Table 1.

Data-charting form.

Section		Description
Section 1: Overview		Summary of the basic information of the publication
	Publication type	Peer reviewed or grey literature
	Country	Name of the country or countries where the study took place or focused on
	Objective	Aim or objective of the publication
	Methodology	The specific procedures or techniques used to identify, select, process, and analyze information
	Study design and data management	Includes whether the researchers used quantitative, qualitative, or mixed-method approaches
	Setting of the study	The site in which the researcher conducted the study
	Summarized results	A short summary of the findings
Section 2: Research questions		Includes the research questions and the date that the literature was published
	Suggested health care domain–specific FAIRificationa concepts and approaches	A description of FAIRification concepts and approaches in the health care domains
	FAIR implementation challenges, risks, and lessons learned	Encountered challenges or anticipated changes and lessons learned at different stages of FAIR data principle concept introduction, infrastructure implementation, and FAIRness evaluation
	Active networks involved in the implementation of the FAIR data principles in the health domain	Dedicated networks of scientific communities, research institutions, repositories or data archives, consortia, funding agencies, and citizens who are actively engaged in advocating FAIR principle data stewardship in the health care domains
	FAIRification reported outcomes	FAIR implementation outcomes in terms of data sharing, data reuse, and research publication after imposing FAIR data principles in health domain

^aFAIR: findable, accessible, interoperable, reusable.