Module 6
Minimising harmful impacts from data sharing
Module 6
Have the risks of collecting, using and sharing (or not sharing) data been addressed?
Worries around data security and privacy, mistrust in data or other peoples use of data, can limit the extent to which people and organizations are willing to share data. The best way to minimize the harmful impacts of sharing data is to consider carefully in advance what those impacts are likely to be, and, how to avoid or reduce them.
eLearning Module
Enable participants to confidently identify and mitigate potential and perceived risks.
Tools and Resources
This module has a cheat sheet, a guide (with a risk-management tool), and a case study.
What does good look like?
- Does it consider positive and negative impacts, and
- Recognize risks and mitigating actions?
Module 6
eLearning Module
Login or sign-up for a free CABI Academy account to get started. In this module you will learn how to:
- List different types of risk associated with data sharing
- Describe the impacts associated with a number of risks
- Analyze the likelihood and severity of them
- Describe the different categories of risk
- Apply strategies to help minimize risk
- Use tools to help identify and manage risk on a continual basis.
Module 6
Tools and Resources
Cheat Sheet
Minimising harmful impacts from data
All the key points from the eLearning module in one tidy document.
869 KB
Case Study
Open Innovation Platform for Agricultural Data Ecosystems
How access to data can advance innovation while maintaining a competitive advantage.
878 KB
Guide
Sharing agricultural data: managing risk
Understanding risks and being able to evaluate both the real and perceived impact of data sharing is critical to overcoming constraints — by increasing confidence while minimising harmful impacts.
975 KB
Module 6
What does good look like?
Question
Have the risks of collecting, using and sharing (or not sharing) data been addressed?
Data Purposeful
The investment considers a variety of positive and negative impacts (e.g. ethics, privacy, commercial, security) resulting from the collection, use and sharing of data in their grant. Likewise the impacts of not collecting, using and sharing data have also been considered.
Potential risks and mitigating actions are set out to ensure they share data as widely as possible, while limiting harmful impacts.
Data Aware
The investment articulates the broad risks and some of the potential impacts resulting from the collection, use and sharing of data. Some potential mitigation is suggested, but ideas are broad and not clearly tied to action.
Data Unintentional
The investment does not consider any risks of sharing or not sharing data.
To find the definitions of these headings and see what good practice looks like across all seven modules: Download PDF
Module 7
Ensuring sustainable access to data
Is the data sustainable and usable by others beyond the life of the project?
Sustainable access to data is critical to ensure that data remains FAIR and safeguarded in the long term, allowing a wider group of people to use the data over time and maximizing its utility. It also enables the development of new products, services and research.
