Table 4.
Summary of recommended best practices for data reproducibility and usability.
• Publication of step-by-step methodology |
∘ Publication in protocol journal or protocol repository, for example, Protocols.io or Nature Protocol Exchange |
∘ Permanent citable identifier |
• Use of consensus pipeline or publication of all custom scripts and code used in data analysis, for example, on GitHub |
• Preservation and publication of local computing environment using containers |
• Data sharing of raw files in public access repositories with needed metadata |
∘ Notation of protocol identifier in data’s provenance |
• Linked data annotation per Table 3 recommendations |