Data Management

Given the value of data in MU-JHU Care Ltd, data management supports the data value chain by generating quality data needed for patient support and for decision making. Data management creates valuable information resources for the organisation through entry, management and reporting. The team roles and responsibilities are guided by the MU-JHU data governance policy.
Data management was incorporated during the inception of the organisation in 1988. Over time, the different roles have been added given the expanding number of studies and the need for quality data,
The Data management team is spread out throughout MU-JHU. The main data management office is located in MU-JHU three, top floor. Other data management team members can be located with study teams to closely support data management functions in close collaboration with study teams.

Data management at MU-JHU involves:

Receiving of Case Report Forms ( CRF)
Review CRFs for completeness
Entry of the CRF information into study-specific databases
Checking and validating participant information in the databases for completeness and consistency
Supporting study teams to resolve data queries
Preparing participants visit schedule/calendar
Development of study databases
Data analysis
Preparing study progress reports (weekly, monthly, quarterly, annually and on ad-hoc requests)
Supporting project/study leadership with monitoring and evaluation function for the project/study

Team structure, roles and milestones

The Data management team is comprised of Data managers and records clerks. The Data Management team are directly under the director of the Division of Quality Management (DQM). The senior data manager is supervised by the director of the division.

Senior Data Manager
Data Managers
Senior Data Technician
Records clerks

Daily operations and function across studies

The data management team members are attached to specific studies, where they are responsible for data entry, cleaning and preparing of study reports. They also prepare participants schedules and update participant clinic attendance as required.

The data team members directly under the QMD work across the network studies. Their work includes entry of participant information into the study databases (hosted by the Data Coordinating Centres (DCC)), supporting the clinic teams to respond to queries raised by DCC and updating all participant attendance information in the participant tracking databases.

Data Managers

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Nixon Ayena

Nixson Ayena is an accomplished health data analyst dedicated to advancing public health through data-driven strategies. He is currently pursuing a Master of Biostatistics at Makerere University and a Master of Monitoring and Evaluation at Uganda Technology and Management University. He holds a postgraduate diploma in Monitoring and Evaluation from Uganda Management Institute and a Bachelor's degree in Economics and Statistics from Kyambogo University.

As a Data Manager at MU-JHU Research Collaboration/MUJHU Care LTD, Nixson contributes significantly to the MERIT/MIRASOL project. His responsibilities include developing study CRFs, maintaining data management plans, providing technical guidance, and ensuring data quality.

With expertise in statistical analysis techniques such as regression, survival analysis, and longitudinal data analysis,Nixson has made groundbreaking contributions to public health. He is proficient in STATA, R, SPSS, and digital data collection tools like SurveyCTO, Kobo Toolbox, and ODK.

Beyond his technical skills, Nixson has a deep understanding of epidemiology and statistical methodologies, which enriches his healthcare research. His ability to translate complex data into accessible visualizations highlights his exceptional talent in data management and analytics.

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Lorna Aol

Lorna is currently working as a Data Manager at Makerere University-John’s Hopkins University Research Collaboration (MU-JHU). She has over 8 years of experience in Data management for both program data and research data. She also has additional experience in monitoring and evaluation. She has a Bachelor’s Degree in Statistics, a Master’s degree in Biostatistics from Makerere University and a post graduate diploma in Monitoring and Evaluation from the Uganda Management Institute (UMI). Lorna has expertise in management of large datasets, analysis of cross-sectional survey and longitudinal data. She has co-authored articles published in international peer reviewed journals and abstracts presented at international conferences. She is passionate about mentoring young women in Statistics and related fields to progress in their careers. Her areas of interest include maternal and child health and the use of routinely collected electronic medical records to improve health care and service delivery in public health facilities in Uganda.

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Valerie Tusubira

Valerie V Tusubira is currently working as a Data Manager at Makerere University-John’s Hopkins University Research Collaboration (MUJHU). Valerie has over 10 years experience in case report form building, data management and data analysis. She has previously worked with demographic surveillance data under the School of Public Health, Makerere University. She also has additional experience in monitoring and evaluation. She has a Bachelor’s Degree in Statistics, a Master’s degree in Public Health with a bias towards Epidemiology and Biostatistics from Makerere University. Valerie has also acquired expertise in management of Clinical Trial data and building of clinical trial databases using REDCap. Over the years, she has acquired experience in management of large datasets and analysis of cross-sectional survey and longitudinal data using especially STATA. She has co-authored and published in international peer reviewed journals. She is passionate about maternal and child health and has a vision of mentoring young ladies looking to kick start their careers in the field of data management and analysis in health related fields.

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Robert Serunjogi

Robert Serunjogi holds an honors degree in Statistics and has over 20 years of experience in Data Management, monitoring, and evaluation. He currently works as a Data Manager for the Hospital-based Birth Defects Surveillance project, managing a database that observes approximately 40,000 births per year from four major hospitals in Kampala.

For the past seven years, Robert has spearheaded the design and implementation of data quality control processes, including statistical process control charts to track key data quality areas and identify inefficiencies. He holds certifications in Project Management in Global Health from the University of Washington and has completed a Monitoring & Evaluation course with InsideNGO.

Robert has presented oral abstracts on birth defects and data quality at international conferences, including the 10th International Conference on Birth Defects and Disabilities and the 44th Annual Meeting of the International Clearinghouse for Birth Defects Surveillance and Research. He has contributed to over six publications and is a lead author on one. Robert is also a member of the sub-Saharan African Congenital Anomalies Network, which supports congenital anomaly surveillance and capacity building in the region.

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Priscilla Eroju

Priscilla Eroju is a dedicated Data Manager and Biostatistician with extensive experience in survey and clinical trial research. She holds a Bachelor’s degree in Statistics from Makerere University and a Master’s in Biostatistics from the School of Public Health, Makerere University.

Since 2021, Priscilla has been working with MU-JHU as a data manager on a clinical trial, overseeing data collection, entry, and cleaning. She is proficient in data programming, processing, and analysis using statistical programs such as STATA, SQL, and R. Additionally, she has expertise in database development using RedCap, ODK, and EpiInfo.

Priscilla collaborates closely with laboratory teams to ensure efficient data collection, transfers, and cleaning processes. Her background in Biostatistics provides her with skills in survival analysis, count data analysis, longitudinal data analysis, non-parametric tests, weighting survey data, and calculating sample sizes for various study designs. Priscilla’s expertise and meticulous approach to data management make her an invaluable asset to any research team.

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Winnie Nansamba

Data Manager

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Ethan Godwills Arima

Data Manager

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Martin Nabwana

Data Manager

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Gordon Rukundo

Data Manager

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