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Paper Details

Integrating, Harmonizing, and Curating Studies With High-Frequency and Hourly Physiological Data: Proof of Concept from Seven Traumatic Brain Injury Data Sets.
J Neurotrauma
1
2023
Citicoline, EPO, Oxygen, Progesterone, Severe Traumatic Brain Injury, TBI, Traumatic Brain Injury, Traumatic brain Injury, common data elements, erythropoietin, patients, traumatic brain injury
Author NameAffiliation
Claudia S Robertsonand University of Washington
Nancy TemkinUniversity of Washington
Jason BarberHarborview Medical Center, University of Washington
Brandon ForemanUniversity of Cincinnati
Ramon Diaz-ArrastiaUniversity of Pennsylvania
Randall M ChesnutHarborview Medical Center, University of Washington
Geoffrey T ManleyUniversity of California, Emory University School of Medicine
Geoffrey T ManleyUniversity of California, Emory University School of Medicine
Mary J VassarUniversity of California, Emory University School of Medicine
Adam R FergusonUniversity of California, Emory University School of Medicine
Adam R FergusonUniversity of California, Emory University School of Medicine
Amy J MarkowitzUniversity of California, Emory University School of Medicine
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Datasets

Federal Interagency Traumatic Brain Injury Research Informatics SystemThe Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system was developed to share data across the entire TBI research field and to facilitate collaboration between laboratories, as well as interconnectivity with other informatics platforms. Sharing data, methodologies, and associated tools, rather than summaries or interpretations of this information, can accelerate research progress by allowing re-analysis of data, as well as re-aggregation, integration, and rigorous comparison with other data, tools, and methods. This community-wide sharing requires common data definitions and standards, as well as comprehensive and coherent informatics approaches.Link
Federal Interagency Traumatic Brain Injury Research Informatics SystemThe Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system was developed to share data across the entire TBI research field and to facilitate collaboration between laboratories, as well as interconnectivity with other informatics platforms. Sharing data, methodologies, and associated tools, rather than summaries or interpretations of this information, can accelerate research progress by allowing re-analysis of data, as well as re-aggregation, integration, and rigorous comparison with other data, tools, and methods. This community-wide sharing requires common data definitions and standards, as well as comprehensive and coherent informatics approaches.Link
Federal Interagency Traumatic Brain Injury Research Informatics SystemThe Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system was developed to share data across the entire TBI research field and to facilitate collaboration between laboratories, as well as interconnectivity with other informatics platforms. Sharing data, methodologies, and associated tools, rather than summaries or interpretations of this information, can accelerate research progress by allowing re-analysis of data, as well as re-aggregation, integration, and rigorous comparison with other data, tools, and methods. This community-wide sharing requires common data definitions and standards, as well as comprehensive and coherent informatics approaches.Link
Federal Interagency Traumatic Brain Injury Research Informatics SystemThe Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system was developed to share data across the entire TBI research field and to facilitate collaboration between laboratories, as well as interconnectivity with other informatics platforms. Sharing data, methodologies, and associated tools, rather than summaries or interpretations of this information, can accelerate research progress by allowing re-analysis of data, as well as re-aggregation, integration, and rigorous comparison with other data, tools, and methods. This community-wide sharing requires common data definitions and standards, as well as comprehensive and coherent informatics approaches.Link