Research Data Management Practices

The paper highlights the importance of accurate metadata in biological data to prevent errors and advocates for improved software and controls to maintain data quality.

This study assesses metadata completeness in public omics studies, finding that most important phenotypes are often omitted, with only 11.5% of studies fully sharing all phenotypes.

The paper assesses metadata compliance for nucleotide sequence data in public archives and suggests improvements to enhance FAIR data management.

The paper introduces a browser-based tool to help researchers and repository developers use schema.org standards to improve the FAIRness of biomedical data.

A curated collection of processed ABCD neuroimaging derivatives plus utilities for access, sharing and analysis, letting researchers exchange derivatives they cannot share through the central archive.

This paper introduces the SPARC Data Structure (SDS), a FAIR standard for biomedical research data, and describes its rationale, design, and tools for implementation.

The paper analyzes transcriptomics data availability and reusability between microarray and RNA-seq experiments published between 2009 and 2013, and provides recommendations to improve RNA-seq data sharing.

SpiderSeqR streamlines access to multi-omic data repositories by integrating GEO and SRA, enabling unified search, annotation conversion, and query management.

The paper proposes a FAIR-compliant data management system integrating imaging and omics data using Service Oriented Architecture principles, demonstrating its use in plant biology and hepatocellular carcinoma studies.

Opentsv prevents Excel from corrupting scientific data by allowing safe opening of delimited data files without name conversions.

Version 2.0 of the Neurodata Without Borders neurophysiology format centres on the schema, with an accompanying software stack and community aimed at making recordings easier to reuse.

The paper discusses methods to geocode genomic sequence records using GBIF to add spatial information when it is missing.

The paper introduces baRcodeR and PyTrackDat to improve reproducibility in biological sample labeling, tracking, and data curation.

This paper demonstrates that data from old human patient studies can be extracted from publication figures and reanalyzed, raising ethical concerns about data sharing.

The paper introduces BRICS, a standardized informatics computing platform for managing biomedical research data, enabling data sharing and analysis across multiple domains.

This paper proposes MIAPTE guidelines to standardize reporting of particle tracking experiments, enhancing data FAIRness and reproducibility.

The paper curates a public domain genome dataset of 2,280 individuals from 23andMe under CC0 license for research use.

The paper introduces OME Files, an open-source reference library for the OME-XML metadata model and OME-TIFF file format to standardize biological imaging data.

The paper outlines 10 rules for sharing human genomic data to maximize research value while protecting participant privacy.

The paper introduces MultiCellDS, a standard and community-driven initiative for sharing multicellular data to enhance research in cell biology.

The paper introduces MultiCellDS, a standard for multicellular data curation, and presents MultiCellDB as a database to store associated data, enhancing data sharing and utility in biological and clinical research.