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.

Traditionally, journal subject classification was done manually at varying levels of granularity, depending on the use case for the institution. Subject classification is done to help collate resources by subject enabling the user to discover publications based on different levels of subject specificity.

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.

Patricio Pantaleo guides us through their open browser tabs. Recommends readings on Open Journal Systems, Open Access and Creative Commons licenses.

Research software is a key part of most research today.

Although advances in artificial intelligence (AI)1 have been unfolding for over decades, the progress in the last six months has come faster than anyone expected. The public release of ChatGPT in November 2022, in particular, has opened up new possibilities and heightened awareness of AI's potential role in various aspects of our work and life.

Research data and software rely heavily on the technical and social infrastructure to disseminate, cultivate, and coordinate projects, priorities, and activities. The groups that have stepped forward to support these activities are often segmented by aspects of their identity - facets like discipline, for-profit versus academic orientation, and others.