ArticleInternational journal of population data science2025
Data dictionaries: essential tools for the ethical and transparent use of integrated data.
Article in International journal of population data science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Expanding the PHES-ODM: A Comprehensive, Open-Source Data Model for the Future of Wastewater-Based Epidemiology.Microorganisms · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data transparency lays the groundwork for the ethical use of administrative data. This is particularly true for linked administrative data within integrated data systems (IDS). Data dictionaries, resources that maintain the metadata of the information housed in an IDS, offer a tool to ensure transparency throughout the data life cycle. The FAIR Principles, which assert that data be Findable, Accessible, Interoperable, and Reusable provide a useful framework by which to measure the effectiveness of data dictionaries in the IDS context. This paper uses the FAIR Principles to discuss the ways in which data dictionaries serve as tools in the ethical and transparent use of integrated data as well as the challenges that remain. Linked administrative data is a valuable source of information for programmatic and academic research. Data dictionaries facilitate the ethical handling of this sensitive information and maintain a commitment to transparency in data inquiry and research.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.