Webinars, Tutorials & Office Hours
NDA Webinars | NDA Tutorials | NDA Office Hours
You can now watch webinars on-demand. #1) New Grantee Orientation Webinar
#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. #3) Data Validation & Submission WebinarThis 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 WebinarThis 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.
#5) Populating your Data Expected List WebinarThis 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.
#6) QA Resubmission WebinarThis webinar discusses the NDA resubmission process for data uploads that were identified as having QA errors.
#7) Data Access WebinarNIMH 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. |
The following tutorials outline the NDA submission cycle tasks in sequence. #1) Creating an NDA AccountThis tutorial outlines the steps on how to create an NDA Account. #2) First Steps of Data SubmissionThis tutorial outlines the steps required prior to submitting data to NDA. #3) Completing your Data Expected ListThe 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 DataThis 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 ToolThis 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 StudyFor 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 DataLearn 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 CloudLearn 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 StudyFor 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. |
On Demand Office HoursLooking for help on the NDA Data Submission or the QA resubmission processes? Check out our on-demand Office Hours, available anytime at your convenience! Our Data Submission Office Hours Webinar covers the entire submission process, including Data Structure approval, Required vs. Recommended Data Elements, and Submission Exemptions. Related resources: The QA Resubmission Office Hours Webinar offers valuable guidance on how to correct and resubmit data with QA errors. Related resources: Don't miss out on these informative sessions. Live Q&A on NDADo you have additional questions about data submission or data access after watching our webinars? Would you like more information about NDA? If so, please drop into one of our scheduled Q&A sessions. Whether you’re new to NDA or a seasoned NDA user, our experts are here to help.
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