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ICTR Data Manager Interest Group Meeting April 15, 2011

ICTR Data Manager Interest Group Meeting April 15, 2011. Results from Data Manager’s Survey Kerry Stewart, Ed.D ., FAHA, FAACVPR, FACSM, FSGC Professor, Medicine and Director, Clinical and Research Exercise Physiology Sharon Ghazarian, Ph.D.

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ICTR Data Manager Interest Group Meeting April 15, 2011

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  1. ICTR Data Manager Interest Group MeetingApril 15, 2011 Results from Data Manager’s Survey Kerry Stewart, Ed.D., FAHA, FAACVPR, FACSM, FSGC Professor, Medicine and Director, Clinical and Research Exercise Physiology Sharon Ghazarian, Ph.D. Director, Bayview Biostatistics, Epidemiology and Data Management (BEAD) Core

  2. Understanding your job may include more than one responsibility, what percent of your time do you spend as:

  3. How long have you worked in data management?

  4. How many databases have you been responsible for creating?

  5. How many databases are you currently responsible for managing?

  6. How many protocols do you currently support?

  7. How many principal investigators do you currently work with?

  8. What is your job title? • Assistant/Associate/Full Professor • Clinical research coordinator • Research data coordinator • Research program manager • Protocol operations manager • Research data analyst • Associate scientist • Biostatistician • Epidemiologist • Software engineer • Research assistant • Research nurse • Programmer analyst • Sr. research specialist • Project coordinator • Instructor • Information systems manager

  9. What training have you received for your current position? Other responses: Conferences Self-taught Online courses Microsoft training courses

  10. How long have you been working at Johns Hopkins?

  11. Do you see yourself still working in database management in 5 years? • Variation within responses • Research nurses, medical students largely report that database work is a small percentage of job duties

  12. Skills being used • Predominance of data entry • Limited programming • Use of database software packages varies widely. We did not ask about being used exclusively • Prominent use of Excel (90% reported use) • MS Access primary database (70% reported use) • Data also being stored in statistical packages(80%)

  13. What software do you use in your work as a database manager?

  14. Are you responsible for the physical hardware that maintains your research databases? • Comments: support by GCRC, IT Dept, outside vendors • Among all, we need to learn more about: • Data security • Privacy • Backup • Theft

  15. Do you integrate data from external sources directly into the databases you manage? • Potential barriers to integrating from external sources? • Is this a service that would be useful?

  16. Do you have anyone within Johns Hopkins to get consults or advice from when you have a question related to database management?

  17. How satisfied are you with your ability to get consults or advice when you have a question related to database management? • Comments: • There is no place where experts for data are available. I create my own relationships • User group would be very helpful for the projects I work on. • Not a good system in place to seek advice. • There is no official process – you have to be proactive on your own. • I feel for what data managers are expected to do, there is no training.

  18. Where did you go for assistance the last time you had a question or problem in database management?

  19. Would you be interested in participating in a database users group?

  20. What do you feel a database users group can do for you? • Hear how others within JHU get the job done • Strengthen my skill set • Share solutions • Connect me with data managers within the institution • Provide another outlet to seek and learn information • To have a resource to network with and a place to post questions • To identify common problems and try to solve them • Share information on up-to-date technology • Learn how to be a better database manager

  21. What do you want to learn as a database manager? • Network storage and server support • Alternative ways to present data (graphs) • Streamline data updating process from JHU repositories • Common pitfalls and new technologies • JHU rules regarding data management and IRB • Effective ways to share data • SQL; REDCap • Ways to extract information from EPR in a more efficient manner

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