PIDs in scholarly communications and research infrastructure have garnered government attention lately. By aligning with frameworks such as FAIR and POSI and incorporating insights from global initiatives, we present some desirable characteristics of PID infrastructures to guide them.
As we witness the ever-evolving landscape of technology, we realize that artificial intelligence (AI) is not just a buzzword anymore; it's a reality that is already leading to transformation in how scholarly research is published and disseminated.
The New York Times ushered in the New Year with a lawsuit against OpenAI and Microsoft. The paper covered the suit, fittingly, as a major business story.
Adopters of the POSI principles have met several times over the last few years to discuss the challenges and the improvements they’ve made in the transparency and longevity of their operations and governance. Hear from those involved in introducing the latest version - v1.1.
By embracing DataCite and Crossref DOIs, the global scholarly community is empowered, reducing financial barriers and fostering broad creation, dissemination, and recognition of research outputs and resources.
Coming from the Global South, I have frequently experienced the cucaracha (cockroach) syndrome, where I feel like what I do is not interesting. This is the phrase that I give to the feeling of my research and perspective being routinely undervalued and underappreciated due to my local context and language abilities.
Explore limitations, concerns, and proposed solutions in this thought-provoking piece based on a global survey. Join the discussion with Enago Academy on sustainable and equitable access to knowledge.
Recognizing the need for dialogue on best practices around ethical challenges in data publication, the FORCE11 Research Data Publication Ethics Working Group started in early 2021 as a multi-stakeholder community effort involving representatives of data repositories, journals, researchers, institutional research integrity officers and libraries.
The exponential surge in research data, coupled with the advent of cutting-edge computational tools, is ushering in an era of unprecedented opportunities for research performing organisations. However, with many still in the process of adopting basic research data management practices and support mechanisms, the current state of play is concerning.
I help Canadian neuroscience research institutes create and adopt an institute-level approach to open science. Inevitably, I end up talking to researchers, administrators, academic commercialization offices, and businesses about open science, intellectual property (IP), and technology transfer.