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Ready for BioData Management? Intensive
Provider
BioData.pt
Level
Beginner
License
CC-BY-4.0
Creator
Daniel Faria
Jorge Oliveira
Gil Poiares-Oliveira
Language
British English
About
Data management
Bioinformatics
FAIR data

The Ready for BioData Management: Intensive Course is a two-day hands-on training course on Research Data Management (RDM) that guides participants across the data lifecycle, highlighting the key challenges and questions to address at each stage, and showcasing tools and resources that researchers can use to aid them.

The course features theoretical sessions that promote group discussions, intertwined with practical sessions consisting of exercises in small groups, that allow participants to both get acquainted with the tools and get involved in key RDM challenges.

The structure and theoretical content of the course is largely derived from the RDMkit, which we strongly recommend as a supporting resource for both researchers and data stewards.

Structure

SessionTypeSummary
Introduction to RDMTheoreticalInteractive presentation motivating and introducing RDM
Data Collection OverviewTheoreticalDiscussion of the key issues at the stage of data collection
Data Collection Hands-OnPracticalGroup exercise on the electronic lab notebook eLabFTW
Data Processing & Analysis OverviewTheoreticalDiscussion of the key issues at the stages of data processing and analysis
Data Processing & Analysis Hands-OnPracticalGroup exercise on the workflow platform Galaxy
Data Preservation OverviewTheoreticalDiscussion of the key issues at the stage of data preservation
Data Storage Hands-OnPracticalQuick group exercise on the storage-cost estimation tool of the DSW
Data Sharing & Reuse OverviewTheoreticalDiscussion of the key issues at the stages of data sharing and reuse
Data Sharing & Reuse Hands-OnPracticalGroup exercise on the DMPortal, an instance of Dataverse
Data Management Planning OverviewTheoreticalDiscussion of the key issues at the stage of planning
Data Management Planning Hands-OnPracticalGroup exercise on the Data Stewardship Wizard (DSW)

Course structure can vary between different deliveries and target audiences.

Prerequisites

Participants are expected to bring their own laptop to carry out the practical portion of the course. No prior experience in RDM is required, but participants should have first-hand experience handling biomedical research data.

Learning outcomes

Understand the need for good data management practices
Identify the stages of the data lifecycle and the challenges that arise at each stage
Overcome key challenges in research data management

Learning Materials

Ready for BioData Management? Intensive slide deck

Upcomming Deliveries of this Course