Infrastructure supporting the FAIR data principles in life science research practice
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Discussion
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Collaborative session notes: https://docs.google.com/document/d/19ePAVlxEKWIm-SMX-JK5rxTq1uAOlvk5vhZr…
This 1.5 hour meeting will be held in the 20th RDA Plenary Breakout Session 2 on Tuesday, 21 March 2023 (15:00 – 16:30 UTC – click here to see in your time zone).
This is a hybrid session – you can either join us in the Tesla room, Lindholmen Conference Centre, Gothenburg, Sweden or online (online joining details to be added soon!)
Time
Length
Speakers
Topic00:00
10 min
Jeff Christiansen
Allyson ListerWelcome and Introductions
Recap of Life Science Data Infrastructures IG activities, and how we’ve been operating so far.
Recap of the FAIRSharing WG, activities and outputs to date.
Structure and objectives for this meeting00:10
5 min
Wolmar Nyberg Åkerström
Elisha Wood-CharlsonIcebreaker
Who’s here and what is your relation to life science infrastructure?
00:15
10 min
Susan Gregurick
Perspectives on infrastructure supporting the FAIR data principles in life science research practice around the world (I)
Prior to the meeting, members of the IG will have collectively surveyed the operators of 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 how mature these resources are in when it comes to being enabling the underlying data assets stored or produced to be FAIR.
Key findings from the survey will be presented.00:25
25 min
USA: Valentina Di Francesco, National Human Genome Research Insitute (NHGRI) Chief Data science Strategist and Director of the Office of Genomic Data Science (in person)
USA: Dawei Lin, Associate Director for Bioinformatics & Senior Advisor to the Director at DAIT, NIAID, NIH to speak about ImmPort (in person)
USA: Lindsey Anderson, Computational Scientist (US Department of Energy Pacific Northwest National Laboratory) (virtual/online)
Europe: Joel Hedlund, Head of AIDA Data Hub —offering Data Sharing, Policy Support, and Services for researchers in Swedish medical imaging AI (virtual/online)
Africa: Sumir Panji, Network (Bioinformatics) Manager at H3ABioNet (pre-recorded)
Australia: Gareth Price, Science Lead of Galaxy Australia (pre-recorded)
The FAIRCookbook – a resource for the Life Sciences with recipes to help make and keep data FAIR: Susanna Assunta-Sansone (in person)
Perspectives on infrastructure supporting the FAIR data principles in life science research practice around the world (II)
6 flash talks (~3 mins each) from a selection of case studies, focussing on the FAIR-related features of the infrastructure, and features that could be improved to increase FAIRness of the resource and the data assets associated with it.
1 flash talk (~3 mins) about The FAIRCookbook – a resource for the Life Sciences with recipes to help make and keep data FAIR00:50
35 min
All
Discussion on key aspects of FAIR for infrastructure solutions
The discussion will be facilited in-room by Jeff Christiansen, Wolmar Nyberg Åkerström and Susan Gregurick and on-line by Elisha Wood-Charlson
01:25
5 min
Jeff Christiansen
Wolmar Nyberg Åkerström
Susan GregurickWrap-up and next steps
Outline actions and collaborators moving forward
Invitation for further participation in the group.01:30
END
1. First group option
FAIRsharing Registry: Connecting data policies, standards and databases RDA WGApplicable Pathways
FAIR, CARE, TRUST – Adoption, Implementation, and Deployment, Data Infrastructures and Environments – Regional or Disciplinary, Discipline Focused Data IssuesAvoid conflict with the following group (1)
Vocabulary Services IGBrief introduction describing the activities and scope of the group
The Life Science Data Infrastructures Interest Group was formed to serve as a bridge between life science data infrastructures in different regions of the world and relevant RDA Interest and Working Groups, including both specific subtopics of the life sciences, as well as generic topics that can/should be applied in the life sciences such as big data analysis, federated identity management, and data publishing. The IG aspires to have meaningful representation from diverse geographical regions including North and South America, Europe; Africa, Asia and Oceania; and will actively seek participation from under-represented groups and the global South. The IG also aims for fair gender representation and inclusivity in all its activities. See also https://www.rd-alliance.org/groups/life-science-data-infrastructures-ig
The FAIRsharing Registry: Connecting data policies, standards and databases RDA Working Group has delivered principles for linking information about databases, content standards and journal and funder policies in the life sciences. These principles are implemented in a curated registry (https://fairsharing.org/) enabling access and cross-search of the information, on which a variety of stakeholders can base their decisions. See also https://www.rd-alliance.org/group/fairsharing-registry-connecting-data-p…
Estimate of the required room capacity
25Group chair serving as contact person
Jeff ChristiansenI declare that I have informed the chairs of all the Working / Interest groups included in this joint meeting application.
AcknowledgedMeeting objectives
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 lifecyclePrivacy Policy
1Target Audience
Members of any RDA IGs and WGs who are focussed on FAIR principles, Data Lifecycles and Infrastructure Interoperability as well as anyone involved in life science data infrastructure world wide.
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