FITBIR Data Submission Services
Many studies plan to submit their TBI study to FITBIR, but it is often something that doesn’t make it into the project plan.
QuesGen has developed a suite of tools used for cleaning data, creating the FITBIR forms, GUIDs and submitting the data into the FITBIR repository. If you have data that requires submission but would like to outsource the effort to clean and submit, we can do that for you.
Why use QuesGen for your data submission?
We have worked with the NIH FITBIR team since its inception and are familiar with the process for setting it up and submitting. There is a significant learning curve on the steps required to submit, we can do that for you.
Our tools save time and money. Since we have the mapping and extracting processes automated, we can complete your submission for much less that it would likely take for you to train one of your team members and complete the submission process.
How it works:
We evaluate the data that you have collected and come up with a mapping and submission strategy.
We provide you an estimate of the costs and timeframe required to submit the data.
We will sign a Business Associates Agreement (BAA) or Data Use Agreement (DUA) that will ensure that you understand that we will use your data only for the submission process.
You will share your data with us using a secure data submission process. All data submitted to FITBIR must be deidentified. We have tools that can remove all identifiers from the data so you can share your data exactly as collected.
Our data management team will load, clean, build the FITBIR mapping into the forms and common data elements and complete the submission.
We will share the confirmation with you and will purge any data provided based on your instructions.
What People Are Saying
MD, MPH, Stanford
MD, PhD Associate Professor, Department of Neurosurgery – University of Minnesota
Emeritus Professor of Neurosurgery at Antwerp University Hospital
Our complex study model required partnering with a company that could provide a data collection with a dedicated study-specific eCRF with stratum-specific workflows which QuesGen Systems was able to provide.
MD, Ph.D, Professor of Anesthesia at the University of Cambridge