Loading...
Location
Cook 209A/Room A
Presentation Type
Full Concurrent Session
Start Date
24-4-2026 12:30 PM
Description
In an era of increasing federal mandates and the rapid rise of machine learning, the role of the institutional repository is being redefined. It is no longer enough to simply host PDFs; modern repositories must serve as flexible, integrated, and FAIR-compliant ecosystems that elevate an institution’s entire research output.
This session provides an inside look at how Figshare is adapting to meet these ever-changing requirements. We will discuss the following:
- The Power of Metadata Flexibility: An overview of Figshare’s metadata restructure, which allows institutions to seamlessly manage data, articles, and nontraditional outputs in a single location. This flexibility ensures that the IR can adapt to any discipline's needs without compromising schema standards.
- Future-Proofing for AI: As the State of Open Data 2025 showed, AI tools are a critical part of research. AI bot harvesting can negatively affect repository performance, but AI-driven discovery also depends on the high-quality data stored in repositories. We will discuss how AI harvesting affects Figshare and how Figshare’s built-in features facilitate FAIR principles, so your institution’s research is not just "online," but is machine-readable and ready to power the next generation of AI insights.
- The Global-Institutional Symbiosis: Figshare’s unique model supports a global community of independent researchers while providing robust, "turnkey" solutions for institutions. We will explore how institutional partners gain enhanced visibility and analytics, showcasing how the repository can move from a compliance requirement to a strategic asset for the university.
Join us to learn how Figshare is building a sustainable, scalable future for institutional repositories, ensuring your researchers' work remains discoverable, citable, and impactful.
Figshare and the Future of Repositories: How Figshare is Adapting to the Ever-Changing Present to Enhance Institutional Impact
Cook 209A/Room A
In an era of increasing federal mandates and the rapid rise of machine learning, the role of the institutional repository is being redefined. It is no longer enough to simply host PDFs; modern repositories must serve as flexible, integrated, and FAIR-compliant ecosystems that elevate an institution’s entire research output.
This session provides an inside look at how Figshare is adapting to meet these ever-changing requirements. We will discuss the following:
- The Power of Metadata Flexibility: An overview of Figshare’s metadata restructure, which allows institutions to seamlessly manage data, articles, and nontraditional outputs in a single location. This flexibility ensures that the IR can adapt to any discipline's needs without compromising schema standards.
- Future-Proofing for AI: As the State of Open Data 2025 showed, AI tools are a critical part of research. AI bot harvesting can negatively affect repository performance, but AI-driven discovery also depends on the high-quality data stored in repositories. We will discuss how AI harvesting affects Figshare and how Figshare’s built-in features facilitate FAIR principles, so your institution’s research is not just "online," but is machine-readable and ready to power the next generation of AI insights.
- The Global-Institutional Symbiosis: Figshare’s unique model supports a global community of independent researchers while providing robust, "turnkey" solutions for institutions. We will explore how institutional partners gain enhanced visibility and analytics, showcasing how the repository can move from a compliance requirement to a strategic asset for the university.
Join us to learn how Figshare is building a sustainable, scalable future for institutional repositories, ensuring your researchers' work remains discoverable, citable, and impactful.