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This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

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Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR" when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects.

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access. Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA). Without access, you will not be able to obtain individual-level data.

Once you have selected data of interest you can:

  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release.
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected. Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the filter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

Please Note:

  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time.
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures.
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • What is a Filter Cart?
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.
  • What do I do after filters are added to the Filter Cart?
    After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned. Adding multiple filters to the cart, regardless of type, will AND the result of each filter. If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in BOTH 1 AND 2.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Glossary

  • Workspace
    The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace.
  • Filter Cart
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user through querying or browsing as being of some potential interest. The Filter Cart adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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Actigraphs

92 Shared Subjects

N/A
Clinical Assessments
Activity
01/25/2019
actigraph01
11/20/2023
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01
Definition
Submission Template
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
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 subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
session Integer Recommended Session
Query visit String 60 Recommended Visit name
baseline1_lf Float Recommended Left foot actigraph proportional integrating measure (PIM) beginning of session baseline painting task
baseline1_nh Float Recommended Nondominant hand actigraph proportional integrating measure (PIM) beginning of session baseline painting task
baseline1_rf Float Recommended Right foot actigraph proportional integrating measure (PIM) beginning of session baseline painting task
baseline2_lf Float Recommended Left foot actigraph proportional integrating measure (PIM) end of session baseline painting task
baseline2_nh Float Recommended Nondominant hand actigraph proportional integrating measure (PIM) end of session baseline painting task
baseline2_rf Float Recommended Right foot actigraph proportional integrating measure (PIM) end of session baseline painting task
phwm_lf Float Recommended Left foot actigraph proportional integrating measure (PIM) phonological working memory task
phwm_nh Float Recommended Nondominant hand actigraph proportional integrating measure (PIM) phonological working memory task
phwm_rf Float Recommended Right foot actigraph proportional integrating measure (PIM) phonological working memory task
vswm_lf Float Recommended Left foot actigraph proportional integrating measure (PIM) visuospatial working memory task
vswm_nh Float Recommended Nondominant hand actigraph proportional integrating measure (PIM) visuospatial working memory task
vswm_rf Float Recommended Right foot actigraph proportional integrating measure (PIM) visuospatial working memory task
day_week_number Integer Recommended Day of week for which data was collected 1::7 1=Monday; 2=Tuesday; 3=Wednesday; 4=Thursday; 5=Friday; 6=Saturday; 7=Sunday
kcals Float Recommended Total count of energy expenditure in kcal this day
average_hourly_kcals Float Recommended Average of energy expenditure in kcal this day
light Integer Recommended Somatic Numerical Rating Scale (Ulirsch): Light Sensitive (30 days) 0 :: 10; -5; -7; -8 0=No problem; 1=1; 2=2; 3=3; 4=4; 5=5; 6=6; 7=7; 8=8; 9=9; 10=A major problem; -8=DON'T KNOW; -7=REFUSED; -5=Missing (Question presented)
moderate Float Recommended Number of Kcals in Moderate activity
vigorous Float Recommended Number of Kcals in Vigorous activity
per_light Float Recommended Percent of activity considered light
per_moderate Float Recommended Percent of activity considered Moderate
per_vigorous Float Recommended Percent of activity considered Vigorous
steps_count Integer Recommended Number of steps per day
steps_average_counts Float Recommended Average number of steps per day
steps_max_counts Integer Recommended Max number of steps per day
steps_per_minute Integer Recommended number of steps per minute
weartimeperc Float Recommended Weekly wear time percentage
weekpart String 10 Recommended Part of week WD= Weekday; WE= Weekend
am_misscode Integer Recommended AM diary misscode 0 :: 100
pm_misscode Integer Recommended PM diary misscode 0 :: 100
ac_misscode Integer Recommended Actigraphy misscode 0 :: 100
inbed_d String 10 Recommended Diary got in bed time time
dec_inbed_d Float Recommended Diary got in bed time - decimal 0 :: 100
liteout_d String 10 Recommended Diary lights out time
dec_lo_d Float Recommended Diary lights out time - decimal 0 :: 100
sol_d Integer Recommended Diary sleep latency time 0 :: 100
dec_sol_d Float Recommended Diary sleep latency time - decimal 0 :: 100
son_d String 10 Recommended Diary sleep onset time
dec_son_d Float Recommended Diary sleep onset time - decimal 0 :: 100
waso_d Integer Recommended Diary wakefulness after sleep onset time 0 :: 100
dec_waso_d Float Recommended Diary wakefulness after sleep onset time - decimal 0 :: 100
midlsp_d String 10 Recommended Diary sleep midpoint
dec_midslp_d Float Recommended Diary sleep midpoint - decimal 0 :: 100
soff_d String 10 Recommended Diary sleep offset
dec_soff_d Float Recommended Diary sleep offset - decimal 0 :: 100
