Data collection from literature for biological sciences, medicinal plants research, ethnobotany, and pharmacology: a methodological overview

Writing a comprehensive review article in biological sciences, ethnobotany, or pharmacology requires a systematic approach to data collection. This involves defining search strategies, identifying relevant databases, establishing inclusion/exclusion criteria, and assessing study quality. Knowing how to collect data effectively is crucial for producing a high-quality review article that provides valuable insights and informs future research. This overview outlines a methodological framework for data collection, highlighting key steps, databases, and software tools to facilitate the process, ultimately enabling researchers to synthesize and analyse data, identify gaps, and draw meaningful conclusions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-06
DOI
https://doi.org/10.5281/zenodo.15610714
Primary Topic
Cancer and biochemical research
Type
article
Field-Weighted Citation Impact
0.00
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article

Data collection from literature for biological sciences, medicinal plants research, ethnobotany, and pharmacology: a methodological overview

Zenodo (CERN European Organization for Nuclear Research)
Cancer and biochemical research
article

Data collection from literature for biological sciences, medicinal plants research, ethnobotany, and pharmacology: a methodological overview

article en

Abstract

Writing a comprehensive review article in biological sciences, ethnobotany, or pharmacology requires a systematic approach to data collection. This involves defining search strategies, identifying relevant databases, establishing inclusion/exclusion criteria, and assessing study quality. Knowing how to collect data effectively is crucial for producing a high-quality review article that provides valuable insights and informs future research. This overview outlines a methodological framework for data collection, highlighting key steps, databases, and software tools to facilitate the process, ultimately enabling researchers to synthesize and analyse data, identify gaps, and draw meaningful conclusions.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 55%
Cancer and biochemical research
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