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This document outlines the features, usage, and demonstrations of the Sci2 Tool designed for analyzing and visualizing scientific data, particularly in the context of network science. It includes
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How to fill out Sci2: A Tool of Science of Science Research and Practice

01
Download and install the Sci2 Tool from the official website.
02
Open the Sci2 Tool and familiarize yourself with the interface.
03
Import your data sources; this might include bibliographic data, citation data, or any other relevant science data.
04
Select the appropriate analysis module for your research needs, such as network analysis or temporal analysis.
05
Configure the parameters for your analysis based on the type of inquiry you are conducting.
06
Run the analysis and wait for results to be generated.
07
Visualize the results using the built-in visualization tools available in the Sci2 Tool.
08
Export the results in your desired format for further use or sharing.

Who needs Sci2: A Tool of Science of Science Research and Practice?

01
Researchers conducting scientific studies who require data analysis tools.
02
Academics looking to visualize and analyze trends in scientific literature.
03
Policy-makers interested in the science of science to inform funding and research policies.
04
Anyone involved in bibliometrics or scientometrics.
05
Data scientists and analysts who focus on research data.
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Sci2 is a software tool designed to assist researchers in the field of Science of Science (Sci2) by providing capabilities for data analysis, visualization, and exploration of scientific data and trends.
Researchers and organizations involved in scientific studies or projects that utilize the Sci2 tool for data analysis and research purposes are typically required to file documentation or reports related to their use of the tool.
To fill out Sci2, users should gather relevant scientific data, input it into the application, select appropriate analysis methods, and then follow the tool's guidelines for generating and documenting results.
The purpose of Sci2 is to facilitate the analysis and visualization of scientific data, enabling researchers to uncover patterns, relationships, and trends that can inform scientific practices and decision-making.
Reported information typically includes datasets analyzed, methodologies employed, findings and results generated, and any visualizations produced during the research process.
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