Welcome to our Data Analysis and Visualization Facility!
If you wish to collaborate with us, please contact us at datavizunit@gmail.com.
Guidelines for Collaboration:
Scientific Publications:
Our unit actively engages in scientific research, contributing to the development of manuscripts for publication. Unit members involved in the analysis and writing process may be considered for co-authorship, as previously agreed upon between principal investigators and unit leaders.
Acknowledgment:
Kindly include our unit in the acknowledgments section of scientific works resulting from our collaboration. Your acknowledgment fuels our commitment to advancing research.
Posters and conference presentations:
Let's make our collaboration visible! We encourage the inclusion of our unit's QR code in posters and conference materials. It's a simple way to link to our collaborative work, promoting engagement and recognition for both the unit members and the research principal investigators.
We're enthusiastic about the possibilities of our collaboration and anticipate achieving great things together!
If we have collaborated on the data analysis, please copy our QR code and paste it onto your related presentation/poster