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Research Data Management: practical course (UGent Doctoral Schools - Transferable skills course)

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This one day course introduces Research Data Management and Open Science to doctoral students. Through a series of practical exercises, it helps them to become familiarized with RDM and OS practices and infrastructure. Having these skills has become increasingly important to researchers seeking to advance their careers. The lecturer will guide the attendees through the key aspects of how to manage, document, store, safeguard and share research data and how to plan and implement good data management in research projects.

DOI: https://doi.org/10.17605/OSF.IO/GDQ93

Licence: Creative Commons Attribution 4.0 International

Contact: Data Stewards at Ghent University Team Open Science: rdm.support@ugent.be

Keywords: Data management planning, DMPonline.be, GDPR, FAIR Data, Data sharing, Data security, storage

Target audience: early stage researchers, PhD Students

Resource type: pdf, pptx, markdown

Status: Active

Prerequisites:

None

Learning objectives:

  • Define Research Data Management (RDM) and explain its relevance throughout the research lifecycle.
  • Describe the FAIR principles and contrast them with Open Science.
  • Explain the concept of Open according to the Open Definition and its benefits.
  • Identify key Open Science practices and relevant institutional and funder policies.
  • Understand rights and obligations under Ghent University’s scholarly publishing policy.
  • Create a Data Management Plan (DMP) and select appropriate templates using DMPonline.be.
  • Detect and address ethical and legal issues with expert support.
  • Explain copyright, intellectual property rights, and licensing options for research outputs.
  • Define personal data and identify special categories and directly identifying attributes.
  • Apply GDPR principles and select legal grounds for processing personal data.
  • Identify data security risks and implement protection and access control measures.
  • Compare data storage and backup options, and apply institutional solutions.
  • Apply best practices for file formats, naming conventions, and version control.
  • Recognize and use Persistent Identifiers (PIDs) for researchers, data, and institutions.
  • Describe metadata standards and their role in documentation, findability, and sharing.

Date created: 2022-10-05

Date modified: 2025-02-25

Date published: 2022-10-05

Authors: Paula Oset Garcia, Stefanie De Bodt, Laura Standaert, Ziad Choueiki, Thomas Van de Velde

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