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Carolina Mendoza-Puccini, MD

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1 Carolina Mendoza-Puccini, MD
Common Data Elements In a Nutshell Carolina Mendoza-Puccini, MD Robin Conwit, MD NINDS

2 NINDS CDE Project What is the CDE Project?
NINDS initiated the development of Common Data Elements (CDEs) as part of a project to develop data standards for clinical research in neuroscience. The CDEs are content standards that can be applied to various data collection models and are intended to be dynamic and may evolve over time. CDEs are not a database. The CDE project was started about 10 years ago in an effort to develop data standards. The CDEs are metadata and are not a clinical database; they are all available free of charge for use on a NINDS website. These data elements are dynamic and may evolve over time. There are specific guidelines and procedures for modifying or updating the CDEs and CRFs established by NIH.

3 Goals of the CDE Project
Develop common definitions and standardize case report forms (CRFs) and other instruments Help investigators conduct clinical research through the development of these uniform formats by which clinical data can be systematically collected, analyzed and shared across the research community

4 CDEs and NINDS grants NIH-funded and other research studies use CDEs or are CDE- compatible FOA: PAR (for NINDS Phase III /U01 Clinical Trials–CDEs Required) All clinical research studies should use CDEs Clinical research projects will be accelerated New investigators can build on consensus data elements Start-up of multi-center and international clinical research efforts will be streamlined

5 Definitions Data Element: Information that describes a piece of data to be collected in a study* Common Data Element (CDE): A data element that is common to multiple data sets across different studies* A CDE includes a name, precise definition, and semantic value with clear definitions and permissible values A CDE is consistent and harmonized across different datasets *National Library of Medicine Related Terms Data Standard - Agreed upon set of rules that allow information to be shared and processed in a uniform and consistent manner. This includes representations, formats, and definitions of data. Some CDEs have been mapped to existing data standards and vocabularies such as those listed in the Health Information Technology and Health Data Standards at NLM. Vocabulary - A database of concepts with their corresponding definitions and codes that may include relationships between concepts.

6 NINDS CDE Terminology : Classification
General Core: required for all NINDS-funded studies Disease Core: required information applicable to any disease-specific study Supplemental–Highly Recommended: essential information for specified conditions, study types, or designs Supplemental: recommended but not required– use depends upon study design, protocol, or type of research Exploratory: under development or not yet validated

7 Current NINDS CDEs Over 20 Disease Areas, 18,000 CDEs & 1400 Instruments * Include Pediatric-specific recommendations

8 CDE Development: Process
CDEs are identified, developed, and vetted by experts in the scientific community Collaborative involvement with other NIH institutes and federal agencies such as the National Library of Medicine, CDC, DoD Alignment with International Data Standards (ISO), Clinical Data Interchange Consortium (CDISC), whenever possible Insight from patient advocacy groups and industry NINDS provides continuous guidance, review, oversight, and updates A team of experts in the scientific community called a “CDE Working Group” is formed to identify and develop CDEs. From the first working group meeting, it typically takes approximately 12 to 18 months to identify and develop final recommendations. These draft recommendations are vetted by the entire working group before they are released for public review. After public review, the version 1.0 CDE standards are created and disseminated to the public via the website.

9 CDE Development: Timeline
Development Step Typical Timeframe NINDS identifies Working Group (WG) members and WG Chair(s) 2 - 4 weeks NINDS works with Chair(s) to divide WG into subgroups and to nominate subgroup Chair(s) Introductory meeting of WG at national conference or via web conference 1-2 hours Subgroups meet every weeks via conference call to develop CDEs for assigned areas 6 - 9 months NINDS Review of all subgroups’ CDEs 1 month Subgroups revise CDEs based on feedback from NINDS review 1 - 2 months Public Review of WG’s CDEs weeks Subgroups review CDEs based on feedback from Public Review Post version 1.0 of CDEs on the website Total months

10 Potential Benefits of CDEs
Reduce time/cost to develop data collection tools Increased efficiency not creating new Case Report Forms. Create a CRF in the CDE website and download into word, PDF or CSV. Reduce study start-up time and cost of overall trial Reduce time creating e-CRFS. Data dictionaries can be downloaded at the CDE website and uploaded into the electronic data collection system. Improve data quality/ Facilitate data collection Uniform data collected in a standardized manner across the studies. NINDS/NIH-compliant.

11 Potential Benefits of CDEs
Facilitate data sharing/comparisons between studies and meta-analyses Datasets will have the same variable names, harmonization will be easier and will increase the opportunities of establishing collaboration among different labs/study teams Improve opportunities for validation of exploratory elements/instruments Validation of these elements/instruments to be used in future clinical trials (Clinical Trials Readiness?) Increase CDE awareness in the neuroscience community Publications, presentations and other ways to disseminate the usability of the CDEs in neuroscience studies

12 Accessing the NINDS CDEs
NINDS CDE Website Contact NINDS CDE project team


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