Leading up to this session, Life Science Data Infrastructures IG members will have collectively surveyed the operators of between 10-20 infrastructures across different geographical regions that support digital asset management in the life sciences to ascertain which aspects of the research data lifecycle each support, and obtain a snapshot of how mature these resources are in when it comes to being enabling the underlying data assets stored or produced to be FAIR.
The survey and this session aims at getting a better understanding of different aspects of life science data infrastructures across the globe—such as the types of data and communities they support, their approaches to adopting the FAIR data principles across the research data lifecycle, and the challenges they are looking to solve.
This session will focus on:
- Presenting an overview of the various types of digital asset management challenges that life science data infrastructures are working to solve on behalf of their user communities
- Exploring how infrastructure solutions also support the FAIR principles with respect to various types of digital assets - e.g. data, tools, workflows
- Future synthesis of best practice recommendations that can help life science infrastructures better support FAIR digital assets and enhance their infrastructure’s FAIR capabilities across the life sciences landscape and around the research data lifecycle