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Published December 21, 2024 | Version v4

IntelArchive: Intelligence Studies Database dataset

  • 1. ROR icon Imperial College London
  • 2. ROR icon King's College London

Description

This dataset contains metadata of publications within the Intelligence Studies Network database (https://intelarchive.io/). The dataset is updated at least twice a year. The data sources and the collection methodology are available in the following paper: 

Ozkan, Yusuf A. ‘“Intelligence Studies Network”: A Human-Curated Database for Indexing Resources with Open-Source Tools’. arXiv, 7 August 2024. https://doi.org/10.48550/arXiv.2408.03868.
 
  • all_items.csv: metadata records of all publications within the Intelligence Studies Network database 
  • all_items_duplicated.csv: metadata records of all publications within the Intelligence Studies Network database duplicated for each collection where the item is assigned to
  • citations.csv: citation records for items within the Intelligence Studies Network database (citation record are not available for all records)
  • institutions_database.csv: institutions (e.g. academic programs, government organisations, research centres) working/studying on intelligence
  • events_database - events_v1.csv AND events_database - events_v2.csv: records of events organised by different institutions covering the topic of intelligence studies (v1 is not updated anymore)
  • events_database - conferences.csv AND events_database - conferences_v2.csv: records of conferences about intelligence studies
  • events_database - cfps.csv AND events_database - cfps_v2.csv: records of call for papers of conferences or edited journal volumes

Files

all_items.csv

Files (21.8 MB)

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md5:6b503831503f71b0419d2eb6f5fe5df8
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md5:c560c02f819dfea7e8d7bcef86ad8f8b
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md5:80ee599bdd04c1229a1e18407d5cbe14
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md5:8015006968e8f4f207d12b20aa2afbc6
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md5:7b1b8ad1c7bc50b1af7b9038f188a1a0
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md5:e5d827f47485e984529068e1589a2e1c
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md5:25befdcae9696b2965ad527786c4f4ae
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md5:d783c196c930f91fa4f3bf1ef555dbaf
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md5:debb09198852f06e68a851575c7b850e
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Additional details

Related works

Describes
Preprint: 10.48550/arXiv.2408.03868 (DOI)