Introduction to copyright: Copyright and secondary data use
Date:
05/11/2024
Organised by:
University of Manchester
Presenter:
Dr Hina Zahid
Level:
Entry (no or almost no prior knowledge)
Contact:
Emma Green
emma.green-3@manchester.ac.uk
Venue: Online
Description:
This second session on copyright focuses on copyright considerations in the context of secondary data use. The first session, Introduction to copyright: Copyright and publishing, provides an overview on copyright considerations in both publishing and teaching.
This free 90-minute online workshop will cover the following issues:
secondary data and its common sources
copyright ownership and duration
copyright exceptions and limitations
copyright in an international context
copyright and licences
other relevant rights in secondary data use
By the end of the session, attendees will have a better understanding of copyright considerations when creating, using or sharing data. For example, what protection is offered under copyright and other relevant rights, identifying copyright exemptions, copyright ownership, country-level diversity, etc.
There will be time at the end for questions and discussion.
Level: Introductory
Experience/knowledge required: None
Target audience: Researchers/anyone interested in creating, sharing and using data
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.
This event is part of our UK Data Service introductory training series: Autumn 2024.
Cost:
Free
Website and registration:
Region:
Europe
Keywords:
Frameworks for Research and Research Designs, 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:
Frameworks for Research and Research Designs
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