The INSIGHT Data Dictionary provides a detailed look at the data elements in INSIGHT’s Central Repository, including their format and content.
Data Governance
Pertaining to the process and defining roles for the management, availability, usability, integrity, and security of data for use in PCOR
Data Sharing Agreement
The Data Sharing Agreement (DSA) is an approved PCORnet template for use by research institutions to speed prep-to-research queries. The DSA defines the standard terms to which the Coordinating Center for PCORnet® will adhere when data are sent from the Network Partners to the Coordinating Center. The DSA also contains a template showing the flow of data through the queries.
Data Science Analyst Training
The PEDSnet Data Science Analyst course provides training on the structure and use of the PEDSnet CDM for research and approaches to study-specific data quality assessment.
HERO Data Dictionary
Use this resource to review information, content, format, and structure of the HERO (Healthcare Worker Exposure Response & Outcomes) Research database and the relationship between its elements.
Daquery
The PaTH Clinical Research Network (CRN) Department of Bio-Medical Informatics team developed Daquery a tool used to deploy code, as well as to automate and archive network-wide Quality Assurance queries. The code is publicly available and may be useful to support other CRNs data processes.
PCORnet Common Data Model
The PCORnet Common Data Model, developed by the PCORnet community, standardizes millions of data points from the Network’s diverse clinical information systems into a common format. As a result, users of PCORnet can ask the same question simultaneously to hundreds of disparate systems and receive a clear, reliable answer.
PaTH: How EHR Data is Collected and Protected via a Chocolate-Making Analogy
The PaTH Clinical Research Network (CRN) developed this guide to explain how electronic health record (EHR) data is captured, protected, and utilized for research purposes via a chocolate-making analogy.
PaTH to Health: Diabetes, Chocolate Making & Data Extraction Video
This video on electronic health data utilizes the metaphor of making chocolate to clearly lay out how electronic health records can be used to anonymize data. It is a useful tool for clearly explaining EHRs and the privacy inherent in building a research network.