Skip to main content

Research Data Management: Research Data Management Regulations

This guide will assist researchers in planning for the various stages of managing their research data and in preparing data management plans required with funding proposals.

DkIT and Research Data

DkIT is committed to National policy statement on Ensuring Research Integrity in Ireland

Click here for document


National policy statement on Ensuring Research Integrity in Ireland:

"Commitment 1: Standards
We are committed to ensuring the highest standards of integrity in all aspects of our research, founded on basic principles of good research practice to be observed by all researchers and research organisations. 

Open communication, in discussing the work with other scientists, in contributing to public knowledge through publication of the findings,
in honest communication to the general public.
This openness presupposes a proper storage and availability of data, and accessibility for interested colleagues. "

General Regulations on Research Data

NORF : National Framework on the Transition to an Open Research

"All Irish scholarly publications resulting from publicly funded research will be openly available by default from 2020 onwards and will be accessible on an ongoing basis"

Horizon 2020

 

Horizon2020

The European Union, through Horizon 2020, already mandates open access to all scientific publications. From January 2017 onwards, research data for funded projects across all Horizon2020 programmes should be made open by default, with possibilities to opt out.

"The Horizon2020 proposal requires a short, general outline of the policy for data management in section 2.2 - Measures to maximise impact. The information included should cover:

  • What types of data will the project generate/collect?
  • What standards will be used?
  • How will this data be exploited and/or shared/made accessible for verification and re-use. If data cannot be made available, explain why.
  • How will this data be curated and preserved?"

FAIR

FAIR Data Principles developed to improve the findability, accessibility, interoperability, and reuse of digital assets of scientific data.

"These principles provide guidance for scientific data management and stewardship and are relevant to all stakeholders in the current digital ecosystem. They directly address data producers and data publishers to promote maximum use of research data." (LIBRE)

Open by nature

Data should be as open as possible and as closed as necessary

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.