Research Data Management Practices

GEOMetaCuration is a web-based tool for curating Gene Expression Omnibus metadata, streamlining the process and enabling collaborative curation efforts.

The paper compares two Hi-C samples, showing how adherence to FAIR principles leads to successful sequencing projects.

The paper provides best practice data life cycle approaches for life sciences researchers focusing on omics datasets and computational data analysis.

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

The paper outlines ten lessons for designing, provisioning, and reusing persistent identifiers to improve data integration in life sciences.

The paper introduces IDR, a platform for integrating and disseminating biological image data, enabling analysis of gene networks and functional interactions through linked data and computational resources.

The paper introduces DATS, a metadata model for dataset discoverability, and describes its implementation for the DataMed data discovery index.

DataMed enhances data discoverability by creating a unified index of biomedical datasets across repositories, supporting FAIR principles for better knowledge discovery.

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 provides practical recommendations for improving data availability and sharing in brain image biobanking to enhance research and clinical applications.

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.

biodumpy is a Python package that retrieves, manages, and integrates biological data from multiple public databases to support ecological research.