Preclinical Common Data Elements
Preclinical Traumatic Brain Injury Common Data Elements
Public Review Period: June 12th – August 21st, 2017
Preclinical TBI CDE PUBLIC REVIEW ZIP FILE 
Email comments to: PreclinicalCDE@nih.gov
The Traumatic Brain Injury (TBI) Preclinical Working Group brings together experts in preclinical TBI research from academia with the goal of developing TBI common data elements (CDEs) for preclinical research and guidance for CDE utilization. Here we provide materials for a public review of the results of this effort with the hope that you will inform the process, suggest changes, and/or provide further documentation.
The primary objective for developing preclinical CDEs is to produce a well-defined lexicon for describing and reporting how preclinical data are collected with the goal of enhancing rigor, reproducibility and transparency in study performance. The goal of CDE creation is not to standardize how outcomes are performed or collected, but rather to develop a tool to improve standardization of how experimental details and procedures are reported. As such, the working groups (WGs) were asked to determine the level of experimental detail that should be reported in order to improve inter-investigator data harmonization.
The TBI Preclinical Working Groups intended to address the challenge that, while well-validated and standardized animal models of TBI can enhance our understanding of disease and inform therapeutic development, many therapeutics that show promise in preclinical models fail to elicit predicted effects when tested clinically. These meetings explored the relationship between clinical phenotypes of TBI and animal model constructs, and discussed what constitutes a useful translation model system and common data elements for data standardization, particularly in the context of Research and Development decision making.
To develop the Preclinical Traumatic Brain Injury (Preclinical TBI) CDEs, the Preclinical TBI CDE Working Group divided into three sub-working groups to focus on identifying and defining data elements in the domains of:
- • SWG1 - General Health Affective Disturbance (Depression/Anxiety/Social Interaction)
- • SWG2 - Cognition and Motor (Learning/Memory/Sensory/Motor)
- • SWG3 – Large Animal Models (Behavior)
The Preclinical TBI CDE Working Group, the National Institute of Neurological Disorders and Stroke (NINDS) and the Department of Defense (DOD) CDE Team have released a draft version (Pre-release Version 0.1) of the Preclinical TBI CDE recommendations for Public Review.
Please Note: These recommendations are still in the process of being reviewed, updated, and edited by the Working Group during the public review period. Additional instruments and data will be posted with the final recommendations release in September 2017. We also understand that Preclinical TBI is a relatively new area of data harmonization, specially for large animal models and further clinical investigation is needed.
After the public review period, the Preclinical TBI CDE Working Group will review and revise the recommendations as needed. Version 1.0 of the Preclinical TBI CDE recommendations will be posted by September 2017. Again, please note that changes are still being incorporated and final documents for community use will not be available until September 2017.
The Pre-release Version 0.1 Preclinical TBI Public Review package consists of one zip file (PreclinicalCDE_v0.1_061217.zip) containing the following documents:
- Instructions
- Instructions on reviewing CDE's and submitting comments
- CDE Spreadsheet Guide
- Description for the CDE spreadsheet columns; please review columns A, B, C, E, F, G, H, I, J, K, L, M, O, P, Q, R
- Quick Start Guide
- Provides a reference for each of the tests/outcomes for the preclinical TBI common data elements (CDEs)
- Common Data Elements (CDE) sets for each test/instrument
- CDE sets are available as excel spreadsheets, which include the CDEs identified and defined by the Preclinical TBI Working Groups. The CDE sets can be used as the building blocks for study data collection forms
- Comments form spreadsheet
- Reviewers should use this spreadsheet to return comments to the working group (PreclinicalCDE@nih.gov)
It is anticipated that many of the CDEs will overlap across outcome measures and study types, which allows for comparisons and meta-analysis across studies. Consistency of the data elements and the CDE formats is maintained in order to ensure the ability to transfer critical medical information electronically from one center to another. This data harmonization also allows for continuity across different disease areas. The goals of the NINDS/DOD CDE initiative are to increase the efficiency and effectiveness of preclinical research studies and clinical treatment, increase data quality, facilitate data sharing, and help educate investigators who are new to TBI research.
Each CDE or instrument will be classified according to the definitions below once public review has been completed in September, 2017:
General Core: A data element that is vital to the reporting of all preclinical studies, regardless of disease category.
Disease Core: A data element that collects essential information applicable to any disease-specific study, including all therapeutic areas. The preclinical working groups assign the disease “Core” classification based on a consensus of best research practices from the literature. The disease Core CDEs are a small subset of the available CDEs, and it is anticipated that investigators will need to collect the disease Core CDEs on any type of study since they are vital to the reporting of all disease-specific studies.
