ReviewBiopreservation and biobanking2018
Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health.
Review in Biopreservation and biobanking, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.
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
50 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Open tools for quantitative anonymization of tabular phenotype data: literature review.Briefings in bioinformatics · 2022Pooled it
- Systematic review of the status of veterinary epidemiological research in two species regarding the FAIR guiding principles.BMC veterinary research · 2021Pooled it
- Toward next-generation machine learning and deep learning for spatial omics.Briefings in bioinformatics · 2026Review
- Identifying the motivators, benefits and barriers to sharing participant-level data and samples: results from an international online survey of acute febrile illness cohort teams.BMC medical ethics · 2026Article
- The Development of the Biobank Collections Valuator as an Automated Tool to Determine the Noneconomic Value of Sample Collections.Biopreservation and biobanking · 2026Article
- Privacy-preserving data quality assessment for federated health data networks.BMC medical informatics and decision making · 2026Article
- Vietnam biobanking feasibility study: An overview of biobanking landscape, infrastructure, and capacity.AIMS public health · 2026Article
- Perceptions and Awareness of Healthcare Professionals Regarding FAIR Data Principles and Health Data Sharing in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures.Journal of medical Internet research · 2025Article
- Biorepositories For Global Rare Disease Research: A Narrative Review.Current rheumatology reports · 2025Review
- Datagraphy: toward a systematic approach to dataset discovery.GigaScience · 2025Article
- DataSHIELD: mitigating disclosure risk in a multi-site federated analysis platform.Bioinformatics advances · 2025Article
- How the world of biobanking is changing with artificial intelligence.Frontiers in digital health · 2025Review
- Applying Findable, Accessible, Interoperable, and Reusable Principles to Biospecimens and Biobanks.Biopreservation and biobanking · 2024Article
- Experts Speak Forum: Implementation of the FAIR Principles in Biobanking Needs Fair Incentives.Biopreservation and biobanking · 2024Article
- FAIR data management: a framework for fostering data literacy in biomedical sciences education.BMC medical research methodology · 2024Article
- Sharing sensitive data in life sciences: an overview of centralized and federated approaches.Briefings in bioinformatics · 2024Review
- Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine.Journal of translational medicine · 2024Review
- Toward a common standard for data and specimen provenance in life sciences.Learning health systems · 2024Article
- Digital pathology implementation in cancer diagnostics: towards informed decision-making.Frontiers in digital health · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
The known challenge of underutilization of data and biological material from biorepositories as potential resources for medical research has been the focus of discussion for over a decade. Recently developed guidelines for improved data availability and reusability-entitled FAIR Principles (Findability, Accessibility, Interoperability, and Reusability)-are likely to address only parts of the problem. In this article, we argue that biological material and data should be viewed as a unified resource. This approach would facilitate access to complete provenance information, which is a prerequisite for reproducibility and meaningful integration of the data. A unified view also allows for optimization of long-term storage strategies, as demonstrated in the case of biobanks. We propose an extension of the FAIR Principles to include the following additional components: (1) quality aspects related to research reproducibility and meaningful reuse of the data, (2) incentives to stimulate effective enrichment of data sets and biological material collections and its reuse on all levels, and (3) privacy-respecting approaches for working with the human material and data. These FAIR-Health principles should then be applied to both the biological material and data. We also propose the development of common guidelines for cloud architectures, due to the unprecedented growth of volume and breadth of medical data generation, as well as the associated need to process the data efficiently.
Indexed as
Identifiers
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.