Precision Nanomedicine and its publisher, Andover House Inc., follow the data-sharing statement principles of ICMJE, which is detailed in an editorial (https://www.icmje.org/news-and-editorials/principles_data_sharing_jan2014.html).
1. Manuscripts submitted to ANHI journals that report the results of clinical trials must contain a data-sharing statement as described below.
2. Clinical trials that begin enrolling participants on or after 1 January 2020 must include a data-sharing plan in the trial’s registration. The ANHI’s policy regarding trial registration is explained here: http://www.icmje.org/recommendations/browse/publishing-and-editorial-issues/clinical-trial-registration.html. If the data-sharing plan changes after registration, this should be reflected in the statement submitted, published with the manuscript, and updated in the registry record.
3. Data-sharing statements must indicate the following:
(a) whether individual de-identified participant data (including data dictionaries) will be shared (“undecided” is not an acceptable answer)
(b) what data will be shared
(c) whether additional, related documents will be available (e.g., study protocol, statistical analysis plan, etc.); when the data will become available, and for how long
(d) By what access criteria will data be shared (including with whom, for what types of analyses, and by what mechanism)?
4. Authors of secondary analyses using shared data must attest that their use was in accordance with the terms (if any) agreed upon receipt. They must also reference the data source using its unique, persistent identifier to provide appropriate credit to those who generated it and allow searching for the studies it has supported. Authors of secondary analyses must explain how theirs differ from previous investigations. Besides, those who generate and share clinical trial data sets deserve substantial credit for their efforts. Those using data collected by others should seek collaboration with those who received the data. As collaboration will not always be possible, practical, or desired, the efforts of those who generated the data must be recognized.