<p>This dataset underlies the report generated entitled "Key Trends and Drivers in Military Modernization in the Indo-Pacific: Implications for Australia and Responses" by Bates Gill, Yves-Heng Lim, Antoine Levesques, Adam Lockyer, Fred Smith, Rahul Roy-Chaudhury, Viraj Solanki and Andrew T. H. Tan. </p>
<p>This project addresses the priority Defence policy topic of Accelerating Regional Military Modernization (and Asymmetric Advantages). It assesses the trends, attributes and drivers of accelerating military modernization in the Indo-Pacific, in order to understand and clearly delineate the challenges facing Australia. The report then proceeds to examine the roles of the key actors in this phenomenon, namely, China, the United States and India. Finally, the project puts forward and assesses potential Australian responses in the face of the region’s accelerating military modernization dynamic.</p>
<p><br></p>
<p>The dataset is made up of the following:</p>
<p>1. Estimated_Personnel_in_the_PRC_Armed_Forces_2016_and_2020.csv</p>
<p>2. Selected_PLA_Weaponry_2020.csv </p>
<p>3. Report - Military Modernization in the Indo-Pacific.pdf </p>
<p>4. Seminar_Recording_1920x1080_GMT20220915-020051.mp4</p>
Funding
This project was funded by the Department of Defence (Australia) under its Strategic Policy Grants Program 202021-0235 Macquarie University, from 1 July 2021 until 30 September 2022.
History
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Institutional review completed
FAIR Self Assessment Summary
This text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool
Findable
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Global
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Yes
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Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema
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Data is in one place but discoverable through several registries
Accessible
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How accessible is the data?
Publicly accessible
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File download from online location
Will the metadata record be available even if the data is no longer available?
Yes
Interoperable
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What (file) format(s) is the data available in?
In a structured, open standard, machine-readable format
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Standardised vocabularies/ontologies/schema without global identifiers
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There are no links to other metadata
Reusable
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Standard machine-readable license (e.g. Creative Commons)
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Partially recorded