This Researchmetrics.txt file was generated on [2026.02.05] by [Ian Badger]

GENERAL INFORMATION

Title of Dataset: Research Metrics Enrichment Pipeline

Author Information:
Principal Investigator Contact Information:
Name: Ian Badger
Institution: University of Kent, Library Services.
Email: i.badger@kent.ac.uk

Date of data collection: 2025.11.21 - Ongoing (Script updated 2026.02.05)

Geographic location of data collection: Canterbury, England.

Information about funding sources: University of Kent.

DATA & FILE OVERVIEW

File List

A. Filename: Pipeline.txt
Short description: Process document covering the environment required to run the v3 metrics script.
Type of data: Plain text documentation.

B. Filename: research_metrics_pipeline_parallel_v3.py
Short description: Python script used to fetch metrics from OpenAlex and Scopus APIs.
Updated to support OpenAlex API keys and dynamic yearly citation tracking.
Type of data: Python (.py) source code.

C. Filename: run_research_metrics.bat
Short description: Launcher script that sets the SCOPUS_API_KEY and OPENALEX_API_KEY environment variables before executing the Python pipeline.
Type of data: Windows Batch File.

METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data:
Data is harvested via REST APIs from OpenAlex (https://openalex.org) and Elsevier Scopus (https://www.google.com/search?q=https://api.elsevier.com). The script matches DOIs from a KAR/KDR export and appends current citation counts, FWCI, Percentiles, SNIP, SJR, and CiteScore.

Software-specific information:
Requires Python 3.x and the 'pandas' and 'requests' libraries.

DATA-SPECIFIC INFORMATION (OpenAlex API)

As of February 2025, OpenAlex requires an API Key for high-volume access. Users should ensure their individual API key is configured in the .bat file to avoid 403 (Forbidden) errors or severe rate-throttling.

Preferred licence for this file: CC-BY