outbed_d String 10 Recommended Diary got out of bed time time
dec_outbed_d Float Recommended Diary got out of bed time - decimal 0 :: 100
stdydesc String 20 Recommended Day of data collection within timepoint
tib_d Integer Recommended Diary time in bed (lights out to sleep offset) 0 :: 100
tst_d Integer Recommended Diary total sleep time 0 :: 100
se_d Integer Recommended Diary sleep efficiency 0 :: 100
se_so_d Integer Recommended Diary sleep efficiency with respect to sleep onset (aka sleep maintenance %) 0 :: 100
awakenings Integer Recommended Diary number of awakenings 0 :: 100
breakfast_time String 10 Recommended Breakfast time
dec_breakfast Float Recommended Decimal breakfast time 0 :: 100
lunch_time String 10 Recommended Lunch time
dec_lunch Float Recommended Decimal lunch time 0 :: 100
dinner_time String 10 Recommended Dinner time
amdate String 20 Recommended Date AM diary was completed
dec_dinner Float Recommended Decimal dinner time 0 :: 100
med1_name String 50 Recommended Medication 1 name
dec_med1time Float Recommended Decimal medication 1 time 0 :: 100
med1_dosage String 20 Recommended Medication 1 dose
med2_name String 50 Recommended Medication 2 name
dec_med2time Float Recommended Decimal medication 2 time 0 :: 100
med2_dosage String 20 Recommended Medication 2 dose
med3_name String 50 Recommended Medication 3 name
dec_med3time Float Recommended Decimal medication 3 time 0 :: 100
med3_dosage String 20 Recommended Medication 3 dose
pmdate String 20 Recommended Date PM diary was completed
med4_name String 50 Recommended Medication 4 name
dec_med4time Float Recommended Decimal medication 4 time 0 :: 100
med4_dosage String 20 Recommended Medication 4 dose
med_adtlcomments String 1,000 Recommended Medication comments
otherdrug_today String 10 Recommended Used other drug today
otherdrug_specify String 50 Recommended Specify other drug
dec_ex1start Float Recommended Decimal exercise 1 start time 0 :: 100
dec_ex1end Float Recommended Decimal exercise 1 end time 0 :: 100
exercise1_type String 10 Recommended Exercise 1 type
dec_ex2start Float Recommended Decimal exercise 2 start time 0 :: 100
acmorningdate String 10 Recommended Morning actigraphy date time
dec_ex2end Float Recommended Decimal exercise 2 end time 0 :: 100
workorschool String 10 Recommended Work/school day
other_adjustment_reason String 1,000 Recommended Reason for schedule adjustment
dec_nap1start Float Recommended Decimal nap 1 start time 0 :: 100
dec_nap1end Float Recommended Decimal nap 1 end time 0 :: 100
dec_nap2start Float Recommended Decimal nap 2 start time 0 :: 100
dec_nap2end Float Recommended Decimal nap 2 end time 0 :: 100
dec_nap3start Float Recommended Decimal nap 3 start time 0 :: 100
dec_nap3end Float Recommended Decimal nap 3 end time 0 :: 100
dec_nap4start Float Recommended Decimal nap 4 start time 0 :: 100
prevdate String 10 Recommended Previous night date
dec_nap4end Float Recommended Decimal nap 4 end time 0 :: 100
in_bed_ac String 20 Recommended Actigraphy in bed time
out_bed_ac String 20 Recommended Actigraphy out of bed time
so_time_ac String 20 Recommended Actigraphy sleep onset time
totalcounts_ac Integer Recommended Actigraphy total counts 0 :: 1000000
awakenings_ac Integer Recommended Actigraphy number of awakenings 0 :: 1000
avgawakelen_ac Integer Recommended Actigraphy length if awakening 0 :: 1000
moveidx_ac Integer Recommended Actigraphy movement index 0 :: 1000
fragindx_ac Integer Recommended Actigraphy fragmentation index 0 :: 1000
slpfrag_ac Integer Recommended Actigraphy sleep fragmentation 0 :: 1000
prevdow Integer Recommended Previous night day of week code 0 :: 100
d_inbed_ac Float Recommended Actigraphy in bed time - decimal 0 :: 1000
d_outbed_ac Float Recommended Actigraphy out of bed time - decimal 0 :: 1000
d_son_ac Float Recommended Actigraphy sleep onset time - decimal 0 :: 1000
d_midslp_ac Float Recommended Actigraphy sleep midpoint - decimal 0 :: 1000
midslp_ac String 20 Recommended Actigraphy sleep midpoint
waso_ac Integer Recommended Actigraphy wakefulness after sleep onset in minutes 0 :: 1000
d_waso_ac Integer Recommended Actigraphy wakefulness after sleep onset in hours 0 :: 1000
tib_ac Integer Recommended Actigraphy time in bed - minutes 0 :: 1000
d_tib_ac Integer Recommended Actigraphy time in bed - hours 0 :: 1000
tib_so_ac Integer Recommended Actigraphy time in bed with respect to sleep onset - minutes 0 :: 1000
prevdow_name String 10 Recommended Previous night day of week name
d_tib_so_ac Integer Recommended Actigraphy time in bed with respect to sleep onset - hours 0 :: 1000
tst_ac Integer Recommended Actigraphy total sleep time in minutes 0 :: 1000
d_tst_ac Integer Recommended Actigraphy total sleep time in hours 0 :: 1000
se_so_ac Integer Recommended Actigraphy sleep efficiency with respect to sleep onset 0 :: 1000
d_outbed_biphasic_ac Integer Recommended Actigraphy time awake in between bi-phasic sleep intervals 0 :: 1000
vvig_time Integer Recommended Length of time in Very Vigorous in minutes In minutes
laten Integer Recommended Time it takes subject to go from being fully awake to sleeping in minutes In minutes
effic Integer Recommended The time subject is actually asleep during the time spent trying to sleep in minutes In minutes
tst Integer Recommended Sum of all REM and NREM episodes duration in minutes In minutes
we_t_strt String 15 Recommended The start of a wear time HH:MM:SS AM/PM
we_t_end String 15 Recommended The end of a wear time HH:MM:SS AM/PM
epoc Integer Recommended Epoch length in seconds In seconds
sedbout_num Integer Recommended Number of Sedentary Bouts starting in a period of time
sedbout_a_time Float Recommended Average length of time (in minutes) of sedentary bouts during a period of time In minutes
sed_time Integer Recommended Length of time in Sedentary in minutes In minutes
lght_time Integer Recommended Length of time in Light in minutes In minutes
mod_time Integer Recommended Length of time in Moderate in minutes In minutes
vig_time Integer Recommended Length of time in Vigorous in minutes In minutes
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.