Data Dictionaries via PIC-SURE API
The PIC-SURE API can be used to extract the data dictionary. This can be done regardless of authorization to access data and can be done with one, multiple, or all studies.
Descriptions of Fields in PIC-SURE Data Dictionary
Note that there are several types of studies available in PIC-SURE:
dbGaP format compliant: ingested by dbGaP in the dbGaP recommended format (https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/)
dbGaP ingested, but not format-compliant
Not ingested by dbGaP: are not format-compliant and do not have a study accession (phs number)
PIC-SURE Data Dictionary Fields
There are some fields included that may not be relevant. Some fields are generated during the PIC-SURE data curation process that are duplicates of other fields listed, as well as others that are stored specifically for internal use; these have been identified below.
values: An array of all unique values included for the variable.
studyId: ID associated with a study. For dbGaP-assosciated studies this is in the format phsxxxxxx. Non-dbGaP studies can be in other formats. The field is consistent with the DBGAP ACCESSION NUMBER in BDC Powered by Gen3.
dtId: ID associated with the table the variable is stored in within the study. For studies in dbGaP format, this is provided as “phtXXXXXXX”. Non-compliant studies can instead be names of the table or form, listed as "All Variables" if the variables were not grouped in a table or form.
varId: ID associated with the variable. For studies in dbGaP format, this is provided as “phvXXXXXXXX”. Non-compliant studies instead have a short text ID provided that can be a duplicate of the columnmeta_name field.
is_categorical: boolean True/False values that describe whether a variable is filtered in PIC-SURE as a set of discrete values (categorical).
is_continuous: boolean True/False values that describe whether a variable is filtered in PIC-SURE as a numerical range (continuous).
columnmeta_is_stigmatized - boolean True/False value that determines whether a variable is shown in Open PIC-SURE. A value of True means that the variable is not shown in Open PIC-SURE. For further information about stigmatizing variables, please refer to this documentation: https://github.com/hms-dbmi/biodata_catalyst_stigmatizing_variables/tree/main
columnmeta_name: A short text ID associated with a variable. These are often not human-readable as they are mostly derived from the column names in datasets. For non-compliant studies, this can be a duplicate of the varID field.
description: A text field with a human-readable description of the variable. When not provided by the study submitters, this field will be a duplicate of the columnmeta_name field.
HPDS_PATH: The concept path used to uniquely identify a variable when exported to users. For more information about concept paths and data organization, please refer to the Data Organization in BDC-PIC-SURE page.
derived_group_id: The table ID and version number, when applicable.
columnmeta_var_group_description: If provided by the study submitters, this field contains a long text description of variable groupings. Variables are not always grouped together in studies.
derived_variable_level_data: An array of additional information that is study- and variable-specific. An example would be units of measurement. This is only available for some of the studies.
data_hierarchy: A text field displaying a human-readable path that is used in the PIC-SURE user interface. This is only available for some of the studies.
columnmeta_data_type: Text field containing "categorical" or "continuous", based on the is_categorical and is_continuous fields.
derived_var_id: Variable ID with version number, when applicable.
derived_study_abv_name: Short text abbreviation used to refer to a study and shown in the PIC-SURE user interface.
derived_study_description: Description of the study, consistent with the “Full Name” field i BDC Powered by Gen3.
columnmeta_min: Field generated internally for use in the PIC-SURE user interface elements for specific studies. Describes the minimum associated with continuous variables.
columneta_max: Fields generated internally for use in the PIC-SURE user interface elements for specific studies. Describes the maximum associated with continuous variables.
hashed_var_id: Hashed variable ID for internal use.
The following are fields that are duplicated data:
columnmeta_hpds_path: duplicate of HPDS_PATH
columnmeta_var_id: duplicate of varId
derived_var_description: duplicate of description
derived_group_description: duplicate of columnmeta_var_group_description
columnmeta_description: duplicate of description
derived_study_id: duplicate of studyId
columnmeta_study_id: duplicate of studyId
is_stigmatized: duplicate of columnmeta_is_stigmatized
derived_var_name: duplicate of columnmeta_name
columnmeta_var_group_id: duplicate of dtId
columnmeta_HPDS_PATH: duplicate of HPDS_PATH
min, max: duplicates of columnmeta_min, columneta_max
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