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Published August 20, 2024 | Version v2
Dataset Open

Intelligence Studies Network dataset

Authors/Creators

  • 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://intelligence.streamlit.app/). 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: records of conferences about intelligence studies
  • events_database - cfps.csv: records of call for papers of conferences or edited journal volumes

Files

all_items.csv

Files (19.7 MB)

Name Size Download all
md5:1a9669b097a041d8fa58ff1312a157f2
7.1 MB Preview Download
md5:a6f82d36ef56a955f40ee6f28ea2ac85
11.4 MB Preview Download
md5:8a5259c1ad2655fdab99bd8962169523
841.6 kB Preview Download
md5:8015006968e8f4f207d12b20aa2afbc6
33.6 kB Preview Download
md5:e5d827f47485e984529068e1589a2e1c
32.7 kB Preview Download
md5:25befdcae9696b2965ad527786c4f4ae
109.6 kB Preview Download
md5:3388f9bbf7f9842b174dc01b331e2d36
130.6 kB Preview Download
md5:debb09198852f06e68a851575c7b850e
27.0 kB Preview Download

Additional details

Related works

Describes
Preprint: 10.48550/arXiv.2408.03868 (DOI)