Title :
Meta Data: Big Data Research Evolving across Disciplines, Players, and Topics
Author :
Porter, Alan L. ; Ying Huang ; Schuehle, Jannik ; Youtie, Jan
Author_Institution :
Sch. of Public Policy, Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We present a meta-analysis of BigData research activity since 2009. Our purpose here is to present "tech mining" (bibliometric and text analyses of research publication abstract record sets) to provide a research landscape of who is doing what, where, and when. Our larger purpose is to help Forecast Innovation Pathways for big data & analytics over the coming decade. We download 7006 research publication abstracts from Web of Science resulting from a search algorithm devised to recall a high percentage of core BigData research and a moderate percentage of peripherally related research (fair recall). We find interesting engagement of different disciplines in Big Data over time. On a national level, the USA and China dominate these fundamental research publications to a striking degree. Mapping topics presents interesting evidence on what topics are emerging in this dynamic field.
Keywords :
Big Data; data analysis; data mining; meta data; text analysis; Big Data research activity; China; Forecast Innovation Pathways; USA; Web of Science; bibliometric analysïs; data analytics; meta data; meta-analysis; research publication abstracts; search algorithm; tech mining; text analysis; topic mapping; Bibliometrics; Big data; Computer science; Data mining; Electronic mail; Indexes; Technological innovation; Bibliometrics; Big Data; Multidisciplinarity; Tech Mining;
Conference_Titel :
Big Data (BigData Congress), 2015 IEEE International Congress on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7277-0
DOI :
10.1109/BigDataCongress.2015.44