Scoping Review Data for Biobanking Digital Infrastructure in LMICs

154 studies from a scoping review inform a conceptual framework for biobanking in low- and middle-income countries. The data underpins the DIGS Model, which analyzes structural gaps in biospecimen-data integration. Anna Michalska-Falkowska authored this 25.5 KB Excel file, last updated in May 2026.

Use Cases

• Analyzing structural gaps in biobanking based on the four identified interdependent gaps (infrastructure, interoperability, human-capital, governance).
• Evaluating partnership models for genomic research based on the framework's challenge to the infrastructure-first paradigm.
• Informing investment strategies for digital health based on the cyclical, equitable process described in the DIGS Model.

Strengths

• Based on a synthesis of 154 studies from a systematic search of five major databases.
• Explicitly focuses on low- and middle-income country contexts, addressing a specific research gap.
• Provides a concrete conceptual framework (the DIGS Model) derived from the review.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 25.5 KB file size suggests a limited scope, likely containing summary or framework data rather than raw study records.

Provenance

Source

figshare, authored by Anna Michalska-Falkowska.

Collection Method

Data likely results from a critical scoping review using the Arksey and O’Malley framework, synthesizing peer-reviewed articles, policy documents, and grey literature.

Freshness

Last updated 2026-05-22 05:35:58; freshness should be verified.

Geography

Low- and middle-income country contexts.