Secondary Data Core
The Secondary Data Core brings together faculty and staff with a shared interest in use of existing data for scientific knowledge discovery to answer important questions in clinical practice, disease etiology and treatment, risk factors and predictive modeling, social determinants of health, learning health systems, health behavior and health equity. Expertise in our group spans multiple areas and provides a centralized hub for collaboration including connecting investigators with informative data sources and like-minded colleagues, genesis and formulation of research hypotheses, innovative data exploration and discovery, rigorous study design considerations, development of grant proposals, writing analytic plans and dissemination of study findings in an informative fashion.
The Secondary Data Core has many members and partners (see below) around Ohio State; both of which are comprised of faculty and staff with a wide array of areas of expertise.
The National Institutes of Health currently has more than 100 funding opportunities announcements including five notice of special interests and grants.gov currently has approximately 50 FOAs and NOSIs for secondary data analyses. If you would like to pursue one of these grants and would like the assistance of a statistician with experience utilizing secondary data, please email SecondaryDataCore@osumc.edu.
Please see below for a few examples:
Funding Opportunity Title: Maternal and Child Health Secondary Data Analysis Research (MCH SDAR)
Funding Opportunity Number: HRSA-22-096
Funding Opportunity Title: Career Pathways Secondary Data Analysis Grants
Funding Opportunity Number: HHS-2022-ACF-OPRE-PE-0080
Notice of Special Interest (NOSI): Maximizing the Scientific Value of Secondary Analyses of Existing Cohorts and Datasets in Order to Address Research Gaps and Foster Additional Opportunities in Aging Research
Notice Number: NOT-AG-21-020
Notice of Special Interest (NOSI): Notice of Special Interest in Research on the Health of Sexual and Gender Minority (SGM) Populations
Notice Number: NOT-MD-19-001
Administrative billing databases are very large, very complex databases which offer near limitless possibilities as it pertains to study questions. While they can have their shortcomings, the flexibility, size, scope and relatively limited availability of the data make them ideal candidates for most any study question.
Examples of Administrative Billing Databases
Speciality databases offer an immense amount variety in terms of study population, answerable questions, and vary in complexity from quite approachable to very complex. We will break them down according to study population and provide details of each one to help you decide which is most appropriate for your research question.
Cancer Databases
National Cancer Database (NCDB)
Surveillance, Epidemiology, and End Results (SEER)
Oncology Research Information Exchange Network (ORIEN)
Healthcare Cost and Utilization Project (HCUP) Databases
National (Nationwide) Inpatient Sample (NIS)
Kids’ Inpatient Database (KID)
Nationwide Emergency Department Sample (NEDS)
Nationwide Readmissions Database (NRD)
Surgery/Transplant Databases
Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP)
National Surgical Quality Improvement Program (NSQIP)
Society of Thoracic Surgeons (STS)
United Network for Organ Sharing (UNOS)
Women’s Health Databases
Black Women’s Health Study (BWHS)
Women’s Health Initiative (WHI)
Other Databases
Behavioral Risk Factor Surveillance System (BRFSS)
Framingham Heart Study (FHS)
Lifescale
National Birth Defects Prevention Study (NBDPS)
National Health and Nutrition Examination Survey (NHANES)
National Health Interview Survey (NHIS)
National Institute of Child Health and Human Development (NICHD)
The Tool Assisted Research Discovery Informatics Surveillance System (TARDISS)
2023 Secondary Data Core Symposium
May 19, 2023, 10 a.m. - 2:30 p.m.
“Improving Health Outcomes with Use of Secondary Data.”
The Secondary Data Core brings together faculty and staff with a shared interest in use of existing data for scientific knowledge discovery to answer important questions in clinical practice, disease etiology and treatment, risk factors and predictive modeling, social determinants of health, learning health systems, health behavior and health equity.
In conjunction with the Center for Clinical and Translation Science, we pool the collective experience of our statistical members and clinical partners to curate an educational experience for biostatisticians and clinicians interested in working with secondary data by providing examples of studies and grants utilizing this data and outlining the resources available through the Secondary Data Core.
The collective expertise of the Secondary Data Core extends to more than a dozen sources, including, but not limited to, MarketScan, Centers for Medicare and Medicaid Services (CMS), SEER-Medicare, National Cancer Database (NCDB) and National Surgical Quality Improvement Program (NSQIP). If attendees aren’t utilizing secondary data in their research, this symposium will provide the opportunity to meet with biostatisticians and clinical partners who can help provide some insight and shape a future study and/or grant idea leveraging secondary data core.
Information for the 2023 Secondary Data Core Symposium
Rethink, Reuse, Research
The Biostatistics, Epidemiology, and Research Design (BERD) program announces the Secondary Data Analysis (SDA) Seminar Series: Rethink, Reuse, Research. The goals of the seminar series are:
1. Education: To educate investigators about existing data and how that data can be used for research.
2. Collaboration: To partner with investigators interested in performing SDA and assist them in developing successful research proposals.
3. Promotion: To increase awareness and visibility of CCTS/BERD members and resources.
The series consists of one-hour seminars. Each seminar will focus on a particular data source and be led by BERD members who are familiar with the data.
Seminars will take place on the 3rd Thursday of every month, from 12:00 pm - 1:00 pm.
After attending the "Rethink, Reuse, Research: Secondary Analysis of Existing Data" series, participants should be able to:
- Recognize BERD members how they work as collaborative research partners.
- For each dataset discussed in the series:
- Understand the background and overview of the original study design.
- Identify the types of data contained in dataset.
- Describe examples of previous research using the data.
