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 on 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.
Data Agents are researchers who work to improve data management in their department, school, or unit.
Several training courses and materials are available to develop research data management.
Academy of Finland Data Management Plan (DMP) process
This page contains information on the Data Management Plan (DMP) process of Academy of Finland for the beneficiaries of the Academy of Finland.
Aalto Scientific Computing and Data Agents
Aalto Scientific Computing offers expertise on scientific and data-intensive computing at Aalto and beyond. It is targeted towards Aalto researchers, but has some useful information for everyone. The data management section is useful even to non-computational researchers. Their weekly SciComp garage provides hands on support for anything related to scientific computing.
Every Wednesday at 1–2 PM, one or several Data Agents will be present at SciComp Garage to answer your questions.
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.
Research data management is important to prevent losing valuable data.
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.
Metadata describes the research data. Information about the creator, license, relevant dates, and summary statistics can all be metadata.
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.