Sentences with phrase «bibliometric data»
TAR and AR4 are most likely similar in basic bibliometric data.
http://www.realclimate.org/
The bibliometric data is extracted from Web of Science (Thomson Reuters).
The United Kingdom's controversial plan to substitute citation analysis and other bibliometric data for peer review in its next Research Assessment Exercise (RAE) apparently hasn't survived its own peer - review proccess.
The Steering Group agreed the terms of reference for the review and, in consultation with the UK Human Geography community, appointed an International Panel of leading international experts, chaired by Professor David Ley, University of British Columbia, Canada The International Panel visited the UK for one week in May 2012 and met with about 150 stakeholders in UK Human Geography Prior to its UK visit, the Panel was provided with a range of background data including: Overviews of research trends and outputs since 2000 completed by representatives of the nine Human Geography sub-disciplines Two - page assessments by Heads of UK Geography Departments of strengths, weaknesses, overall health, and future opportunities and challenges to Human Geography in the UK (15 submissions were received) A statistical profile of UK Human Geography: Briefing Document: Statistical Overview and Commentary by Paul Wakeling (2012) Bibliometric Data for the ESRC International Benchmarking Review of Human Geography by Thomson Reuters (2012) A Short Introduction to UK Research Funding Policy by David Mills (2012) Survey of Users of Human Geography Research by Steve Johnson, David Gibbs and Ian Mills (2012).
Not exact matches
As associate professor and first - author Johan Bollen writes in an e-mail to Science Careers, they wanted their new system to «enable scientists to set their own priorities, fund scientists... not projects, avoid proposal writing and reviewing, avoid administrative burdens, encourage all scientists to participate collectively in the definition of scientific priorities, encourage innovation, reward scientists that make significant contributions to data, software, methods, and systems, avoid funding death spirals (no funding - > no research - > no funding) but still reward high levels of productivity, create the proper incentives for scholarly communication (publishing to communicate, not to improve bibliometrics), enable funding of daring and risky research, and so on.»
The study is based on a complementary methods approach consisting of a quantitative analysis of bibliometric and publication data, a global survey of 1,200 researchers and three case studies including in - depth interviews with key individuals involved in data collection, analysis and deposition in the fields of soil science, human genetics and digital humanities.