Data Stories

What is a Data Story presentation? In this presentation students share their process, methods, and/or reflections on their experience with data for a research project.  Data is any gathered information used in process of a research project.  Data can be both quantitative and qualitative.  Quantitative data includes anything that we can measure using numbers such as income, population, etc.  Qualitative data can include images, stories, audio recordings, interviews, etc. Presentations may include information on project data, challenges to data collection, interpretation, analysis and visualization tools, decision-making process, research methods, preliminary results, and lessons learned. 

The research project does not need to have been completed by May 26th, the day of the symposium.    

Candidates for Data Stories include students who: 

  • have data but have not completed their research project 

  • have finished their project but want to participate by focusing on data aspects 

  • want to focus their presentation on their experience with data 

  • want to discuss their learning experience gathering and using data 

Presenters may wish to consider addressing one or more of the following questions in putting together their presentation:  

  • Why did you collect this data and how does it relate to your research question?  

  • What were the challenges in gathering the data? 

  • Did you learn a new technique to process or understand your data? 

  • Did you learn a new way to present and/or visualize your data?  

  • Did you find a new way to organize and/or store your data? 

  • What does your data not explain? Is there more to your research question?    

Data Story Presentation (Virtual and In-person): 

Data Story presenters can choose to present in-person or virtually via moderated Zoom sessions on May 26th.  In-person presentations will take place from 10 a.m. to 5 p.m. in the Price Science Library Visualization Lab. Data Stories students will receive support for either mode of presentation.   

Depending on the number of presenters, students may be grouped in 90-minute “Data Stories” sessions with other presenters. The final 15-20 minutes of the sessions will be reserved for questions and discussion.  Students should plan for presentations to be approximately 10 to 15 minutes in length. Each presenter will be contacted prior to May 26th to answer any questions and provide support for the presentation.   

Full details on support resources for students preparing and delivering their presentations virtually or in-person will be provided in the Presenter Confirmation Survey distributed after the Abstract Submission. Video tutorials, virtual workshops, and onsite support consultations will be provided. 

Faculty Mentors will be invited to both the Zoom and in-person sessions. Session moderator(s) will introduce the students, and facilitate discussion. All Zoom sessions will be recorded and uploaded to the Symposium YouTube channel for viewing after the Symposium as part the Symposium on-line exhibit.