Scientometric studies cover a wide array of datasets, methodologies, and results. Analysis can lead to several types of insights, as a result of asking and answering the questions "what?", "where?", "when?", and "with whom?" (topical, geospatial, temporal, and network analysis, respectively). Many studies also cover statistical surveys of scientometric datasets. For detailed descriptions of these types of scientometric analyses, see sections 4.5 Statistical Analysis through 4.9 Network Analysis.
Analysis can be performed on three major scales: micro/individual, meso/local, and macro/global. The Sci2 Tool supports workflows in all fifteen varieties of scientometric studies, as well as combination and modeling studies. The following chapter describes the workflows used to conduct scientometric studies of each type and at each scale. Tables 5.1 and 5.2 show examples of studies in each category, several of which can be found in section 6 Sample Science Studies & Online Services.
Analysis Types and Sample Studies
Individual persons and their expertise profiles
Larger labs, centers, universities, research domains, or states
All of NSF, all of US, all of science.
Temporal Analysis (When)
Funding portfolio of one individual
Mapping topic bursts in 20-years of PNAS
113 years of physics research
Geospatial Analysis (Where)
Career trajectory of one individual
Mapping a state's intellectual landscape
Topical Analysis (What)
Base knowledge from which one grant draws
Knowledge flows in Chemistry research
Topic maps of NIH funding
Network Analysis (With Whom?)
NSF Co-PI network of one individual
NSF's core competency
Table 5.1: Major analysis types and levels of analysis.
Table 5.2: Screenshots of major analysis types and levels of analysis.