Data Archiving Permissions
Policies supporting research reproducibility and data preservation in enzymology.
Supporting Open Enzyme Science
JEN encourages transparent data practices that enable verification and replication of enzyme research findings. These policies outline author permissions and responsibilities for research data management.
Authors are strongly encouraged to make research data underlying published findings available. Data availability supports reproducibility and enables secondary analyses that advance enzyme science. JEN requires Data Availability Statements in all published articles.
Protein Structures
Deposit crystallographic and cryo-EM data in PDB and EMDB with appropriate metadata.
Sequence Data
Submit enzyme sequences to GenBank, UniProt, or similar repositories before acceptance.
Kinetic Data
Extended datasets can be deposited in Figshare, Zenodo, or published as supplementary materials.
Commercial Research: When data cannot be fully shared due to patent applications or proprietary agreements, authors should explain limitations clearly in the Data Availability Statement. Partial data sharing or sharing upon reasonable request may be acceptable.
Molecular dynamics simulations and computational enzyme studies should deposit input files, scripts, and trajectory data in appropriate archives. GitHub or Zenodo repositories for computational methods support reproducibility of theoretical enzyme research.
Extended kinetic datasets, additional figures, detailed protocols, and analytical validations can be submitted as supplementary materials. These undergo peer review alongside the main manuscript and receive permanent DOIs for citation.
Authors retain ownership of their research data. JEN policies encourage but do not require data sharing beyond what is needed to support article claims. Authors determine appropriate access restrictions based on ethical obligations and institutional policies.
JEN is committed to long-term preservation of published content and associated supplementary materials. Data deposited in recognized repositories benefit from established preservation infrastructure ensuring continued accessibility.
Raw kinetic data supporting published parameters should be available to readers. Authors may deposit assay conditions, raw measurements, and analysis methods in supplementary materials or public repositories. This transparency supports verification and builds confidence in reported findings.
When data cannot be fully shared due to patent applications, commercial agreements, or other valid restrictions, authors should explain limitations in their Data Availability Statement. Sharing upon reasonable request may be appropriate for some enzyme discoveries.
Authors are encouraged to deposit analysis code and computational tools in repositories such as GitHub or Zenodo. Persistent identifiers for code enable reproducibility and appropriate credit for methodology development.
When depositing datasets, authors should maintain version control allowing readers to access the exact data versions supporting published findings. Date-stamped deposits provide permanent records matching published analyses and supporting exact replication of reported findings.
replication of reported findings.JEN follows community data sharing standards for enzyme research. Authors should consult field-specific guidelines for data deposition and formatting to maximize utility of shared resources for the enzymology community.
