Bill Hooker's Public Library

This report by the British Library and the Research Information Network (RIN) provides a unique insight into how information is used by researchers across life sciences. Undertaken by the University of Edinburgh’s Institute for the Study of Science, Technology and Innovation, and the UK Digital Curation Centre and the University of Edinburgh’s Information Services, the report concludes that ‘one-size-fits-all’ information and data sharing policies are not achieving scientifically productive and cost-efficient information use in life sciences.

The report was developed using an innovative approach to capture the day-to-day patterns of information use in seven research teams from a wide range of disciplines, from botany to clinical neuroscience. The study undertaken over 11 months and involving 56 participants found that there is a significant gap between how researchers behave and the policies and strategies of funders and service providers. This suggests that the attempts to implement such strategies have had only a limited impact. Key findings from the report include:

* Researchers use informal and trusted sources of advice from colleagues, rather than institutional service teams, to help identify information sources and resources
* The use of social networking tools for scientific research purposes is far more limited than expected
* Data and information sharing activities are mainly driven by needs and benefits perceived as most important by life scientists rather than ‘top-down’ policies and strategies
* There are marked differences in the patterns of information use and exchange between research groups active in different areas of the life sciences, reinforcing the need to avoid standardised policy approaches

www.rin.ac.uk/...ary-case-studies-life-sciences - Preview

scholarlycommunication oa

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webtools

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lostart

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lostart

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"The other day I posted up some work-in-progress on the subject of patterns of knowledge production.

That material is still in a fairly preliminary state. However, my decision to release it it in this form was a conscious decision and part of an ongoing attempt on my part to practice a more open “release early, release often” approach to research.

In doing this I’m drawing direct inspiration from the open source and open notebook (science) communities and seeking to engage in what might be termed open notebook social science!"

www.rufuspollock.org/...open-notebook-social-science - Preview

oaos.examples

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Welcome to Biology Meetings.Com - your first stop to find current, up to date links to major biology conferences, scientific meetings, biology seminars and biology meeting throughout the U.S. and the world! Some browsers do not support the graphical google map interface we are using to help find meetings.

www.tritechresearch.com/biologymeetings.html - Preview

conferences work

Not really open, but it could be with the flip of a setting.

www.bioscience.heacademy.ac.uk/...beej-14-c1.aspx - Preview

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oa.problems

• Does the manuscript apply under the NIH Public Access Policy?

• Which NIH grant awards supported the manuscript? Use the NIH Grants Lookup Tool to confirm grant award numbers.

• Which journal will the manuscript be submitted to?

• Which method of submission does the journal fall under? See the NIH chart on submission methods.

• If a Method C or D form of submission journal, which author will be assigned as the responsible author for the review and approval tasks? See the short video: Approving Submission of an Article to PubMed Central which outlines the process for authors in response to an email from NIHMS asking for approval of a submission done by a publisher or third party.

• Which author will be responsible for making sure that the work has a PMCID within three months post publication of the manuscript, and notifying all authors and PIs associated with the manuscript of the most current means of documentation of compliance with the NIH Policy (“PMC Journal – In Process,” or NIHMS ID) until the PMCID is assigned?

beckerinfo.net/...-advice-for-nih-funded-authors - Preview

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Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets.

The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud computing technologies.

In The Fourth Paradigm: Data-Intensive Scientific Discovery, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

research.microsoft.com/...fourthparadigm - Preview

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