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.
This paper makes the strong, fact-based case for a large-scale transformation of the current corpus of scientific subscription journals to an open access business model. The existing journals, with their well-tested functionalities, should be retained and developed to meet the demands of 21st century research, while the underlying payment streams undergo a major restructuring.
In 2013, when Victor Henning announced that his six-year-old startup Mendeley would be acquired by one of the world's biggest media companies, he knew there would be blowback. He just couldn't have anticipated how bad it would get. "Seeing that some of our most vocal advocates thought we had sold them out felt awful," Henning said recently over a tea in Amsterdam, where Elsevier, Mendeley's parent company, is headquartered. Launched in 2007 by Henning and two friends at graduate school, Mendeley built an unlikely but very useful piece of software—think a variation on Evernote combined with Facebook—aimed at helping researchers organize their papers, annotate them, and share them with each other.
The first conclusion I want to share with you is that I do not understand why there are so many papers about open access being hidden behind paywalls.
We cordially invite you to submit your research projects on one of the following topics: 1. Research and knowledge in a digital age 2. Internet and public governance 3. Interdisciplinary research on information privacy, surveillance, and data protection 4. Algorithmic governance 5. Digital communication and value creation b etween companies and the crowd Please feel invited to submit theoretical, practical or experimental research work.For more information see: HIIG - Call for Papers
Are we addressing research data management? Diverse skillset and mindset needed for era of digital data.Interesting post in the LSE Impact Blog:
Developing and implementing a robust solution to Research Data Management needs to draw upon policies, processes and resources and must be relevant to disciplinary requirements with as few barriers as possible for researchers. Rachel Bruce reflects on the skillset required to improve long-term research management strategies. As each university grapples with this landscape, a shift towards shared services and infrastructure may be the next step needed.
The Internet offers fundamentally new premises for how knowledge is created and disseminated. Research in particular is facing massive changes in the way it produces and conveys knowledge. Scientific blogs allow communicating at a faster pace, data sharing platforms enable collaboration at an intermediate stage in the research process, and new models of participation, as for example citizen science, allow volunteers to take part in the discovery process. In this stream we welcome entries from areas such as communication science, information science, economics, and science and technology studies that cover changes and emerging practices in scholarly communication, research collaboration and access to scholarly output. We also welcome entries from related fields that cover changes in knowledge creation and dissemination.
At this year’s SXSW Interactive, we had an opportunity to talk with [Charles Fracchia], a renaissance hacker at the MIT Media Lab. Reinforcing the Media Lab’s “eclectic genius” stereotype, [Charles]’s background spans an impressive range of fields—from Synthetic Biology to Biomedical Engineering and beyond. A biologist by training, he is also a self-taught hardware hacker and, these days, is spending most of his time building “hybrid” systems at the intersection of Biology, Computer Science, and Electrical Engineering. True to the hacker spirit of open collaboration and sharing, he is also a big proponent of Open Science and is committed to making it a reality in the field of Biomedical Research.
Researchers all want to contribute to the global pot of knowledge, that’s why we do what we do. Let us return to and embrace this principle of open research, and make our data open – who knows what might be achieved, and who knows what might be lost by restricting access to it. Jon Tennant
Data sharing has the potential to facilitate wider collaboration and foster scientific progress. But while 88% of researchers in a recent study confirmed they would like to use shared data, only 13% had actually made their own data publicly available.
ResearchGate a social networking site for researchers, is perhaps making the biggest splash in linking research and our evolving social context. Utilized by over six million researchers, ResearchGate just released their new RG Format in mid-February which creates real-time social dialogue within the research document. By using two columns of information display, comments, concerns, or related citations and graphs are always in sync with the information retrieved. This makes for a more streamlined information transfer, and one that elaborates on the author's views by harnessing knowledge by the collective crowd.
Internet-enabled forms of scientific collaboration, popularly referred to as open science, have not automatically translated into innovation. We must adapt by inventing new types of institutions, says Henry Chesbrough, father of open innovation.
We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded as knowledge commons, but research policies that better incentivise data sharing are needed to improve the quality of research results and foster scientific progress.
The results for 1564 valid responses show that researchers across disciplines recognise the benefit of secondary research data for their own work and for scientific progress as a whole—still they only practice it in moderation. An explanation for this evidence could be an academic system that is not driven by monetary incentives, nor the desire for scientific progress, but by individual reputation—expressed in (high ranked journal) publications. We label this system a Reputation Economy. This special economy explains our findings that show that researchers have a nuanced idea how to provide adequate formal recognition for making data available to others—namely data citations. We conclude that data sharing will only be widely adopted among research professionals if sharing pays in form of reputation. Thus, policy measures that intend to foster research collaboration need to understand academia as a reputation economy. Successful measures must value intermediate products, such as research data, more highly than it is the case now.
Most scientific research is publicly funded, and yet we have to pay to access it. This absurd situation should not be allowed to continue.
The point is not to end copyright. This is about ending dumb copyright- SARA RODRÍGUEZ MARÍN
“Sharing is caring“! This is probably a good way to describe what Open Science really means: a new approach to science to share ideas, research results, research data, and publications with the rest of the world, through the newly available network technologies. The YEAR Annual Conference is a two-day event for young researchers, which offers a platform for exchange and training focused on key aspects of EU projects. For the 2015 edition, co-funded by FOSTER, YEAR chooses to focus the conference on Open Science in Horizon 2020.
Digitale Technologien bringen eine neue Dimension in den Wissensschaffungsprozess. Wissenschaftlerinnen können über Grenzen und Zeitzonen hinweg zusammenarbeiten. Wissenschaftliche Erkenntnisse können online zugänglich gemacht werden. Die Grenzen zwischen Wissenschaft, Wirtschaft, und Gesellschaft sind nicht mehr starr. Aber was passiert wenn Wissenschaft transparent wird? Was sind die Potenziale und wo sind die Grenzen?
This is a resource designed to equip people with the terminology that is used within discussions about the general field of open scholarship. Additionally, it possesses numerous external resources that may be of use. Jon Tennant
The Institute of Medicine (IOM), a venerable American institution that seeks to provide authoritative recommendations to decision makers and the public, released a report last month on Sharing Clinical Trial Data.1 The report is a welcome codification of guiding principles and frameworks. It reinforces many arguments for data sharing and urges that stakeholders “should foster a culture in which data sharing is the expected norm.” The IOM joins many other organizations, including drug companies, the European Medicines Agency, the National Institutes of Health, and the Bill and Melinda Gates Foundation, in making clear that study reporting and data sharing in medical research are imperative and the questions ahead are how, not whether.
Introduction to Open Science: Why data versioning and data care practices are key for science and social science. Carly Strasser has put together a useful guide to embracing open science, pitched largely at graduate students. But the tips shared will be of interest far beyond the completion of a PhD. If time is spent up front thinking about file organization, sample naming schemes, backup plans, and quality control measures, many hours of heartache can be averted.