Introduction to effective and practical research data management
Date:
08/04/2025
Organised by:
University of Manchester
Presenter:
Cristina Magder, UK Data Service
Level:
Entry (no or almost no prior knowledge)
Contact:
Emma Green
emma.green-3@manchester.ac.uk
Venue: Online
Description:
This introductory workshop offers a practical guide to managing research data effectively across its lifecycle.
Designed to help participants understand the basics of managing research data effectively and responsibly the workshop covers the key data principles FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics).
During this free 90-minute online workshop, we will explore a brief introduction to creating effective data management plans for organising and managing your research data, a snapshot of key issues related to data privacy, security, and compliance. This session will also introduce the basic strategies for ensuring data integrity and preservation and incorporates a high-level introduction to practical tools, including semi-automated solutions for data management.
This session includes live exercises using Mentimeter and will conclude with a dedicated Q&A session.
Level: Introductory
Experience/knowledge required: Basic understanding of research methods is recommended but not required
Target audience: Academic and non-academic data professionals such as researchers, academic and professional services staff, data managers, data stewards and others keen on advancing their research practices through effective data management.
This event will be livestreamed on our UK Data Service YouTube channel but the chat will be disabled. By registering and attending the Zoom event you will be able to ask questions and interact.
Recordings of UK Data Service events are made available on our YouTube channel and, together with the slides, on our past events pages soon after the event has taken place.
Cost:
Free
Website and registration:
Region:
Europe
Keywords:
Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis