"What are we aiming at?”
That’s the question our first president, Daniel Coit Gilman, asked at his inauguration in 1876. What is this place all about, exactly? His answer:
"The encouragement of research . . . and the advancement of individual scholars, who by their excellence will advance the sciences they pursue, and the society where ...
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RISE Nigeria works in collaboration with government and local partners to address areas of unmet need, scaling-up proven and innovative approaches to address unmet needs, building on the momentum of the surge response, strengthening local partners and networks, and contribute to a culture of quality, data use, and accountability in selected Nigeria state.
The RISE Team is seeking Data Assessors to support the conduct of the data validation exercise scheduled to hold in Akwa Ibom and Cross River states in October 2023. The objective of the data validation exercise is to determine the number of adults and children currently receiving antiretroviral therapy (ART) (TX_CURR) data to be reported by the outgoing Implementing Mechanism (IM) by evaluating the quality, accuracy, and completeness of the EMR data. We are accepting applications for both Cross River and Akwa-Ibom States.
Daily Rate: N25,000
Responsibilities
Participate in the orientation for the DQA exercise.
Develop and submit daily reports of DQA activities to the Data.FI DQA site team leads.
Review collected data thoroughly to ensure that it adheres to established guidelines and standards.
Identify discrepancies and inconsistencies in the data per the DQA protocol and carefully document these discrepancies per the DQA protocol.
Validate the accuracy and completeness of data entries based on predefined criteria.
Documentation of data validation findings.
Ensure sensitive information is handled appropriately by adhering to data privacy and security protocols.
Required Qualifications
Proficiency in the use of computers; with advanced skill in the use of Microsoft excel.
Attention to detail and the ability to spot patterns and inconsistencies in data.
Previous experience in data assessment or related roles is advantageous.
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