management.


Some of the questions we will answer during this workshop:

  1. Why does RDM & DMP matter so much when we conduct research and manage data?

  2. What is Research Data Management (RDM) and why is it relevant for you?

  3. What is a Data Management Plan (DMP) and how does it apply to you?

  4. Concretely why does a DMP matter and how do we write one?

  5. What are the most relevant best practices and tools in general and in your discipline?

  6. Which are some of the legal questions to take into consideration?

  7. Which resources are available to guide you?

About the Trainers

Dr. Aude Bax de Keating  is the Open Science Program Co-Coordinator at swissuniversities and has specialized in Open Science since 2014. From 2014 to 2018 she managed the personalized support service to guide researchers in the preparation of their Data Management Plan (DMP) at the Ecole Polytechnique Fédérale de Lausanne (EPFL). At the national level, she led the first track of the Swiss national project dedicated to Data Life Cycle Management (DLCM), which aims at offering RDM tailored tools, training and services. Thanks to a constructive and fruitful collaboration across Swiss institutions and organizations, this team provided sustainable resources and tangible solutions regarding DMP, guidelines and policies for Switzerland. Aude has been offering presentations, training and workshops in the Netherlands, Germany, France and Switzerland to optimize research data management. Bilingual in French and English, she received her PhD from Duke University.

Dr. Ana Petrus is the Associate Professor of Data Management at the Swiss Institute for Information Science of the University of Applied Sciences of the Grisons (FH Graubünden). Her research specializes on data management in the STEM and interdisciplinary fields, as well as FAIR principles and Open Science. She was instrumental in developing best practices and guidance on data management plans as part of the Data Life Cycle Management (DLCM) project phase 1. Previously, she held an appointment as consultant and lecturer for research data management at the ETH Library of the ETH Zurich, where she taught and advised researchers and students on topics along the entire data life cycle. Before switching to information science, she worked in climate research, after studying environmental sciences at ETH Zurich, where she completed her doctorate in the field of atmospheric physics.

Image by G. Altmann / Pixabay

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