The Data Coordination Unit (DCU) housed in the Department of Biostatistics, Bioinformatics andEpidemiology at MUSC will be the Statistical and Data Coordinating Center (SDCC) for this trial and will handledata management and statistical analyses. The DCU has established a steadfast infrastructure for web-baseddata capture and data sharing, including designated web servers and supporting database servers. Userfriendlyweb-based database systems have been developed, validated and used by DCU and clinical centersfor on-line subject registration, data entry, data validation, project progress monitoring, user customizablereport generation, lab specimen tracking, and secure data transfer. The web-based data capturing systemallows for study data to be directly entered into the database via a secure internet connection. Secure SocketLayer (SSL) is used for data encryption. The web system combines all study tools into one system whichincludes study database, online training and help desk, subject calendar, electronic data clarification request(OCR) process, case report form (CRF) and participate tracking system, audit trail, and report generationmechanisms. These reporting mechanisms are useful for study specific safety reports as well as study metricsincluding subject enrollment reports, data timeliness reports and data quality reports. The reportingmechanism allows authorized users to access real-time data that has been entered into the system andvalidated (via computerized rule checks). Authorized users can retrieve enrollment status, basic demographicsand data summaries such as number of visits completed, number of resolved queries and outstanding queries.In addition to the password protected study data collection website (WebDCU ), the SDCC and CCC willdevelop a public access informational website available to the community to obtain information on participatingsites, new research efforts in SOD and information for potential study subjects. For security reasons, this sitewill be separate from the WebDCU password protected data collection website. The following sectionsdescribe briefly the proposed data management plan for this study.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01DK074739-01A1
Application #
7426155
Study Section
Special Emphasis Panel (ZDK1-GRB-7 (M3))
Project Start
2007-09-15
Project End
2012-06-30
Budget Start
2007-09-15
Budget End
2008-06-30
Support Year
1
Fiscal Year
2007
Total Cost
$212,735
Indirect Cost
Name
Medical University of South Carolina
Department
Type
DUNS #
183710748
City
Charleston
State
SC
Country
United States
Zip Code
29425
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Romagnuolo, Joseph; Cotton, Peter B; Durkalski, Valerie et al. (2014) Can patient and pain characteristics predict manometric sphincter of Oddi dysfunction in patients with clinically suspected sphincter of Oddi dysfunction? Gastrointest Endosc 79:765-72
Brawman-Mintzer, Olga; Durkalski, Valerie; Wu, Qi et al. (2014) Psychosocial characteristics and pain burden of patients with suspected sphincter of Oddi dysfunction in the EPISOD multicenter trial. Am J Gastroenterol 109:436-42
Cotton, Peter B; Durkalski, Valerie; Romagnuolo, Joseph et al. (2014) Effect of endoscopic sphincterotomy for suspected sphincter of Oddi dysfunction on pain-related disability following cholecystectomy: the EPISOD randomized clinical trial. JAMA 311:2101-9
Cotton, Peter B; Durkalski, Valerie; Orrell, Kyle B et al. (2010) Challenges in planning and initiating a randomized clinical study of sphincter of Oddi dysfunction. Gastrointest Endosc 72:986-91