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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions

Glossary

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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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Acceptability and Engagement Form

9 Shared Subjects

N/A
Clinical Assessments
Satisfaction
05/30/2017
t4rp01
06/26/2017
View Change History
01
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.
sex String 20 Required Sex of the subject M;F M = Male; F = Female gender
version_form String 100 Required Form used/assessment name
t4rp_1 String 100 Recommended How did Texting 4 Relapse Prevention help you understand your illness better?
t4rp_2 String 100 Recommended How do you think Texting 4 Relapse Prevention helped you keep track of your symptoms better?
t4rp_3 String 100 Recommended How did the program affect your daily life?
t4rp_4 String 100 Recommended What parts of the program did you find most interesting or fun?
t4rp_5 String 100 Recommended What things can we change to make Texting 4 Relapse Prevention better in the future?
t4rp_6 String 100 Recommended What parts of Texting 4 Relapse Prevention were confusing or hard to use?
t4rp_7 String 100 Recommended What did you like best about Texting 4 Relapse Prevention?
t4rp_8 String 100 Recommended What did you like the least about Texting 4 Relapse Prevention?
t4rp_9 String 100 Recommended When, if ever, did you find it hard to read the messages?
t4rp_10 String 100 Recommended When, if ever, was hard to reply to the messages?
t4rp_11 String 100 Recommended As a provider, how did Texting 4 Relapse Prevention affect your clinical work?
t4rp_12 String 100 Recommended Did your patients give you any feedback about the program that you think would be helpful for us to know?
t4rp_13 String 100 Recommended What, if any, negative consequences did the intervention have for the patient?
t4rp_14 String 100 Recommended How can we improve Texting 4 Relapse Prevention?
t4rp_15 String 100 Recommended Lastly, if Texting 4 Relapse Prevention were rolled out in clinics in the area, how useful do you think it would be in improving clinical care?
Query t4rp_16 Integer Recommended P. I like the Texting 4 Relapse Prevention program. C. My patients liked the Texting 4 Relapse Prevention program. 1::5 1=strongly disagree; 5=strongly agree pas_a1
Query t4rp_17 Integer Recommended P. The suggestions the program sent me to help with my symptoms were useful for me. 1::5 1=strongly disagree; 5=strongly agree pas_a2
Query t4rp_18 Integer Recommended P. The text messages helped me notice when my symptoms were getting worse faster than I used to before I started the program; C. Texting 4 Relapse Prevention helped my patients better identify when their symptoms got worse earlier than they usually do. 1::5 1=strongly disagree; 5=strongly agree pas_a3
Query t4rp_19 Integer Recommended P. Texting 4 Relapse Prevention made it easier to contact my provider when my symptoms got worse; C. The automated system made it easier for me to quickly follow-up with my patients if needed. 1::5 1=strongly disagree; 5=strongly agree pas_a4
Query t4rp_20 Integer Recommended P. I found the text messages annoying. 1::5 1=strongly disagree; 5=strongly agree pas_a5
Query t4rp_21 Integer Recommended P. The text messages were easy to understand; C. My patients were sometimes confused by the program messages. 1::5 1=strongly disagree; 5=strongly agree pas_a6
Query t4rp_22 Integer Recommended P. The text messages that asked me to reply were easy to answer. 1::5 1=strongly disagree; 5=strongly agree pas_a7
Query t4rp_23 Integer Recommended P. The text messages were positive and helped me feel supported; C. The intervention helped my patients feel supported. 1::5 1=strongly disagree; 5=strongly agree pas_a8
Query t4rp_24 Integer Recommended P. Texting 4 Relapse Prevention got in the way of my daily activities. 1::5 1=strongly disagree; 5=strongly agree pas_a9
Query t4rp_25 Integer Recommended P. Texting 4 Relapse Prevention sent me too many text messages every day. 1::5 1=strongly disagree; 5=strongly agree pas_a10
Query t4rp_26 Integer Recommended P. If Texting for Relapse Prevention was offered again, I would sign up for it. 1::5 1=strongly disagree; 5=strongly agree pas_a11
Query t4rp_27 Integer Recommended P. I would recommend the Texting 4 Relapse Prevention program to other patients who have a similar illness as I do; C. I would recommend Texting 4 Relapse Prevention to other clinicians who have patients with schizophrenia or SAD. 1::5 1=strongly disagree; 5=strongly agree pas_a12
Query t4rp_28 Integer Recommended C. As a clinician, I liked the Texting 4 Relapse Prevention program. 1::5 1=strongly disagree; 5=strongly agree
Query t4rp_29 Integer Recommended C. I would be unlikely to use this intervention with my patients if it were made available in my clinic. 1::5 1=strongly disagree; 5=strongly agree
Query t4rp_30 Integer Recommended C. The automated system made it easier for me to monitor my patients. 1::5 1=strongly disagree; 5=strongly agree
Query t4rp_31 Integer Recommended C. The intervention helped my patients better monitor their own symptoms of schizophrenia or schizoaffective disorder. 1::5 1=strongly disagree; 5=strongly agree
Query t4rp_32 Integer Recommended C. The program didn't really help my patient's improve their coping skills related to symptom management. 1::5 1=strongly disagree; 5=strongly agree
Query t4rp_33 Integer Recommended Acceptability score 12::60 pat_acc_scale
Query t4rp_34 Integer Recommended (Patient estimate) How many messages did you receive from the Texting 4 Relapse Prevention program yesterday? pes1
Query t4rp_35 Integer Recommended (Patient estimate) How many messages did you send to the program yesterday? pes2
Query t4rp_36 Integer Recommended (Patient estimate) How many messages did you receive from the program in the last 7 days? Your best guess is fine. pes3
Query t4rp_37 Integer Recommended (Patient estimate) How many messages did you send to the program in the last 7 days? Your best guess is fine. pes4
Query t4rp_38 Integer Recommended (Patient estimate) In general, how often did you read the program messages in the past 7 days? 1::5 1=Never (0 messages in the past week); 2=Rarely (1-5 messages); 3=Sometimes (6-14 messages); 4=Often (15 - 27messages); 5=always (28 messages) pes5
Query t4rp_39 Integer Recommended (Program count) Messages sent previous day:
Query t4rp_40 Integer Recommended (Program count) Messages received previous day:
Query t4rp_41 Integer Recommended (Program count) Messages sent previous week (7 days):
Query t4rp_42 Integer Recommended (Program count) Messages received previous week (7 days):
t4rp_ydx String 10 Recommended years since psychiatric diagnosis
Query psych_hosp_total Integer Recommended Total number of psychiatric hospitalizations
t4rp_txt String 10 Recommended text messaging tenure
t4rp_cell String 10 Recommended length of time with current cell phone number
Query t4rp_sent Float Recommended average number of text messages sent each day
Query t4rp_rec Float Recommended average number of text messages received each day
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.