Sharing Data

The HEAL-compliant data checklist and checklist tracker tool help investigators along their data sharing journey. While the Checklist offers a step-by-step guide for studies to maintain HEAL Public Access and Data Sharing Policy compliance, the Checklist Tracker Tool provides a more personalized look—showing investigators study-specific updates to indicate which checklist steps their study completed and which are outstanding.

This resource walks investigators through key decisions and activities for successful data sharing throughout the study lifecycle.

This guide offers valuable resources and guidance to empower investigators to safely share various sensitive data types, provides an overview of commonly encountered HEAL data types, and outlines current and future resources to facilitate secure data sharing.

This decision tool aids investigators analyzing sensitive data in identifying additional or specialized requirements for specific types of sensitive data.

This resource provides data package examples and primers across various research data types in the HEAL Ecosystem.

This paper describes the most prominent blockers to data sharing, followed by the top ten reasons data sharing can help with these concerns, and concludes with a list of references that discuss these concerns and reasons for sharing in greater depth.

This resource provides guidance for preparing variable-level metadata (VLMD; often in the form of a data dictionary) to support clarity, consistency, machine processing, reuse, and alignment with the VLMD schema used by the HEAL Data Ecosystem. VLMD is a core component of a complete HEAL data package and, together with your data files and any summary or README documentation, enables others to understand how your research defines, measures, and encodes variables, supporting reuse, downstream analysis, and smoother submission.