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 Resource
GPC Reusable Observable Study Environment (GROUSE)
GPC Reusable Observable Study Environment (GROUSE): GROUSE is a Greater Plains Collaborative (GPC) project (as well as name of the data enclave) to obtain health insurance claims from the Center for Medicare and Medicaid Services through the Research Data Assistance Center (ResDAC). GPC currently have 2011-2017 Medicare data and 2011-2012 Medicaid data from 9 states in the GPC.
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 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 to Health Just-In-Time Data Analysis Training Part 2
The PaTH Clinical Research Network (CRN) developed this training to understand the importance of statistical tests in explaining study data, to become familiar with some statistical language, such as p values and null hypotheses and to be able to state some outcomes we are examining in the PaTH to Health Diabetes Study.
PaTH to Health Just-In-Time Data Analysis Training Part 1
The PaTH Clinical Research Network (CRN) designed this training explaining the benefits and limitations of observational studies, common data issues and how to manage them via the PaTH to Health Diabetes Study.
Clinic Staff as a Unique Stakeholder Group in Patient-Centered Outcomes Research
Research Action for Health Network (REACHnet) and LPHI discuss the role of clinic staff in patient-centered outcomes research. Through a project funded by the PCORI Eugene Washington Engagement Award, LPHI implemented pragmatic research studies that resulted in a training workbook to help clinic staff better understand the research process.
Speaker: Daniele Farrisi
Presented: March 19, 2019
Pilot Linkage Project Process and Results
PCORnet CMS Linkage Pilot Team has released a white paper to help others learn more about how to use Medicare claims data to support studies. The pilot team developed a process for using Medicare claims data to supplement PCORnet data in pragmatic clinical trials such as the ADAPTABLE study, which compares the effectiveness of different daily aspirin dosing for heart attack and stroke prevention. The project team describes the processes and data flows used successfully in the pilot, as well as lessons learned and recommendations.