Workshop Scope:
Workshop aims to share experiences and knowledge regarding “Hands-on” application of strategies and tools that support generating data products in-line with the FAIR data principles. The following topics will be covered:
Day 1: FAIR DATA
Day 2: DATA MANAGEMENT
Day 3: METADATA MANAGEMENT
Time: 09:00 - 11:00 Hours
Outcomes:
This workshop aims to promote the practice of data sharing in the State of Qatar. Accordingly, participants are expected to attain the following set of outcomes;
• Understanding of FAIR Data Principles.
• Research Data and Metadata Workflows.
• Best practices in Data Management using Statistical Software.
• Metadata Standards and long-term data preservation.
Target Group:
Researchers, Data Managers, Data Analysts, Data Librarians, Research Survey Data Archivists, Informatics Specialist, Library & Information Systems Students and Other Data Producers.
Participants Background:
Basic knowledge of Statistics, Informatics, Databases, and Programming.
Proposed date: 04 - 06 September 2023
Venue: SESRI Training Room, Qatar University
Duration: 2 Hours Daily
Number of attendees: 20 Seats
Other Requirements: Content will mostly be in English
Other Requirements: and participants to bring their own laptops.
Breaks: 5 - 10 minutes (Refreshments – bring and share)
Applications email: SESRI Events Organizers using sesri.events@qu.edu.qa
Presenter Bio
Mr. Brian W. Mandikiana is a Senior Research Data Analyst / Lead Data Archivist at the Social and Economic Survey Research Institute (SESRI), Qatar University. Brian has experience in data analysis, data management, metadata management, and metadata standards. Brian has published in both Academic and Technical Journals, regularly attends conferences in alignment with various stages of the data lifecycle as a presenter and to upskill. Due to his passion and belief in the power of data products in supporting human development, Brian has received fellowships from key stakeholders in the Data Management landscape, such as the International Federation for Data Organizations (IFDO), pan-European Collaborative Data Infrastructure EUDAT-CDI / the Partnership for Advanced Computing in Europe (PRACE) and IASSIST. Some his work has been accepted for presentation at the Stata (Statistical Software for Data Science & Data Analysis) User Group conferences, and the Decision Sciences Institute (DSI).