Disease Supplemental - Highly Recommended: A data element which is essential based on certain conditions or experimental designs to test the outcome in a particular domain. In most cases, these are well-established experimental factors that are known to influence the measured outcome. These data elements are highly recommended for the specified disease condition, study type or design.
Disease Supplemental: A data element which is commonly collected in pre-clinical research studies. Use depends upon the study design, protocol or type of research involved. These are recommended, but not vital, for studies.
Disease Exploratory: A data element that requires further validation, but may fill current gaps in the CDEs and/or substitute for an existing CDE once validation is complete. Such data elements show great promise, but require further validation before they are ready for prime-time use. They are reasonable to use with the understanding of their limited validation.
Chairs and co-chairs were appointed to lead and the three individual pre-clinical TBI sub-working groups. The Working Group members actively developed the CDEs for their specific subgroups and also had an opportunity to review and comment on the recommendations of the other subgroups. The Preclinical TBI CDE Working Groups were supported by the NINDS/DOD CDE Team.
The rosters for the Preclinical TBI CDE subgroups are shown below:
SWG1 - General Health /Affective Disturbance (Depression/Anxiety/Social Interaction)
| Name | Affiliation |
|---|---|
| Adam Bachstetter, PhD | University of Kentucky |
| Chantelle Ferland-Beckham, PhD | Cohen Veterans Bioscience |
| Candace Floyd, PhD [Co-Chair] | University of Alabama at Birmingham |
| Aristea Galanopoulou, MD, PhD | Albert Einstein College of Medicine |
| Patricia Kabitzke, PhD | Cohen Veterans Bioscience |
| Michelle LaPlaca, PhD [Chair] | Biomedical Engineering Georgia Tech |
| Vance Lemmon, PhD | University of Miami Miller School of Medicine |
| Jonathan Lifshitz, PhD | University of Arizona |
| Helen Scharfman, PhD | Nathan S. Kline Institute for Psychiatric Research |
| Doug Smith, MD | University of Pennsylvania |
SWG2 - Cognition and Motor (Learning/Memory/Sensory/Motor)
| Name | Affiliation |
|---|---|
| Adam Bachstetter, PhD | University of Kentucky |
| Hulya Bayir, MD | University of Pittsburg Medical Center |
| Ed Dixon, PhD [Chair] | University of Pittsburg Medical Center |
| Adam Ferguson, PhD | University of California San Francisco |
| Stuart Friess, MD | Washington University in St.Louis |
| Aristea Galanopoulou, MD, PhD | Albert Einstein College of Medicine |
| Ed Hall, PhD [Co-Chair] | University of Kentucky |
| Neil Harris, PhD | University of California Los Angeles |
| Ramona Hicks, PhD | One Mind for Research |
| Patricia Kabitzke, PhD | Cohen Veterans Bioscience |
| Michelle LaPlaca, PhD | Biomedical Engineering Georgia Tech |
| Jonathan Lifshitz, PhD | University of Arizona |
| David Loane, PhD | University of Maryland Medical Center |
| Linda Noble, PhD | University of California San Francisco |
| Helen Scharfman, PhD | Nathan S. Kline Institute for Psychiatric Research |
SWG3 – Large Animal Models (Behavior)
| Name | Affliliation |
|---|---|
| Hasan Alam, MD [Chair] | University of Michigan |
| Candace Floyd, PhD | University of Alabama at Birmingham |
| Ed Hall, PhD | University of Kentucky |
| Ramona Hicks, PhD | One Mind |
| Lindsey Hulbert, PhD [Co-Chair] | Kansas State University |
| Victoria Johnson, MBChB, PhD | University of Pennsylvania |
| Susan Margulies, PhD | University of Pennsylvania |
| Vahagn Nikolian, MD | University of Michigan |
| Laila Zai, PhD | Applied Research Associates, Inc. |
NINDS/DOD/FITBIR
| Name | Affiliation |
|---|---|
| Pat Bellgowan, PhD | National Institute of Neurological Disorders and Stroke (NINDS) |
| Alicia Tammy Crowder, PhD | Department of Defense (DOD) |
| Nsini Umoh, PhD | Department of Defense (DOD) |
| Diana Cummings, PhD | National Institute of Neurological Disorders and Stroke (NINDS) |
| Carol Taylor-Burds, PhD | National Institute of Neurological Disorders and Stroke (NINDS) |
| Matt McAuliffe,PhD | Federal Interagency Traumatic Brain Injury Research (FITBIR) |
| Olga Vovk, PhD | Federal Interagency Traumatic Brain Injury Research (FITBIR) |
| Leonie Misquitta, PhD | Federal Interagency Traumatic Brain Injury Research (FITBIR) |
Note: Institutions for all individuals acknowledged in this section were those they belonged to when they joined the Committee.
Please contact PreclinicalCDE@nih.gov if you require further information or have any questions about the Common Data elements.
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