Authors may archive data that supports their findings in institutional, disciplinary, or general purpose repositories. J3DPA recommends repositories that provide persistent identifiers so datasets remain citable and linked to the published article. Data should be shared in formats that allow reuse and independent verification.

Data archiving is strongly encouraged for experimental measurements, process parameter sets, simulation inputs and outputs, and performance benchmarks. Where full data sharing is not possible, authors should provide a clear explanation and describe how qualified readers may access the data under reasonable conditions.

Shared datasets improve research impact by enabling other teams to validate results, compare materials, and build on published workflows. In additive manufacturing, data transparency is especially valuable because performance can vary by printer settings, material batches, and post processing steps. Clear data makes it easier for industry to replicate outcomes and for academic groups to extend the work.

Open data also supports citation growth. Researchers frequently cite datasets when they reuse parameters or benchmark results. A well documented dataset with a DOI can become a reusable asset that complements the article and increases visibility across materials, manufacturing, and biomedical engineering disciplines.

Embargoes may be permitted when required by patent filings, industry agreements, or ongoing commercialization efforts. Authors should disclose embargo timelines at submission and describe the reason for temporary restriction. J3DPA supports reasonable embargoes when they are necessary and clearly documented.

For biomedical printing and patient related data, comply with ethical approvals and privacy regulations. De identify data where possible and avoid sharing any information that could reveal participant identity. The editorial office may request additional documentation for sensitive datasets. The team can advise on anonymization strategies when needed.