Research Data Management - Introductory Course

Cluster

Research & Valorization

Target Group

Doctoral candidates

Abstract

This introductory course will help doctoral students to develop their knowledge in handling and managing the research data they collect. The lecturer will guide the attendees through the key aspects of how to manage, document, store and safeguard research data well and how to plan and implement good data management in research projects. Through short exercises, attendees will familiarize with key tasks in data management, such as writing a DMP, data storage and organization and FAIR assessment of datasets.

Objectives

Upon completion of this course, attendees should have an understanding of what Research Data Management is, what it comprises, and why it is important in academic research. They should be able to successfully manage all types of research data and to document both the research itself, as well as the data in a comprehensive way.

Students should be able to comply to the UGent and funders’ policies with regard to RDM- and DMP (Data Management Plan) requirements. They should also be aware which UGent infrastructure for RDM related tasks exist and be familiar with measures to handle data in a secure way (both in terms of physical storage as in methods to safeguard sensitive/personal data). They should have an understanding of the FAIR data principles, and how they can make data more FAIR.

Learning Goals

This course will train doctoral students in applying Research Data Management practices in their research project. 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. Attendees will be equipped with expertise and skills to apply the RDM practices to their own projects.

Learning Outcomes

·        Knows where to get support with regard to Open Science, RDM and the FAIR principles.

·        Can identify relevant Open Science practices and implement them in the research project.

·        Understands the RDM, OS and scholarly publishing policies (research funders, publishers, Ghent University policy) that are applicable to the research project.

·        Can write and update a data management plan using the appropriate template in DMPonline.be.

·        Can detect ethical or legal issues in their project and knows who to contact to solve them.

·        Can identify whether the project involves working with personal or other confidential data.

·        Knows which measures to take when working with personal or other confidential data.

·        Can use a secure storage solution.

·        Knows how to preserve research data.

·        Can select preferred and/or acceptable file formats for data types of interest.

·        Can apply best practices for file naming and organization.

·        Can apply data documentation methods.

·        Knows how to generate metadata and apply metadata standards.

·        Can put in practice the relationship between FAIR, RDM and Open.

·        Knows which research outputs can be made open.

·        Can identify legitimate factors restricting sharing of their own research outputs.

·        Can recognise PIDs and apply PIDs to their own research outputs.

·        Can appraise the usefulness of metadata to describe a resource.

·        Can apply licences when reusing or sharing research outputs.

·        Can explain what a trusted data repository is and how to find it.

·        Can use a trusted repository to share research output.

Time schedule & Venue

Registration fee

Free of charge for Doctoral School members. The no show policy applies.

Registration

Follow this link for the registration and waiting list.

Teaching and learning material

Lecture combined with practical exercises. Presentation slides.

Number of participants

maximum 25

Language

English

Evaluation methods and criteria (doctoral training programme)

100 % participation

After successful participation, the Doctoral School will add this course to your curriculum of the Doctoral Training Programme in Oasis. Please note that this takes up to one to two months after completion of the course.