Fair data management plan

a proposal for Fiocruz

Authors

  • Viviane Santos de Oliveira Veiga Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil. https://orcid.org/0000-0001-8318-7912
  • Patricia Henning Universidade Federal do Estado do Rio de Janeiro. Rio de Janeiro, Brasil. https://orcid.org/0000-0003-0739-6442
  • Simone Dib Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.
  • Erick Penedo Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.
  • Jefferson da Costa Lima Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.
  • Luiz Olavo Bonino da Silva Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.
  • Luís Ferreira Pires Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.

DOI:

https://doi.org/10.18617/liinc.v15i2.5030

Keywords:

Data Management Plan, Research Data, FAIR Principles, DMP Machine-Actionable, Open Science

Abstract

This article proposes to discuss the role of data management plans as a tool to facilitate data management during researches life cycle. Today, research data opening is a primary agenda at scientific agencies as it may boost investigations’ visibility and transparency as well as the ability to reproduce and reuse its data on new researches. Within this context, FAIR principles, an acronym for Findable, Accessible, Interoperable and Reusable, is paramount, as it establishes basic and guiding orientations for research data management, curatorship and preservation with an intent on its sharing and reuse. The current work intends to present to the Fundação Oswaldo Cruz a new Data Management Plan template proposal, aligned with FAIR principles. The methodology used is bibliographical research and documental analysis of several European data management plans. We conclude that the adoption of a management plan on universities and research institutions scientific activities is paramount. However, to be fully benefited from this activity, all actors involved in the process must participate, and, on top of that, this plan must be machine-actionable.

 

References

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Published

11/12/2019

Issue

Section

Research Data