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Discovery
- Evidence synthesis methods adapted to discovery and evaluation of research datasets. Guest Speaker: Lindsay Barbieri.
This presentation explores an ESIP-related project focused on understanding how evidence synthesis methods can be adapted to discover and evaluate research datasets. We applyed systematic review methods to dataset discovery for climate-smart agriculture. We welcome discussion, feedback, and most importantly: we are seeking collaboration! - Following on last month’s presentation by Mingfang Wu, about the paper: Bridging the Data Discovery Gap: User-Centric Recommendations for Research Data Repositories; we will look more closely at the paper’s Recommendation 2.2. Appear in literature and research communities; 1) Provide downloadable data citations, 2) Link metadata to publications and related research objects, and 3) Engage with research communities. This topic could be a recurring topic for the Discovery Cluster; therefore, the call is soliciting input from ESIP members and seeking intersections with other ESIP clusters and committees efforts.
Discovery 2026 Registration
ESIP meetings are open to all who wish to participate and contribute. To ensure a secure and collaborative environment for all attendees, registration is required for each meeting series. Once registered, you will have immediate access to the join links for all upcoming sessions.
Click to register for the series
Note on Annual Registration: Your registration is valid for all meetings within the current calendar year. To maintain a secure environment and ensure our community lists are up-to-date, we perform an annual reset each January. You will be invited to re-register for your preferred Collaboration Areas at the start of the new year.
This Cluster invites speakers who bring a unique perspective or approach that is not already well represented at ESIP, on topics from the usability of data portals to unpacking and complying with federal mandates.
To learn more about this Cluster and its activities, visit the Discovery Cluster Landing Page.
