Meta-Analysis of Blind Protocol Use in Life Sciences Research

This dataset supports a meta-analysis investigating the prevalence and impact of blind data recording in the life sciences. It was compiled by author Luke Holman using text mining and literature review methods, with findings last updated in June 2020.

Use Cases

• Analyze the reported prevalence of blind protocols across different life sciences subfields identified in the literature review.
• Investigate the correlation between nonblind studies and reported effect sizes from the text-mined data.
• Examine the relationship between nonblind methodologies and the significance of p-values extracted from the reviewed literature.

Strengths

• The dataset is derived from a systematic literature review and text mining, providing a structured basis for meta-analysis.
• The data is openly available under a CC0 1.0 public domain license, facilitating unrestricted reuse.
• The associated research was published in 2020, offering a contemporary snapshot of practices in the field.

Limitations

• The dataset's scope is limited to the literature reviewed and text-mined, which may not represent the entire body of life sciences research.
• The specific sample size, variables, and raw data structure are not detailed in the available metadata.
• Findings are based on reported methodologies in publications, which may not fully reflect actual research practices.

Provenance

Source

Luke Holman via Dryad.

Collection Method

Compiled via text mining and literature review of life sciences publications.

Time Range

Covers the period of literature included in the underlying meta-analysis.

Freshness

Last updated 2020-06-24.

Geography

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