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 Alexander von Humboldt Institute for Internet and Society invites entries for its ESRC 2015 in Berlin. Particularly interesting for the Open Science community is the track "Research And Knowledge in a Digital Age".
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.
Citizen science describes research activities (e.g., data collection) that are conducted by people who are not professional scientists. Thanks to the internet, citizen science has gained a new dimension: digital technologies offer possibilities to reach out to volunteer researchers, to pool together efforts and to make the results visible. Moreover, the collective power of the crowd provides scientists with data that they could not have collected on their own. Integrating citizens into research projects is apparently a valuable strategy for scientists. Motivating volunteers to invest time in citizen science projects appears challenging.
Short summary of the paper " A Reputation Economy: Results from an Empirical Survey on Academic Data Sharing" in the LSE Blog. (two of our editors are co-authors)
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.
Please feel free to forward the call for a summer fellowship at the Humboldt Institute for Internet and Society. We are particularly looking for people that aim to do research in the field of Open Science.
Which License shoud you use for your work? - a short and comprehensible explanation by Florian D. Schneider
Benedikt Fecher, Sascha Friesike and Marcel Hebing in an PLOS article on what drives data sharing in academia.
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.
A paper by Nadine Levin discussing the difficulties of opening science, including a case study illustrating the practical challenges for scientists.
Offene Wissenschaft: Potenziale und Grenzen
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?
unfortunately closed access
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.
NASA has made their the Physical Science Informatics (PSI) data repository for physical science experiments performed on the International Space Station (ISS) public.
Opening Science also means communication. Social media has become the easiest way to communicate with a broad audience. This paper discusses:
Why (or why aren’t) scientists engaging in social media?; Are scientists using social media well?; and Will social media benefit a scientist’s career?
Craig McClain, Liz Neeley