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Love Data Week 2024 at TXST: Datathon Challenges

Open Access Data

What is an Open Access Dataset? 

Open data is data that can be freely used, re-used, and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike. To summarize the most important:

  • Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
  • Re-use and Redistribution: the data must be provided under terms that permit re-use and redistribution including the intermixing with other datasets.
  • Universal Participation: everyone must be able to use, re-use and redistribute - there should be no discrimination against fields of endeavour or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.

Handbook, O. D. (2015)

Challenge 1

Educational Technology

Participants can analyze open-access data to explore issues related to the educational technology field. Give insights, potential solutions, and/or recommendations based on your findings ​

Challenge 4

Sustainable Transportation

Participants can investigate sustainability and resiliency issues in transportation via an open-access dataset (i.e., long-term performance, ensuring durability, minimizing environmental impact, and enhancing overall resilience).

Challenge 2

Agricultural Economics

Participants can analyze open access data to identify issues related to agricultural economics or agricultural science and give potential solutions or recommendations based on their findings.  

Challenge 5

Public Health Issues

Participants can analyze any open access public health data to identify effective intervention strategies for addressing specific health issues in a community or predict the impact of potential factors. Share insightful findings, implications, and proposed solutions based on the research

Challenge 3

Open Data for Bobcat

Participants can analyze any open-access data to identify issues related to the Bobcat community and give insights, implications, potential solutions, and/or future recommendations.

Open Data Examples