Consent issues in data sharing
Date:
08/06/2023
Organised by:
UK Data Services
Presenter:
Dr Hina Zahid
Level:
Entry (no or almost no prior knowledge)
Contact:
Emma Green
emma.green-3@manchester.ac.uk
Venue: Online
Description:
Does your research involve human participants? This means your research will require ethical approval. Do you know the different types of consent, for example consent for research participation and consent for data protection? How much do you know about the role of informed consent in data sharing and reuse, ethically and legally? Do you plan to publish your data for future reuse?
This free 90-minute online workshop will explain the difference between types of consent and how, as a researcher, you can consider data archiving, plus future reuse in the consent process, considering one-off and process consent.
This session will also focus on highlighting best practices to prepare consent documentation. We will evaluate consent forms researchers have used in practice and discuss the model consent form the UK Data Service advocates.
There will be time at the end for questions and discussion.
Presenter: Dr Hina Zahid
Level: Introductory
Experience/knowledge required: None
Target audience: Researchers/anyone interested in ethical and legal aspects of sharing research data
We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.
This event is part of our UK Data Service introductory training series: Spring 2023.
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:
https://essex-university.zoom.us/webinar/register/WN_0ULN_TzsRoeROL1ss1IjoA
Region:
International
Keywords:
Data Collection, Data Quality and Data Management
Related publications and presentations:
Data Collection
Data Quality and Data Management