Goal: To develop a set of tools to import and export NDA instruments into and from REDCap.
Impact: Ease of data aggregation and submission by scientists.
Participants: Mathias Goncalves (MIT), Anne Park (MIT), Hauke Bartsch (UCSD)
Deliverables: A set of scripts to convert NDA assays into REDCap forms.
Future development and maintenance: It will be used by the parent project and will be maintained online in a GitHub repo, also containing public versions of assays.
The NDA team are proposing some participants for each issue along with a list of available resources (internal and external), and possible limitations / needs.
Typically NDA structures include a time component (visit, day, week, month, etc.) or other categorical variable
NDA normalizes to creates one record per timepoint/category
REDCap (and others?) sometimes produce completely denormalized data (one variable per question:timepoint/category).
Does functionality already exists in REDcap for exporting a measure, adding a time component, and collapsing the structure?
Beyond simple conversion of instruments (dictionaries), can we reformat the actual data according to the transformation (see above regarding time series data). This will be extremely helpful if researchers want push/pull data between platforms.
What about other databases beyond REDcap (i.e., i2b2, OpenClinica)?
Most NDA supported labs don’t use REDCap so would it be better to develop a transformation tool instead?
It would be important to ensure valid value-ranges and conditional validation rules are preserved in either direction (we aren’t well-versed in REDCap).
Goal: To develop a set of tools to import and export NDA instruments into and from REDCap.
Impact: Ease of data aggregation and submission by scientists.
Participants: Mathias Goncalves (MIT), Anne Park (MIT), Hauke Bartsch (UCSD)
Deliverables: A set of scripts to convert NDA assays into REDCap forms.
Future development and maintenance: It will be used by the parent project and will be maintained online in a GitHub repo, also containing public versions of assays.