Data Management involves processing, preservation and visualization of data. It involves providing access to high quality measured and modeled data, along with analysis tools to the end users. It enable the management of data from disparate sources and in varying formats, which may include structured and unstructured data, point based measurements, from ocean observations and satellite remote sensing observations and more. This course is aimed at researchers to provide a comprehensive introduction to a variety of oceanographic datasets and formats and the use of software for visualization and analysis of oceanographic data. The importance of good research data management practices and some application of well managed data will also be highlighted.

Aims and objectives:

• Provide an introduction to Data Management.
• Introduction to the metadata, formats, quality control.
• Introduction to value added products, visualization of data.
• Introduce key statistical concepts for ocean data analysis, including probability distributions, correlation, regression and exploratory data analysis.
• Introduction to Open Source S/Ws for data analysis and visualization

Learning Outcomes:

• Understand the principles of ocean data management, including data flow from acquisition to dissemination.
• Apply international best practices for quality control of oceanographic and meteorological data.
• Use statistical techniques to analyze trends, variability, and anomalies in ocean time series and spatial datasets.
• Handle large ocean datasets and metadata using standard formats (NetCDF).
• Develop and apply scripts in Ferret for basic QC, analysis, and plotting of ocean parameters.
• Integrate observational and model data for operational oceanographic applications such as forecasts, advisories, and validation.
• Contribute to national oceanographic data services, decision-support systems, and global initiatives such as the IODE, GOOS, and IMOS.

Target Audience:

The target audience for this course :

Early research students, Early career professionals working on Ocean science, and who wish to learn fundamentals of Data Management.

Course Fees:

There is no course-fee. However, registration is required.

Application Process :

Please fill the online application form: Link

Period for Applications: 19 August - 01 October, 2025

Applications closing on : 01 October, 2025 05:00 PM IST (GMT +05:30)

Certificate: At the end of the course each successful participant will be provided with a certificate.

Programme Dates:

13 – 24 October 2025

Venue:

International Training Centre for Operational Oceanography (ITCOocean),
Indian National Centre for Ocean Information Services (INCOIS),
Ministry of Earth Sciences, Government of India,
"Ocean Valley", Pragathi Nagar (B.O), Nizampet (S.O),
Hyderabad - 500 090, INDIA

Faculty:

• Dr. TVS Udaya Bhaskar, INCOIS
• Dr. R. Venkat Shesu, INCOIS
• Mr. B Balaji, INCOIS
• Mr B Vishnu Tejaswi

For any queries please contact:

For any queries related to this course:
Dr. T V S Udaya Bhaskar
Head, Ocean Data Management (ODM) &
Programme Planning and Coordination Group (PPC)
E-mail: itcoocean@incois.gov.in/uday@incois.gov.in