Research Data Management

This course aims to help researchers and PhD students to better manage their research data in compliance with financing agencies guidelines, and to make data discoverable and citable. This course is intended for PhD students at NOVA University and PhD holders working at NOVA (Professors, researchers,…), students from partner universities and external students.

Registrations

9 de July, 2024

Rational

Scientific data consists of statistics, results of experiments, measurements, observations resulting from field work, research results, interviews and image recordings and these can be archived and made accessible through repositories compatible with other scientific information management systems.

Recently, major financing entities like the Portuguese Foundation for Science and Technology, the European Commission and the G8 have issued recommendations or mandates for the open access to research data recommending that the “scientific research data should be easily discoverable, accessible, assessable, intelligible, useable, and wherever possible interoperable”. Studies show that making data available increases citations and the researcher’s impact.

This course aims to help researchers and PhD students to better manage their research data in compliance with financing agencies guidelines, and to make data discoverable and citable.

Syllabus

Open Data, Open Access and Open Science
Funder’s mandates relating data – Horizon Europe and FCT
What is open data
Open data initiatives Data repositories
Research Data Management plans

Learning outcomes

By the end of this course, students should:

  1. Be aware of the open access and open science movement.
  2. Know the national, European, and international initiatives and policies surrounding open access to scientific publications and data.
  3. Understand the concept of research data, what constitutes research data, and how data differs from other types of information.
  4. Recognize the importance of managing research materials.
  5. Discover how to license research data.
  6. Be able to make a Research Data Management Plan.
  7. Know where to store your data and how to make it discoverable and citable.

References

  • Carroll SR, Garba I, Figueroa-Rodríguez OL, Holbrook J, Lovett R, Materechera S, et al. 2020. The CARE Principles for Indigenous Data Governance. Data Sci J. 19: 43: 1–12. https://doi.org/10.5334/dsj-2020-043.
  • ELIXIR. Research Data Management Kit: a deliverable from the EU-funded ELIXIR-CONVERGE project. Brussels: ELIXIR; 2021. Available from: https://rdmkit.elixir-europe.org.
  • European Commission. AGA: Annotated Model Grant Agreement. Brussels: European Commission; 2020. Available from: https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/h2020-amga_v2.0_en.pdf.
  •  European Commission. Global Indigenous Data Alliance CARE Principles for Data Governance: GO FAIR Initiative. Brussels: European Commission. Available from: https://www.go-fair.org/go-fair-initiative/.
  • European Commission. Program guide of Horizon Europe. Brussels: European Commission; 2020. https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/programme-guide_horizon_en.pdf.
  • Open Knowledge Foundation. The Open Data Handbook. Cambridge: Open Knowledge Foundation. Available from: http://opendatahandbook.org/.
  • Wilkinson M, Dumontier M, Aalbersberg I, Appleton G, Axton M, Baak A, et al. The FAIR guiding principles for scientific data management and stewardship. Sci Data. 2016; 3: e160018. https://doi.org/10.1038/sdata.2016.18.

Registrations + Fees

Nova PhD students – Free of charge, enrolment via the platform here https://www.unl.pt/inscricoes
PhD students from other institutions: Fee 350€. More information and enrolment via email nova.doctoral.school@unl.pt

Course Duration

1ECTS | 2 days| 28h| Teaching hours: 16h| Seminar – 2h | Autonomous work – 8h |Evaluation- 2h

Schedule

9AM – 6PM

Language

English or Portuguese

Teaching Regime

In Person

Faculty

Lecturer Isabel Andrade (ENSP NOVA)
Lecturer Antónia Correia
Lecturer Susana Lopes

I consider the RDM course to be important for students at the beginning of their PhD. It provides essential research tools for organising and selecting relevant articles for research.
NOVA’s PhD Candidate on the Research Data Management course