Data Archiving and Permissions
Ensuring reproducibility and accessibility of glycomics and metabolic research data for the global scientific community.
Data Availability Requirements
The Journal of Glycomics and Metabolism requires authors to make underlying research data available to support reproducibility and enable reanalysis. Data accessibility strengthens scientific rigor, enables verification of analytical conclusions, and facilitates meta-analyses combining glycan characterization or metabolomics datasets across studies.
Authors should deposit datasets in appropriate repositories before manuscript acceptance, with accession numbers included in published articles. Repository selection should consider data type, community standards, and long-term accessibility guarantees for glycomics and metabolomics information.
Recommended Repositories
Glycan Databases
GlyConnect, GlyTouCan, and GlyGen for glycan structure data including mass spectrometry annotations and compositional information supporting glycomics research.
Metabolomics Databases
MetaboLights and Metabolomics Workbench for metabolic profiling datasets including chromatographic and mass spectrometry data from metabolism studies.
General Repositories
Zenodo, Dryad, and Figshare for supplementary datasets, processed data files, and analysis scripts supporting research conclusions in published manuscripts.
FAIR Principles
Our data archiving policies support FAIR principles ensuring research data is Findable, Accessible, Interoperable, and Reusable. Structured metadata enables discovery through glycomics databases and scientific search engines. Standard formats ensure compatibility with analytical software and integration with existing glycoscience resources worldwide.
Permissions and Licensing
Data deposited in public repositories should include appropriate licensing enabling reuse while protecting author rights. Creative Commons licenses are recommended for datasets supporting published glycomics and metabolism research. Authors retain ownership while enabling scientific community access for verification, reanalysis, and building upon published findings.
For proprietary data with sharing restrictions, authors may describe data availability limitations in manuscripts. Contact our editorial office to discuss alternative arrangements for datasets with confidentiality requirements while maintaining commitment to research transparency and reproducibility standards.
Long-Term Preservation
Recommended repositories provide long-term preservation guarantees protecting data accessibility for future scientists. Persistent identifiers including DOIs enable reliable data citation and linking between publications and supporting datasets. Data preservation complements article archiving through LOCKSS and CLOCKSS networks, ensuring comprehensive research record accessibility.
Supplementary Materials
Large datasets, extended mass spectrometry data, complete chromatographic profiles, and detailed analytical protocols should be submitted as supplementary materials. These enhance reproducibility and enable researchers to build upon published glycomics and metabolism findings. Contact our editorial office for guidance on data sharing requirements and recommended repository selection for specialized glycomics data types. Supplementary files undergo review alongside main manuscripts.
Video demonstrations of analytical procedures may be included as supplementary content. Format requirements include MP4 compression with adequate resolution for scientific purposes. Supplementary materials receive permanent hosting alongside published articles, accessible through article supplementary links.
Data Citation
Published datasets should be cited in the reference list with repository name, accession number, and persistent identifier. Data citations acknowledge the effort involved in generating and curating glycomics datasets while enabling tracking of data reuse across the scientific literature. Proper data citation practices support researchers seeking to demonstrate the broader impact of their data contributions to glycoscience advancement and recognition within the glycomics research community. Authors should include data availability statements in manuscripts describing repository locations and access conditions for supporting datasets. This transparency supports research integrity and enables other scientists to verify and build upon published glycomics and metabolism findings. Contact our editorial office for guidance on data sharing requirements and recommended repository selection for specialized glycomics data types.
