RDM training

There is a variety of training materials targeted to improve data management skills and knowledge of both researchers and support personnel.

Why are research data management (RDM) skills valuable to researchers?

  • Skills and knowledge related to RDM are the precondition for ensuring the quality of data, the documentation, preservation and reuse of data.
  • RDM skills are needed especially in the beginning of research process when writing data management plans to fulfil the funders’ requirements.
  • Before the data gathering phase begins, it’s imperative that all the permissions and licenses are in order.
  • Furthermore, when opening the data, RDM know-how is needed.

Aalto University provides RDM and open science training 

Webinar recordings on Youtube

Aalto Research Services channel

Please note that only part of the recordings are publihed on Youtube.

Training in Spring 2021

Research Data Management:

  1. How to make your research/code reproducible | 2.3.2021 at 2-3.30 PM | Recording (for Aalto users) | Slides
  2. Introduction to research data management | 11.3.2021 at 10-11 AM | Recording (for Aalto users)  |  Slides
  3. How to store research data | 18.3.2021 at 10-11 AM | Recording (for Aalto users) | Slides
  4. Handling of personal data | 25.3.2021 at 10-11.30 AM | Recording (Openly available on Youtube) | Slides
  5. Working with restricted datasets | 15.4.2021 at 10-11 AM | Slides
  6. Responsible conduct of research, questionable research practices... and possible cures | 28.4.2021 at 10-11 AM | Recording (for Aalto users)

Data Anonymization:

  1. Hands-on data anonymization workshops | 12., 15., 19., and 22.4.2021 | Materials Recordings on Youtube

Open Science and Research:

  1. How to share research data through a repository: A Zenodo example | 15.3.2021 at 1-2 PM | Part 2: How to connect Github releases to Zenodo | Slides
  2. The Open Data Directive and research data licensing |  22.3.2021 at 1-2 PM | Recording | Slides
  3. What's new in publishing? | 30.3.2021 at 1-2 PM | Recording, part 1 (for Aalto users), Recording, part 2 (for Aalto users) | Recording, part 2 (Youtube) | Slides, part 1. Slides for part 2 are not available.
  4. Let's get this metadata right! Maximise the reuse, findability and citation of your dataset | 21.4.2021 at 1-2 PM | Recording (for Aalto users) | Slides

Digital skills:

  1. Winter Kickstart course by Aalto Science IT: Part 1: Introduction to Aalto data analysis strategies and basics of Linux shell (Science IT) | 29.1.2021 at 12-3 PM (Materials) and Part 2: Introduction to High Performance Computing (HPC) with the Triton computing cluster | 1.-2.2021 at 12-3 PM (Materials) | Recordings on Youtube

  2. Making your software useful | 7.4.2021 at 12-1 PM | Recording (for Aalto users) | Slides

Please contact [email protected]

  • If you need information or wish to suggest a topic for future RDM training
  • If you are interested in face-to-face consultations (individual researchers or research groups)
  • If you are interested in ordering a training/workshop on RDM and open science (e.g. for a department, research group, project, doctoral students).

RDM training archive

You will find the slides and recordings of the previous trainings in the archive.

Other tools

 ACRIS - Information on open access publications are collected in ACRIS. ACRIS is also the metadata catalogue of Aalto's research data.

Visual Resource Centre (VRC) - The VRC service helps to find and use high quality, authentic and current visual information sources from a variety of subjects. The VRC offers free visual resources training open for all Aalto University students, researchers and staff including advice on image copyright issues and Creative Commons licenses.

Research identification, e.g. ORCID - Researcher identifiers aim to lessen the problems caused by ambiguity in researcher names. Aalto University recommends ORCID identifier for every researcher.

Learning resources

Name Target group and content Other Assessment
CSC Data Management Youtube channel Short Youtube tutorials on research data management (data management plans (DMPs) and FAIR data services)    
Open Science and Research Data Management course Researchers and PhD students. The course is intended to give you a basic understanding and overview of important concepts about Open Science and Data management within a research setting The course is produced by Kungliga Tekniska Högskolan (Sweden)  
Expert tour guide on Data Management Social science researchers, but  its is useful for all researchers who work with quantitative and qualitative data originating from human participants The course is produced by CESSDA ERIC (the Consortium of European Social Science Data Archives European Infrastructure Consortium). Easy to follow, comprehensive course with good structure. Recommended!
University of Bristol: Research data bootcamp This 30-min online tutorial is appropriate for all members of the University who undertake research with some kind of digital aspect   The tutorial is informative and easy to follow.
Mantra Research Data Management Training Mantra is a web based training course that takes you through the whole RDM-process. Mantra is divided to nine learning modules: documentation and metadata, data management planning, sharing, organising, storing and security. The course offers a general introduction to RDM, no answers to specific how-to-do questions. Mantra is provided by the University of Edinburgh and is updated by the librarians at the University of Edinburgh.  
Avoimen tieteen verkkokurssi/ An open introductory course into the practices of Open Science An open introductory course into the practices of Open Science explains how to make the most of the existing outputs of open research. This course is suitable for anyone interested in Open Science.

Even though most of the course is in Finnish, some of the sections (Open Access as the basic principle of science, Research planning that enables Open Access, Open Science Knowledge Test)  are available in English.
Authentication through Haka.

Finnish Doctoral Studies Network course on open science This is a one-month online course on the elementary issues of open science. It consists of four main sections: open science, open access, open data and open research process.The course is suitable for all beginners in open science topics.

Lots of videos and additional material is attached to the course.
Authentication through Haka.

A good basic course.
Open Science training content by FOSTER A collecion of courses from different topics: open science, text and data mining, responsible research and innovation.The courses are free to read and download, but registration is required. FOSTER Plus (Fostering the practical implementation of Open Science in Horizon 2020 and beyond) is a 2-year, EU-funded project, carried out by 11 partners across 6 countries.  
The Australian National Data Service guides and other resources A collection of guides and resources by ANDS. In addition, page advises on e.g. metadata, citations and FAIR-principles.

The Australian National Data Service (ANDS’) core purpose is to make Australia’s research data assets more valuable for researchers, research institutions and the nation.

CSC Customer training CSC training on computing, data management, and information networks    


The handbook discusses the most important themes of open science and research.

The Finnish Social Science Data Archive guidelines help to understand the RDM related themes from the perspective of the research data life cycle. The guidelines consist of eight themes: the purpose of data management and reuse, data management planning, copyrights, informing research participants, processing quantitative and qualitative data, anonymization and storage. Although researchers from all branches of research benefit from the comprehensive guidelines, the researchers who use survey and textual data might benefit most.

A group of  authors came together in February 2018  to create an open, living handbook on Open Science training. High-quality trainings are fundamental when aiming at a cultural change towards the implementation of Open Science principles. The topics of training range from open concepts and principles to examples and practical guidance.

The guide by CSC IT Centre for Science provides help with the various stages of research data management.


Suggest new materials to this list

The training materials described above are materials we recommend. Do not hesitate to suggest a new source to the list. We appreciate your help! Please contact [email protected] or

Links to research data management instructions

Follow these links to navigate through research data management instructions.

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Research Data Management (RDM) and Open Science

Properly managed research data creates competitive edge and is an important part of a high-quality research process. Here you will find links to support, services and instructions for research data management.

This service is provided by:

Research and Innovation Services

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