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The HEAL Data Ecosystem is part of the Helping to End Addiction Long-term^® Initiative, or NIH HEAL Initiative^®, an NIH-wide effort to speed scientific solutions to stem the evolving national opioid public health crisis. The HEAL Data Ecosystem is made up of valuable resources and support teams which enable open science in HEAL, accelerating the sharing of HEAL-generated data and results. By sharing HEAL-generated data and findings with researchers, healthcare providers, community leaders, policymakers, advocates, and other stakeholders, the HEAL Data Ecosystem promotes open science and collaboration. This broad exchange ensures that research discoveries are translated into knowledge and solutions that benefit the communities affected by the opioid crisis.

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NIH

The HEAL Data Ecosystem Collective Board provides input on Ecosystem activities. Read more about the Collective Board here.

Tools and Resources

HEAL Data Platform

The provides a secure environment where users , as well as . The Platform connects to  where data are stored, providing a single point of access to the diverse array of studies and data funded by the NIH HEAL Initiative. The HEAL Data Platform offers a secure,  cloud computing environment for data analysis, providing researchers with easy access to powerful commercial and open-source software tools.

The HEAL Data Platform allows a broad range of stakeholders, including investigators, advocates, clinicians and community organizers, to easily find HEAL data and research results. Users can leverage the Platform to inform their own research, practice policies, and inquiries. There are many possible uses for HEAL data ().

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HEAL Semantic Search

The NIH HEAL Initiative provides a , an easy to use, concept-based search tool that connects information about HEAL studies and biomedical concepts. Unlike traditional keyword matching, HSS uses synonyms and concepts related to HEAL research to uncover connections between biomedical concepts found in studies’ metadata with those in biomedical ontologies. This  of the HEAL Data Platform, allowing users to deep dive into HEAL research and related biomedical topics to identify studies, datasets, and variables that might be of interest to them through unexpected relationships.

With HEAL Semantic Search, users will be able to:

• Expand a search by looking at synonyms and related terms.
• Identify HEAL studies, variables, and Common Data Elements related to search terms and search results.
• Find studies relevant to their research and identify potential collaborators.
• Identify gaps in existing research to develop unique research questions.
• Dive deeper into studies and variables of interest on the HEAL Data Platform. 

Meet the HEAL Data Ecosystem Support Teams

HEAL Data Stewardship Group

• The  (HEAL Stewards) includes members from the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill and RTI International. The HEAL Stewards support HEAL investigators with data management, data sharing, data standards, data analysis, repository selection, HEAL Data Platform registration, and more.
• Visit the  for more information about selecting repositories, documenting metadata, sharing sensitive data, the Fresh FAIR webinar series, FAQs, and HEAL Semantic Search
• Schedule a meeting or contact the HEAL Stewards to discuss your data management needs by submitting a  form request.

HEAL Data Platform Team

• The team includes experts from the University of Chicago. The team develops and maintains the secure, cloud-based platform where HEAL-funded study data can be curated, shared, and analyzed. The data platform team aids with metadata submission, and access to collaborative cloud workspaces. To connect, email heal-support@gen3.org.