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Breaking barriers: accessible VR for mental health

Breaking Barriers: Accessible VR for Mental Health

Virtual Reality (VR) can be a powerful tool in mental health care, particularly for assisting with relaxation. By immersing users in calming natural environments, VR can effectively lower stress and anxiety. However, despite its potential, high-quality VR relaxation remains largely locked away in specialized clinics. The barriers are clear: stand-alone headsets are expensive, the software can be difficult to operate, and many apps aren't available in local languages.

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Banner for the upcoming ER&L 21st Annual Library Conference March 1 – 4, 2026 in Austin, Texas

3 Conversations I Can’t Wait to Have at ER&L

As I am preparing for my trip to Austin for the ER and L conference, I am thinking a lot about the conversations I have had with librarians over the past year, especially at Charleston in November. The consistent theme of each conversation was uncertainty—often budgetary, but also regulatory and administrative. Everywhere, libraries are under pressure to do more with less, leaving many to ask: how to manage library budget cuts while transitioning to open access? It’s clear that librarians are no longer just managing collections;  they’re navigating a total systemic shift.

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Header card for the blog post that discusses innovations for JMIR

Leading the Way: A Quarter-Century of Innovation at JMIR Publications

Since its inception in 1999, JMIR Publications has been more than just a publisher—it has been a laboratory for the future of scholarly communication. As one of the world's first open-access publishers, JMIR has consistently pushed the boundaries of how scientific knowledge is captured, shared, and preserved.

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Beyond the Big Deals: Institutional Partnerships for Equity and Impact in Open Access

Beyond the Big Deals: Partnerships for Equity & Impact in Open Access

If you were in Charleston this past November, you know what I mean when I say the air was thick with purpose, and a little bit of worry. The Charleston Conference is always a place where librarians and publishers come together to discuss the tough questions facing our industry, and this year highlighted that scholarly communication is evolving against a backdrop of economic, technological, and policy-driven uncertainty.

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Librarian's Guide: Vetting Journals and Avoiding Predatory Publishers

Librarian's Guide: Vetting Journals and Avoiding Predatory Publishers

The landscape of scholarly publishing has grown increasingly complex, and academic librarians managing collections face mounting pressure to navigate this complexity wisely. With library budgets stretched thin, multiple business models competing for resources, and the ever-present threat of predatory publishers exploiting the open access movement, the responsibility of vetting journals has never been more critical, or more challenging.

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Beyond the Table: Using Graph Methods to Modernize Clinical Trial Protocols

fhir4pharma: Digitalizing Clinical Trial Protocols with FHIR

Clinical trials rely heavily on the Schedule of Activities (SoAs), the detailed roadmap that dictates what data must be collected and precisely when. Traditionally, this roadmap is presented as a static, tabular chart within the study protocol. However, real-world research is rarely static. Patients miss visits, unexpected events occur, and complex study designs (like in oncology) require multiple treatment cycles and conditional branching.

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Solving the Privacy Paradox: Generating Anonymous Clinical Trial Data with AI

Synthetic Data: Solving the Clinical Trial Privacy Paradox

The foundation of modern, data-driven medicine rests on high-quality empirical evidence, primarily derived from Randomized Clinical Trials (RCTs). However, sharing the individual patient data (IPD) from these trials is heavily restricted by regulatory frameworks. For example, the EU’s General Data Protection Regulation (GDPR) which aims to protect patient privacy. This "privacy paradox" can hinder innovation, preventing researchers from reusing valuable data to develop predictive models or external control arms.

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