'Intelligence Studies Network': A human-curated database for indexing resources with open-source tools
August 07, 2024 Β· Declared Dead Β· π CrimRxiv
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Yusuf A. Ozkan
arXiv ID
2408.03868
Category
cs.DL: Digital Libraries
Cross-listed
cs.DB
Citations
0
Venue
CrimRxiv
Last Checked
3 months ago
Abstract
The Intelligence Studies Network is a comprehensive resource database for publications, events, conferences, and calls for papers in the field of intelligence studies. It offers a novel solution for monitoring, indexing, and visualising resources. Sources are automatically monitored and added to a manually curated database, ensuring the relevance of items to intelligence studies. Curated outputs are stored in a group library on Zotero, an open-source reference management tool. The metadata of items in Zotero is enriched with OpenAlex, an open access bibliographic database. Finally, outputs are listed and visualised on a Streamlit app, an open-source Python framework for building apps. This paper aims to explain the Intelligence Studies Network database and provide a detailed guide on data sources and the workflow. This study demonstrates that it is possible to create a specialised academic database by using open source tools.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Digital Libraries
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Measuring academic influence: Not all citations are equal
R.I.P.
π»
Ghosted
The Open Access Advantage Considering Citation, Article Usage and Social Media Attention
R.I.P.
π»
Ghosted
A Bibliometric Review of Large Language Models Research from 2017 to 2023
R.I.P.
π»
Ghosted
On the Performance of Hybrid Search Strategies for Systematic Literature Reviews in Software Engineering
R.I.P.
π»
Ghosted
A Systematic Identification and Analysis of Scientists on Twitter
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted