The following tutorials provide information for researchers to learn about the tools, vocabulary, and resources available within the N3C Data Enclave. For those users with a current N3C Data Enclave account, more detailed tutorials can be found within the internal Training Portal (Log in required). For additional support options, please visit the N3C Support Desk.


Optimizing Performance in the Enclave

Learn how best to optimize the performance of your analysis within the N3C Data Enclave. First, gain an overview of Spark, the Enclave's core distributed data processing framework, to gain a mental model of how the data is stored and best accessed. Then, learn about best practices and common issues associated with performance through a discussion, including examples, to demonstrate their impact.

Enclave Orientation Session B

This session is for analysts, statisticians, data scientists, or anyone who wants to gain a broader understanding of the tools needed to work with the data. Learning objectives: (1) Focus on technical aspects of working with data in the secure N3C Enclave, including use of OMOP concept sets and N3C-specific tooling, such as the Concept Set Browser; (2) Introduce commonly used analysis tools, such as Contour and Code Workbooks and corresponding workflows for simple analyses; (3) Introduce the Enclave Knowledge Store, a mechanism for sharing and using community developed code and data across projects. (Fully edited captions available by clicking on CC.)

Enclave Orientation Session A

This session is for those who want to learn about N3C, as well as how to engage with project teams and access the data. Learning objectives: (1) Provide a general overview of N3C, including goals, organization, and community resources such as Domain Teams and Data Liaisons; (2) Introduce the 3 data tiers available and important considerations for research driven by the data harmonization process; (3) Discuss resources for training and support and the process of the Data Use Request (DUR) required for researcher access. (Fully edited captions available by clicking on CC.)

N3C Hashing Demo

Learn about hashing and how it allows for privacy-preserving record linkage (PPRL) within the N3C Data Enclave. A demonstration of these linkages is presented using radiographic imaging and synthetic clinical data, along with a walkthrough of the types of insights, interfaces, and machine learning techniques you can use with the linked data.

Walk through the N3C Enclave Homepage

Tour the N3C Data Enclave Homepage and learn how to navigate to the data and existing projects within the secure repository.

N3C Data Enclave Introduction & Data Use Request (DUR) Process

Get a high-level introduction and overview of the N3C Data Enclave. Learn how to navigate the environment, get acquainted with its underlying organizational structure, view some of the analytical tools available, and see various support options to help you with your journey. The module also provides a brief tour to familiarize users with the data request and access process.

OMOP Vocabulary 201
Take a deeper dive into the OMOP Vocabulary and explore the OMOP common training model's uses in the N3C Data Enclave. This training video is part 2 of the OMOP series, which intends to familiarize users with the vocabulary knowledge they need to better navigate and perform analysis within the Enclave.
OMOP Vocabulary 101

Learn about OMOP and get acquainted with the common data model used in the N3C Data Enclave and its functionality. The training provides an overview using the Athena search function with concept and vocabulary IDs and other standards to facilitate search of the vocabularies and see relationships between other ontologies.

N3C Data Use Request (DUR) Process & Request for Appeal

Learn how to navigate the Data Use Request (DUR) interface in the N3C Data Enclave. View steps to create an appeal to the Data Access Committee's (DAC's) decision by amending initial information submitted to validate required criteria and/or strengthen the rationale for level of data requested.