Research Data Management (RDM) and Open Science
Support and training for research data management
Aalto University offers support in data management through the dedicated [email protected] email service which provides researchers with personalised assistance. We also have a network of Data Agents, who are researchers specialising in research data, that are based at departments to help with the discipline-specific challenges of research data. Aalto University also provides a broad range of training sessions, which are also free and open to participants from outside of the university.
Funders' open science requirements
Research funders want to promote open science and research, which is why they set requirements for the openness of research publications and data they are funding. European Commission (EC) and Research Council of Finland (former Academy of Finland) are participating in the open access initiative Plan S, which affects the open access and open data requirements in calls starting in 2021.
Learn about research data management
Take a look at these detailed guides to learn how to manage your research data from planning your research to publishing the results.
Properly managed research data creates competitive edge and is an important part of a high-quality research process.
A Data Management Plan (DMP) is a formal document that specifies how research data are handled during and after a research project.
Store your data in a service that enables backups, confidentiality or collaboration as needed.
Data documentation, organization, and publishing and describing datasets in data repositories helps to ensure the usability and comprehensibility of your research data.
Overview and instructions to services for sharing and publishing research data
Recognize whether you are processing personal data and follow these instructions to handle it correctly.
When following the guidelines presented in this page, it is possible to both commercialize and publish your research results.
These are answers to the most common questions on research data management.
FAIR is an acronym used to describe best practices in open data. It promotes data that is Findable, Accessible, Interoperable and Reusable.