Provided by the Cyberinfrastructure for Network Science Center at Indiana University.
Introduction
E. O. Wilson writes in Consilience: The Unity of Knowledge (1998): “Features that distinguish science from pseudoscience are repeatability, economy, mensuration, heuristics, and consilience.”
Please see  Börner’s recent presentation at the A Deeper Look at the Visualization of Scientific Discovery NSF Workshop for a general introduction of the needs and the resources provided here.
Needs Analysis
As part of the “TLS: Towards a Macroscope for Science Policy Decision Making” NSF SBE-0738111 award, interviews with science policy makers are conducted to identify what 'science of science' research results and tools might be most desirable and effective. So far, 30 formal, one-hour interviews have been conducted with science policy makers at university campus level, program officer level, and division director level for governmental, state, and private foundations. Data compilation will start in October 2008 and resulting report can be ordered by sending a request to Mark Price (maaprice@indiana.edu).
Conceptualization of Science
A ‘science of science’ requires a theoretically grounded and practically useful conceptualization of the structure and evolution of science. A special journal issue entitled “Science of Science: Conceptualizations and Models of Science” edited by Katy Börner, Indiana University & Andrea Scharnhorst, Royal Netherlands Academy of Arts and Sciences invites contributions on this topic. It will be published in the Journal of Informetrics 3(1) in January 2009.
Scholarly Database
The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The database currently provides access to over 20 million papers, patents and grants. Resulting datasets can be downloaded in bulk. Register for free access at https://sdb.slis.indiana.edu/.
Cyberinfrastructures
The Scientometrics filling of the Network Workbench (NWB) Tool provides a unique distributed, shared resources environment for large-scale network analysis, modeling, and visualization. Thomson Scientific/ISI, Scopus and Google Scholar data, EndNote and Bibtex files, or NSF awards can be read and diverse networks can be extracted and studied. Download User Manual with focus on Scientometrics.
Science of Science (Sci2) Tool
The Sci2 Tool is a modular toolset specifically designed for the study of science. It supports the temporal, geospatial, topical, and network analysis and visualization of scholarly datasets at the micro (individual), meso (local), and macro (global) levels. Registration required.
Application and Evaluation
Science of Science research can be performed at an individual, local, or global level. Temporal, geospatial, semantic, or network features might be of interest. Results are commonly presented as text, tables, charts, geospatial maps, or science maps.
Examples are Trends in Animal Behaviour Research (1968-2002), Scholarly Networks on Resilience, Vulnerability and Adaptation, Mapping Network Science, or Mapping Topics and Topic Bursts in PNAS. Other papers are linked from here.
Standards and Practices
Theoretically grounded, practically relevant research using testable hypotheses and producing well documented, repeatable results are desirable. Recent work by Kevin W. Boyack and Richard Klavans compares different similarity measures to ensure structural accuracy, studies the accuracy of science maps at the local and global level. Their recent work compares the structure of 20 maps of science.

A standard for the color coding of scientific disciplines is emerging.
Mapping Science Exhibit
Few people know that mankind’s scholarly knowledge can be mapped for means of navigation, management, and utilization. The Places & Spaces: Mapping Science exhibit aims to introduce the power of maps to chart physical places and abstract knowledge spaces. The physical part of the exhibit supports the close inspection of high quality reproductions of maps for display at conferences and education centers, see information on how to host the exhibit. The online counterpart provides links to a selected series of maps and their makers. The exhibit is a 10-year effort. Each year, 10 new maps are added resulting in 100 maps total in 2014. Maps are available for sale.
News
If you would like to receive news on press, publications, tools, conferences related to science of science cyberinfrastructure please subscribe to our listserve by contacting Mark Price (maaprice@indiana.edu).
 

References
Börner, Katy, Sanyal, Soma & Vespignani, Alessandro. (2007). Network Science. In Cronin, Blaise (Eds.), Annual Review of Information Science & Technology (Vol. 41, pp. 537-607), chapter 12, Medford, NJ: Information Today, Inc./American Society for Information Science and Technology.

Börner, Katy, Chen, Chaomei & Boyack, Kevin W. (2003). Visualizing Knowledge Domains. In Cronin, Blaise (Eds.), Annual Review of Information Science & Technology (Vol. 37, pp. 179-255), chapter 5, American Society for Information Science and Technology, Medford, NJ.

Shiffrin, Richard M. & Börner, Katy (Eds.), Introduction: Mapping Knowledge Domains. (2004). Proceedings of the National Academy of Sciences of the United States of America, Vol. 101(Suppl. 1).

  Acknowledgments
This work is supported in part by the Cyberinfrastructure for Network Science center and the School of Library and Information Science at Indiana University, the National Science Foundation under Grant No. SBE-0738111 and IIS-0513650, and the James S. McDonnell Foundation.

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Last Modified 2.11.2010 | Graphic Design by Elisha Hardy