PubMed HealthSearch

SEARCH · PubMed Health

Results for “FAIR”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources

The INSDC specifications-foundations for a FAIR and global INSDC.

Members of the International Nucleotide Sequence Database Collaboration (INSDC; https://www.insdc.org/) collect, exchange, and preserve comprehensive open nucleotide sequence information and provide tools for its access. The INSDC has stated its commitment to welcoming new members into the collaboration to be more representative of the global community of data and users. To reach this goal, a comprehensive definition of the INSDC data model and minimum requirements for data acceptance have been established. Here we describe the processes used to arrive upon these INSDC Specifications and lay out strategies for their continued upkeep to remain current and relevant. Database URL:  https://www.insdc.org/.

Databases, Nucleic Acid

Pithos - a scalable and secure data container for FAIR-compliant research data management in life sciences.

Modern research techniques have led to exponential growth in the volume and complexity of scientific data. Consequently, managing these volumes securely and efficiently has become a major challenge. While all research domains face these challenges, life science research is particularly affected because current approaches often rely on a large set of different file formats, with metadata stored in separated databases or spreadsheets. This leads to fragmented datasets, orphaned data, and compromised research reproducibility. Traditional solutions also force researchers to choose between security and accessibility, with encrypted files preventing selective access and indexed formats lacking adequate security for sensitive data. These limitations are particularly problematic in large-scale genomic studies where researchers must decompress multi-gigabyte files to access specific regions, creating computational bottlenecks and inefficient network usage when working with cloud-stored datasets. We introduce Pithos, a next-generation file format specifically designed for scientific data management in distributed cloud environments. The format uses content-defined chunking to enable efficient deduplication across distributed storage systems, thereby reducing storage costs and bandwidth requirements. The append-only structure ensures data immutability and allows for incremental updates without compromising content. Benchmark results show that Pithos outperforms existing solutions in read and write performance, with comparable or improved storage efficiency.

Biological Science Disciplines

An evaluation of the utility of high blood pressure detection fairs.

Our data indicate that voluntary casual screenings in essentially middle class locations may be of limited value in attracting the young, the black, and the male relative to the target population. Our screens attracted a large proportion of individuals who where already aware of their high blood pressure. Nevertheless, these screens can be useful in getting and keeping individuals under medical care: newly detected hypertensives, those who knew they have it and even some of those under treatment for it.

Evaluation Studies as Topic