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) NIMH Data Archive (NDA) Data Submission OH Webinar

This webinar outlines the general data submission process from determining what data to submit through validation and upload. Topics included are: cumulative vs. non-cumulative data, Data Structure approval, Submission Templates, required vs. recommended Data Elements, GUID and pseudoGUIDs, mandatory Data Structures, Submission Exemptions, and an overview of the Validation and Upload Tool.

Download the accompanying slide deck if you wish to follow the webinar presentation.

#5) Populating your Data Expected List Webinar

This instructional webinar is for researchers who have submitted their Data Submission Agreement (DSA) and are ready to populate their Data Expected list with Data Structures (e.g., measures, surveys, assessments) used for their study's data collection. The webinar covers searching for Data Structures, adding Structures to the Data Expected list, requesting changes to existing Structures, and creating entirely new Data Structures for their Data Expected list.

Download the accompanying slide deck if you wish to follow the webinar presentation.

#6) QA Resubmission Webinar

This webinar discusses the NDA resubmission process for data uploads that were identified as having QA errors.

Download the accompanying slide deck if you wish to follow the webinar presentation.

#7) 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

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

#1) Creating an NDA Account

This tutorial outlines the steps on how to create an NDA Account.

#2) First Steps of Data Submission

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

#3) 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.

#4) 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.

#5) 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.

#6) 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.