NDA Webinars

You can now watch webinars on-demand.

#1) New Grantee Orientation Webinar

New Grantee Orientation webinars are geared toward researchers new to NDA data sharing and will cover the entire data submission and sharing process. Researchers and data managers at any stage of data sharing are welcome to attend.

A special emphasis will be placed on tasks to be addressed immediately after the grant award to help researchers get organized in preparation for data collection and sharing.

Topics to be covered include, but are not limited to NDA Permission Groups, NDA Collections, Consent Language, GUIDs, Data Expected lists, Submission & Sharing Cycles, NDA Data Dictionary, Automated Communications, and resources for help.

#2) Data Harmonization Webinar

Data Harmonization training webinars are strongly suggested for first-time submitters as well as those who would like a refresher to teach users how to prepare to submit data.

Starting early in the preparation process saves time, makes data submission easier, and allows time if you need assistance. The webinars will include the full submission process from the initial paperwork to the successful upload.

#3) Data Validation & Submission Webinar

This webinar is offered around the two submission cycles (Jan 15th and July 15th) to help prepare users involved in submitting data to understand the process of validation, error handling, submission, and post-submission Quality Assurance and Quality Control (QA/QC).

#4) Data Access Webinar

NIMH Data Archive (NDA) Data Access webinars will cover full data access functionality to instruct users on how to access data. Jupyter Notebooks will be used to illustrate the topics with informational slides and sample code.

NDA Tutorials

Visit our available tutorials on contributing and getting data.

Tutorials on Contributing Data

The following tutorials outline the NDA submission cycle tasks in sequence.

#1) First Steps of Data Submission

This tutorial outlines the steps required prior to submitting data to NDA.

#2) Completing your Data Expected List

The Data Expected List is a list of your data collection entities. Each entry in the Data Expected List must correspond to one or more NDA Data Structures. You must provide information about how many subjects will have data collected against each item in the list (Targeted Enrollment), as well as information about initial submission and share dates.

#3) Preparing and Submitting Data

This tutorial is intended for researchers who have completed their Data Expected List and are ready to start preparing and formatting their data using NDA Data Structures to submit in their NDA Collections.

#4) Using the Validation and Upload Tool

This set of video tutorials demonstrates how to use the NDA Validation and Upload Tool to verify your data are consistent with your Data Dictionary structures and how to upload them to the NDA. Alternately, data can be validated through a python package and command-line client that was developed to allow users to programmatically validate, package, submit, and/or download data.

#5) Creating an NDA Study

For those accessing data for secondary analysis or contributing their own data, an NDA Study should be created in anticipation of a publication or other result. This training will assist you in creating your Study.

Tutorials on Getting Data

#1) Accessing Shared Data

Learn how to request access to shared data, use NDA's query tools to find data of interest, and get the data through downloading or direct access in the cloud.

#2) Accessing Files in the Cloud

Learn how to use your NDA account to work with your own database in the cloud, or access rich data files directly in Amazon S3.

#3) Creating an NDA Study

For those accessing data for secondary analysis, an NDA Study should be created in anticipation of a publication or other result. This training will assist you in creating your Study.

NDA Office Hours

NDA hosts several types of Office Hours to support you through the NDA data submission process.