For Karen Uhlenbeck, winner of the Abel Prize for math, a whimsical phenomenon offers a window onto higher dimensions.

UKSG Breakout session: Increasing Engagement with Digital Collections.

A pilot program gives authors another way to publish OA while enjoying the benefits of an established journal.

Over the last years, many organizations have been working on infrastructure to facilitate sharing and reuse of research data - but what is needed to make data count?

Work-life balance is not a detriment to excellent research, or an optional bonus, but an integral part of it.

This is Module 1 of the Open Science MOOC. This course is totally SELF-PACED, meaning it can be completed whenever you want and in your own time. Rationale: To innovate in a field frequently implies moving against prevailing trends and cultural inertia. Open Science is no different. No matter how convinced you are, you will come across resistance from peers and colleagues, and the best defence is strong personal conviction that what you are doing may not be perfect now, but is the right decision in the long run. This module will introduce the guiding principles of the 'open movement', the different actors involved, and the impact that they are having. Learning outcomes You will be able to describe the ethical, legal, social, economic, and research impact arguments for and against Open Science. After deciding which platforms/tools/services are most useful for themselves and their community, you will develop a personal profile for showcasing your research profile and outputs. After reflecting on the status of Open Science within your research group or lab, you will devise concrete ways to locally improve open practices. Using the guidelines published by their research laboratories, departments, or institutes, you will identify the policies for career progression and assessment, publishing and open access, data sharing, and intellectual property. Resources: Open Principles There are two tasks that are optional as part of this module: Defining how Open Science affects you. Developing your digital researcher profile. These tasks are OPTIONAL. You do NOT need to complete them in order to finish this module. They are, however, strongly recommended still. To complete this module, the only thing you need to do is complete the quiz! Once you have done that, you get this cool certificate to proudly display (the real one is bigger and nicer). Citation: We strongly encourage maximal sharing, re-use, and remixing of all content available for this module. It is also openly-licensed (CC0 or CC-BY at source) and copyright free as such. To cite this work, please use: Jon Tennant; Bruce Caron; Jo Havemann; Samuel Guay; Julien Colomb; Eva Lantsoght; Erzsébet Tóth-Czifra; Katharina Kriegel; Justin Sègbédji Ahinon; Cooper Smout & Gareth O'Neill. (2019, March 16). OpenScienceMOOC/Module-1-Open-Principles 2.0.0 (Version 2.0.0). Zenodo. http://doi.org/10.5281/zenodo.2595951 Other live modules: Module 5: Open Research Software and Open Source

The neuroscientist talks about her website to expose sexual 'harassholes' in science

Introducing Five Essential Factors, our latest white paper. Over the past two years, we've heard from more than 11,000 researchers about their views on data sharing, what they do in practice and the challenges they face. Building on that understanding, today we have released a whitepaper which proposes five key factors to make data management and sharing "business as usual" for all researchers.

Despite a rather awkward name, ten reasons why data dumps are a good thing.

Visible progress has been made  in publishing -  researchers are no longer bound by the limits of geography or the contents of their local library  -  but is the potential being truly maximised?