Scientific Data Management

Scientific Data Management Training

Friday, November 29, 2019 - 9:55am
University of Cape Coast, Ghana
Organized By
Directorate of Research, Innovation and Consultancy
Various Speakers


Scientific data management enhances the capacity of postgraduate students to meaningful engage in conducting quality research by developing appropriate research proposals, design of studies, collection and analysis of data for meaningful reporting. PhD and MSc students are heavily involved in large-scale experiments or surveys that sometimes lead to complex designs and to subsequent messy data. Figuring out how to handle data resulting from such experiments/surveys takes time, and getting appropriate assistance is difficult. The students are also constrained on how to effectively analyze data using appropriate statistical software, interpret the results and communicate well to the target audience. In recognition of these shortcomings, this course is structured to encompass broad biometrical needs that will equip the postgraduate students with skills required in conducting their research efficiently and effectively. The content incorporated in this course is drawn from broader topics ranging from planning of experiments/surveys, designing and implementing experiments, conducting data analysis for qualitative and quantitative data. The students will also be exposed to key statistical software (Genstat and SPSS) for data analysis and reporting. Read details here

Key Features / Side Attractions
Confidently illustrate fundamental concepts behind experimental/survey designs and statistical data analyses within the context of developing countries;
Apply key statistical concepts such as correlation& regression analysis; categorical data analysis techniques and generalized linear models, etc; and
Use statistical software to describe, analyze and model the state of a biological or agricultural system in both a quantitative and qualitative manner.