Last year, we recruited 29 teams of researchers and asked them to answer the same research question with the same data set.
Jonas Kaiser and Benedikt Fecher look at what hyperlinks are used within prominent science blogs to investigate how scientists link to each other and outside sources. Using visualisation and mapping software, their results show how science blogs form new networks beyond traditional disciplines and interact with the wider general blogosphere.
The EU will fund research into the development of a unified European open science cloud
Scientists and funders are right to encourage the shift from passive citizen science — number crunching — to more-active roles, including sample collection.Let's see about that.
This article addresses the role of digital libraries in knowledge infrastructures for science, presenting evidence from long-term studies of four research sites. Findings are based on interviews (n=208), ethnographic fieldwork, document analysis, and historical archival research about scientific data practices, conducted over the course of more than a decade.
This is kind of the key point in this piece: reputation matters hugely to scientists, but only with regards to the number of papers you publish (which is why people steal authorship) or (in the best case) how good the research is. However, we don’t care whether a scientist has a reputation for being honest or rigorous because it gets you nowhere in the current model of academia. And yet honesty and rigour is what science is all about.
Sascha Friesike, Benedikt Fecher, Marcel Hebing, and Stephanie Linek argue that in order to tap into the vast potential that is attributed to academic data sharing we need to forge new policies that follow the guiding principle reputation instead of obligation.
A massive citizen science project, involving more than 850,000 volunteers, has expanded its reach to include projects across the entire UK.
A group of Cambridge computer scientists have set a new gold standard for openness and reproducibility in research by sharing the more than 200GB of data and 20,000 lines of code behind their latest results – an unprecedented degree of openness in a peer-reviewed publication.