Subscribe to our newsletter

Send us a link

Towards Open Science: The Case for a Decentralized Autonomous Academic Endorsement System

Towards Open Science: The Case for a Decentralized Autonomous Academic Endorsement System

A system of academic endorsement based on blockchain technology would be decoupled from the publication process, which would allow expeditious appraisal of all kinds of scientific output in a transparent manner without relying on any central authority.

A Joke Syllabus With a Serious Point: Cussing Away the Reproducibility Crisis

A Joke Syllabus With a Serious Point: Cussing Away the Reproducibility Crisis

Sanjay Srivastava’s assessment of the state of psychology mixes a certain four-letter word and gallows humor with a desire to raise awareness of important research issues in his field.

Shanghai Academic Ranking of World Universities 2016

Shanghai Academic Ranking of World Universities 2016

New 2016 Top 500 world university rankings conducted by CWCU of Shanghai Jiao Tong University (Academic Ranking of World Universities).

Nope! 8 Rejected Papers That Won the Nobel Prize

Nope! 8 Rejected Papers That Won the Nobel Prize

Nobel prize winning ideas are not always accepted by the community.  By definition, they are paradigm shifting, revolutionary.

UK guarantees EU funding beyond leaving the EU

UK guarantees EU funding beyond leaving the EU

Chancellor Philip Hammond guarantees EU funding beyond date UK leaves the EU. British businesses and universities will have certainty over future funding and should continue to bid for competitive EU funds while the UK remains a member of the EU.

Does high impact factor successfully predict future citations? An analysis using Peirce’s measure

Does high impact factor successfully predict future citations? An analysis using Peirce’s measure

It is clear that the journal impact factor is not effective in predicting future citations of successful authors.

Creation of a Central Preprint Service for the Life Sciences

Creation of a Central Preprint Service for the Life Sciences

At the ASAPbio Funders’ Workshop (May 24, 2016, NIH), representatives from 16 funding agencies requested that ASAPbio “develop a proposal describing the governance, infrastructure and standards desired for a preprint service that represents the views of the broadest number of stakeholders.” We are now holding a Technical Workshop to advise on the infrastructure and standards for a Central Service (CS) for preprints. ASAPbio will integrate the output of the meeting and community and stakeholder feedback into a proposal to funding agencies this fall. The funders may issue a formal RFA to which any interested parties could apply for funding.

NEJM doubles down on resistance to data sharing

NEJM doubles down on resistance to data sharing

An editorial argues that data sharing can cripple scientific progress and harm patients, but there are myriad flaws with that reasoning.

What it costs to publish in eLife

What it costs to publish in eLife

We present a deeper view of our 2015 financials, covering publishing and non-publishing expenses. As part of our ambition to change how science publishing works, especially among highly selective journals, we hope that being transparent about our costs will help to set a future course for research communication that is efficient and sustainable.

Digital Science White Paper

Digital Science White Paper

Through highlighting six recent advances in research infrastructure, this whitepaper seeks to recast how we think about metadata - not as a series of static records, but as objects that move between systems and organizations.

ChemRxiv: A preprint server to promote early research sharing

ChemRxiv: A preprint server to promote early research sharing

American Chemical Society announces intention to establish “ChemRxiv” preprint server to promote early research sharing

How Scientific Success in Physics Depends on Network Positions

How Scientific Success in Physics Depends on Network Positions

Utilizing 250,000 papers from ArXiv.org we construct large coauthorship networks to investigate how individual network positions influence scientific success. Surprisingly, inter(sub)disciplinary collaborations decrease the probability of getting a paper published in specialized journals for almost all positions.