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Do open-data infrastructures actively reshape research agendas? Using GBIF as a case, this study finds that topic choices shifted after using the platform, framing open data platforms as research “catalysts,” not passive repositories.
The report examines the current state of open data as reflected in the 2025 survey results, as well as how attitudes and practices have evolved over the past decade.
Interoperability may sound technical, but at its heart, it’s about connection - helping data, systems, and people work together more effectively. In both heritage and research, it’s what transforms scattered collections into shared knowledge. Maryam Mazaheri illustrates common misconceptions around interoperability and describes what lessons can be derived.
Federal funders of research are increasing the stringency of their expectations that researchers make data collected in federally funded projects publicly available.
In this interview with Peter Suber, the Senior Advisor on Open Access at Harvard Library and Director of the Harvard Open Access Project at the Berkman Klein Center discusses the current alarming developments taking place in the US research landscape – and offers valuable advice to colleagues from abroad.
To create a research culture that makes the best use of available data, the FAIR principles need to be extended
Indigenous researchers and communities are reshaping how Western science thinks about data ownership.
Research data repositories play a vital role in ensuring research is reproducible, replicable and reusable. Yet, the infrastructure supporting them can be impermanent.
Open data practices are largely conceived and managed in ways that support quantitative, rather than qualitative data. Susie Weller outlines how an ethics of care is essential to making open qualitative data practical and ethical.
There are important differences in how countries treat and value data. This report compares key data policies in China, India, Singapore, the United Kingdom, and the European Union.
Data sharing has been a success for large collaborations like CERN and LIGO. But what about small research groups with bespoke experimental setups?
Christian Grubak from ChronosHub and Josh Brown from MoreBrains share their thoughts on the transition to open access and the needs for its formalised management and collaborative community actions
Science and public health can benefit tremendously from sharing and reuse of health data. The Research for Health department has helped spearhead the launch of a new policy from the Science Division which covers all research undertaken by or with support from WHO. The goal is to make sure that all research data is shared equitably, ethically and efficiently.
The FAIR Data Principles are being rapidly adopted by many research institutes and funders worldwide. This study assesses the awareness and attitudes of clinical researchers and research support staff regarding data FAIRification.
The open data revolution won't happen unless the research system values the sharing of data as much as authorship on papers.
This post looks at the progress that's been made toward open research data -- what's been achieved, what still needs work, and what happens next?
The data-sharing policy could set a global standard for biomedical research, scientists say, but they have questions about logistics and equity.
The Open Research Data (ORD) Action Plan specifies the measures of the ORD Strategy published in July 2021. It represents a further step for Swiss institutions towards facilitating access to research data and thus Open Science.
How can libraries help to prevent tracking in science, thereby protecting the data of the researchers and, in an idealistic sense, scientific freedom?
Problems with effective research data sharing persist and these problems have been quantified by previous research as a lack of time, resources, incentives, and/or skills to share data.
This paper presents the application profile for machine-actionable data management plans that allows information from traditional data management plans to be expressed in a machine-actionable way.
Study investigates the importance of tasks associated with data sharing, and researchers’ satisfaction with their ability to complete these tasks.
Data should be a means to knowledge, not an end in themselves.
