Data Sharing with Figshare

Data Sharing with Figshare focuses on equipping participants with the necessary skills to effectively utilize Figshare for open science and data sharing. This course emphasizes hands-on, project-based learning, allowing participants to engage with real-world scenarios that enhance their understanding of data management and dissemination. By the end of the program, participants will be proficient in leveraging Figshare's platform to publish, share, and promote their research outputs, fostering collaboration and transparency in academic and professional settings.
The course structure is designed to facilitate interactive learning experiences, encouraging participants to publish their findings in Cademix Magazine. This not only enhances their visibility in the academic community but also contributes to their professional development. Participants will engage in collaborative projects, discussions, and practical exercises that reinforce their learning and application of data sharing principles. The program culminates in a final project where learners will create a comprehensive data sharing plan using Figshare, showcasing their acquired skills and knowledge.
Syllabus:
Introduction to Figshare: Overview and Features
Setting Up a Figshare Account: Step-by-Step Guide
Data Management Best Practices for Open Science
Creating and Uploading Research Outputs to Figshare
Understanding Figshare Metadata and its Importance
Strategies for Promoting Shared Data and Research Outputs
Collaborative Projects: Working with Peers on Data Sharing
Analyzing Usage Metrics on Figshare: Insights and Trends
Preparing for Publication: Writing for Cademix Magazine
Final Project: Developing a Data Sharing Plan with Figshare

Equip participants with the skills to effectively share and manage research data using Figshare, enhancing their professional capabilities in open science.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of academic research methodologies and familiarity with data management concepts.