Open Data and Materials

 

Plan E for Education: open access to educational materials created in publicly funded universities

Plan E for Education is my proposal that a proportion of the educational resources generated in publicly funded universities be made freely available for sharing and use by others. Thus, high quality education, produced through public funding, could …

The Open Science Training Handbook

A group of fourteen authors came together in February 2018 at the TIB (German National Library of Science and Technology) in Hannover to create an open, living handbook on Open Science training. High-quality trainings are fundamental when aiming at a …

Universities should put educational materials online and make them free

Plan E for Education is my proposal that a proportion of the educational resources generated in publicly funded universities be made freely available for sharing and use by others. This would be the educational equivalent of initiatives that require …

Advancing data honesty in experimental biology

The ease with which scientific data, particularly certain types of raw data in experimental biology, can be fabricated without trace begs urgent attention. This is thought to be a widespread problem across the academic world, where published results …

Nature earns ire over lack of code availability for Google DeepMind protein folding paper

A group of researchers is taking Nature to task for publishing a paper earlier this month about Google DeepMind’s protein folding prediction program without requiring the authors publish the code behind the work.

Open Resources for Biology Education (ORBE): a resource collection

In undergraduate life sciences education, open educational resources (OERs) increase accessibility and retention for students, reduce costs, and save instructors time and effort. Despite increasing awareness and utilization of these resources, OERs …

Responsible data sharing: Identifying and remedying possible re-identification of human participants

Open data collected from humans creates a tension between scholarly values of transparency and sharing on the one hand, and privacy and security on the other. A common solution is to make datasets anonymous by removing personally identifying …

ZooTraits: An R shiny app for exploring animal trait data for ecological and evolutionary research

Animal trait data are scattered across several datasets, making it challenging to compile and compare trait information across different groups. For plants, the TRY database has been an unwavering success for those ecologists interested in addressing …

A study on formalizing the knowledge of data curation activities across different fields

In recent years, with the trend of open science, there have been many efforts to share research data on the internet. To promote research data sharing, data curation is essential to make the data interpretable and reusable. In research fields such as …

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was …
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