Technology performance time-series and patent sets for 30 technology domains and measurements of patent centrality for 5.259.906 US patents

Published: 18 November 2020| Version 2 | DOI: 10.17632/f4fj887y67.2
Contributors:
Giorgio Triulzi,
Christopher L. Magee

Description

This dataset accompanies the study presented in G. Triulzi, J. Alstott, C.L. Magee, "Estimating Technology Performance Improvement Rates by Mining Patent Data", published on Technological Forecasting and Social Change, https://doi.org/10.1016/j.techfore.2020.120100. The content of the data files as well as the methods used to create them are described in the article G. Triulzi, C.L. Magee, "Functional performance improvement data and patent sets for 30 technology domains with measurements of patent centrality and estimations of the improvement rate", published on Data in Brief, https://doi.org/10.1016/j.dib.2020.106257. If you use the data, please cite both papers and this Mendeley Data repository. Python code to process and analyze this data is available at https://github.com/GiorgioTriulzi/TechnologyPerformanceImprovementEstimates

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Institutions

Massachusetts Institute of Technology, Universidad de los Andes

Categories

Patent, Technological Forecasting, Technological Evolution, Technological Innovation

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