This year marks the 10th anniversary of the State of Open Data, a collaboration between Digital Science, Figshare, and Springer Nature, that has tracked researcher attitudes toward data sharing across 192 countries every year since 2016. The 2025 edition draws on a full decade of longitudinal evidence to identify where real progress has been made, where momentum has stalled, and what new forces are reshaping the open data landscape.

The fast development and release of automated tools is transforming how we conduct research. Many of these tools (technologies) appear to be very powerful: allowing us to do our work much faster, and maybe more efficiently. But they create a question: as we integrate these tools into our scholarly work, how do we ensure that we are not just doing things faster, but also doing them right?

A practical, librarian-recommended way to find open primary sources for teaching and research without hopping between dozens of institutional platforms.

Can AI assist non-coding humanities researchers in processing non-Western language materials? Yes—but this report shows how and why MLLMs fail on domain-specific OCR, what that reveals about their cognitive boundaries, and methodological implications for low-resource AI-assisted DH workflows.

Growing up, I was surrounded by remarkable women —my mother, my teachers, and later my colleagues, I have always been nurtured and inspired by these “wonder women”, whose intelligence and resilience became the guiding lights along my path. Over time, that experience led me to a broader question: can we meaningfully capture and measure the contributions made by women in academia？