Home > Research > Publications & Outputs > A survey of systematic evidence mapping practic...

Electronic data

  • A survey of systematic evidence mapping practice and the case for knowledge graphs in environmental health and toxicology

    Rights statement: 12m

    Accepted author manuscript, 1.05 MB, PDF document

    Embargo ends: 1/01/50

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Text available via DOI:

View graph of relations

A survey of systematic evidence mapping practice and the case for knowledge graphs in environmental health & toxicology

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print
<mark>Journal publication date</mark>25/02/2020
<mark>Journal</mark>Toxicological sciences : an official journal of the Society of Toxicology
Number of pages43
Publication StatusE-pub ahead of print
Early online date25/02/20
<mark>Original language</mark>English


Systematic evidence mapping offers a robust and transparent methodology for facilitating evidence-based approaches to decision-making in chemicals policy and wider environmental health. Interest in the methodology is growing; however, its application in environmental health is still novel. To facilitate the production of effective systematic evidence maps for environmental health use cases, we survey the successful application of evidence mapping in other fields where the methodology is more established. Focusing on issues of “data storage technology”, “data integrity”, “data accessibility”, and “transparency”, we characterise current evidence-mapping practice and critically review its potential value for environmental health contexts. We note that rigid, flat data tables and schema-first approaches dominate current mapping methods and highlight how this practice is ill-suited to the highly connected, heterogeneous and complex nature of environmental health data. We propose this challenge is overcome by storing and structuring data as “knowledge graphs”. Knowledge graphs offer a flexible, schemaless and scalable model for systematically mapping the environmental health literature. Associated technologies such as ontologies are well-suited to the long-term goals of systematic mapping methodology in promoting resource-efficient access to the wider environmental health evidence base. Several graph storage implementations are readily available, with a variety of proven use cases in other fields. Thus, developing and adapting systematic evidence mapping for environmental health should utilise these graph-based resources to ensure the production of scalable, interoperable and robust maps to aid decision-making processes in chemicals policy and wider environmental health.