- Identify major limitations of practical issues in working with data that must be taken into consideration for research.
- Understand the process to access data and identify BERD member(s) to collaborate with for research.
See the Upcoming Secondary Data Symposium
If you have any questions please email Guy Brock .
SDA Videos
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Central Repository
Access the NIDDK Central Repository Video [link coming soon]
Women's Health Initiative (WHI)
Centers for Medicare & Medicaid Services (CMS)
National COVID Cohort Collaborative (N3C)
The National Patient-Centered Clinical Research Network (PCORnet) – PaTH Network
NCTN / NCORP Data Archive
Leadership
Madison Hyer, M.S.
Principal Biostatistician
Co-Director of Secondary Data Core
Mahmoud Abdel-Rasoul, M.S
Principal Biostatistician
Co-Director of Secondary Data Core
Mahmoud.Abdel-Rasoul@osumc.edu
Guy Brock, Ph.D.
Associate Professor
Faculty Advisor
Members
Yevgeniya Gokun, M.S.
Senior Biostatistician
Melica Nikahd, M.S.
Biostatistician I
Djhenne Dalmacy, M.S.
Biostatistician I
Christos Delikaris, Ph.D.
Data Analytics Specialist
Jack Chiang, Ph.D.
Research Scientist
Mohamed Elsaid, Ph.D.
Assistant Professor - Clinical
Partners
College of Nursing
Jessica Sherman, PhD Student
Comprehensive Cancer Center - The James
Alexander Yaney, MD
Chief Resident, Department of Radiation Oncology
Dayssy A. Diaz, MD, MS
Associate Professor, Department of Radiation Oncology
Experience using: NCDB and SEER
Eric Singer, MD
Urologic Oncologist, Clinical Professor, Chief of the Division of Urologic Oncology
Experience using: NCDB, NSQIP, NIS, SEER-Medicare, ORIEN
Samilia Obeng-Gyasi, MD, MPH
Associate Professor, Department of Surgical Oncology
Experience using: SEER, NCDB, MEPS and the Indiana Cancer Registry
Shang-Jui Wang, MD, PhD
Radiation Oncologist, Assistant Professor, Department of Radiation Oncology
Emergency Medicine
Henry Wang, MD, MPH, MS
Professor, Department Emergency Medicine
Experience using: NHAMCS, NEMSIS, NEDS, Vizient, and EMS speciality databases including RAC, ESO, & CARES
Health and Rehabilitation Sciences
Brittany Hand, PhD, OTR/L
Assistant Professor, School of Health and Rehabilitation Sciences
Experience using: MarketScan & CMS Standard Analytic Files
Christopher A. Taylor, PhD, RDN, LD, FAND
Professor, School of Health and Rehabilitation Sciences
Experience using: NHANES
Elanna Arhos, PT, DPT, PhD
Postdoctoral Research Fellow, Sports Medicine Research Institute
Internal Medicine
Dan Jonas, MD, MPH
Professor, Division of General Internal Medicine and Geriatrics, Director, Center for Evidence-based Practice
Kyle Stinehart, MD
Assistant Professor, Department of Internal Medicine
Mitchell Ramsey, MD
Professor, Division of Gastroenterology, Hepatology, and Nutrition
Experience using: NIS, NRD, NHANES, & MarketScan
Robert Cronin, MD, MS
Associate Professor, Division of General Internal Medicine
Experience using: EHR databases and the All of Us Research Program
Sarah MacEwan, PhD
Assistant Professor, Division of General Internal Medicine
Somashekar Krishna, MD, MPH
Professor, Department of Internal Medicine, Gastroenterology Hepatology and Nutrition
Experience using: HCUP databases such as NIS, NRD, and MarketScan
Nationwide Children's Hospital
Cynthia A Fontanella, PhD
Principal Investigator in the Center for Suicide Prevention, Nationwide Children's Hospital
Research Associate Professor of Psychiatry and Behavioral Health at The Ohio State University
Experience using: CMS data & MarketScan
Cynthia.Fontanella@nationwidechildrens.org
Bashar Shihabuddin, MD, MS
Emergency Medicine physician at Nationwide Children’s Hospital
Experience using: Pediatric Emergency Care Applied Research Network (PECARN)
Neurology
James Burke, MD
Professor, Neurology
Experience using: CMS
Pharmacy
Jenny Wei, PhD, MS
Associate Professor, Outcomes and Translational Sciences
Experience using: CMS
Psychiatry
Trent Hall, MD
Assistant Professor, Psychiatry and Behavioral Health
Surgery
Adrian Diaz, MD, MPH
Resident, Department of Surgery
Experience using: CMS Standard Analytic Files, SEER-Medicare, & NCDB
Andrew Young, MD
Assistant Professor, Department of Surgery, Division of Critical Care Trauma and Burn
Experience using: Trauma Registry, National Trauma Databank, Central Ohio Databank, and Pennsylvania Trauma Outcomes Study
Anna Schoenbrunner, MD
Resident, Department of Plastic Surgery
Experience using: MarketScan
Aslam Ejaz, MD
Assistant Professor, Department of Surgery, Division of Surgical Oncology
Experience using: CMS Standard Analytic Files, NCDB, and NSQIP
Peter Kneuertz, MD
Assistant Professor, Department of Surgery
Experience using: STS, NCDB, NSQIP, HCHAPS, James Cancer Registry, Texas Cancer Registry
Pranit N. Chotai, MD
Clinical Instructor, Division of Transplantation, Department of Surgery
Experience using: Scientific Registry of Transplant Recipients (SRTR) and American College of Surgeons – National Surgical Quality Improvement Program (ACS-NSQIP)