Science funding and science policy: Big data as a tool for supporting the research funding process
Author(s) -
Christian Herzog
Publication year - 2014
Publication title -
information services and use
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 19
eISSN - 1875-8789
pISSN - 0167-5265
DOI - 10.3233/isu-140760
Subject(s) - process (computing) , science policy , big data , policy sciences , political science , data science , research data , computer science , business , public administration , data mining , data curation , operating system
UberResearch pursues a comprehensive approach to big and small data to aid science funders in operations and analysis. We seek to consolidate global award data and funders’ internal data, with a focus on data harmonization, natural language processing and disambiguation. In this article, firstly, I give a definition and some examples of big data. Next, I look at the relevance of big data in science funding. Third, I look at important challenges in the science funding process. Finally, I turn to big data solutions and the UberResearch approach in implementing them.
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