Skip to main content

Research Data: Home

Library Information

Bibliothèque - Polytechnique Montréal's picture
Bibliothèque - Polytechnique Montréal
Contact:
2500, chemin de Polytechnique
Montréal (Québec) H3T 1J4
Pavillon Lassonde, 7e étage
514 340-4666
Website / Blog Page

Introduction

This guide presents best practices in research data management (RDM), with the purpose of promoting archiving research data in a repository and make it available to all. A growing number of stakeholders in the research community (see the Publishers and Granting Agencies tab) encourage and sometimes require research data management and sharing. 

"RDM refers to the processes applied throughout the lifecycle of a research project to guide the collection, documentation, storage, sharing, and preservation of research data." (Portage Network)

Here are the steps of RDM presented in this guide, with the aim that research data is eventually shared:

1. Choose at least one repository to upload the data; 

2. a) Obtain an ORCID iD

    b) Create a data management plan (DMP)

3. a) Collect and organize the data

    b) Back up the data

4. a) Describe the data with Readme files

    b) Create a data dictionary

5. a) Assess and choose the data to share

    b) Prepare and anonymize the data

    c) Choose a licence to share the data

6. a) Publish the data in a journal

    and/or

    b) Upload the data in the chosen repository(ies)

Best Practices for Research data Management

Why share your research data?

  • ​To promote one's research and increase its impact and visibility;
  • To comply with journal publishers' and granting agencies' policies;
  • To support data reuse in the scientific community for research and innovation;
  • To allow reproducibility and verification of one's findings and conclusions.