Data should be accessible and usable by those making or influencing decisions. Those who need the data - whether scientists, local officials, or the general public - often don’t have access to, or are unaware of, the data that they need to make appropriate, informed decisions.
Small groups of undaunted experts get things done. Today, there are countless underutilized datasets, and the level of Data Access and Reusability varies widely by region, scientific discipline, and medium. We need to learn and share how others have improved data access and reusability.
This Do-A-Thon aims to utilize our shared knowledge to improve access to and awareness of a small but diverse collection of scientific data, with the long term goal of capturing these processes to develop leading practices to improve data access and reusability. After a brief presentation of background work including some preliminary “responsibilities and rights” with respect to improving data access and reusability, the majority of the session will be spent sharing and applying processes that have improved data access and reusability. Candidate datasets may be suggested to the organizers prior to the session. However, work can proceed in more general terms even without candidate datasets.
While this session will build upon work done in other spaces, no prior experience is necessary to participate.
Here are some recommended ways to prepare for this session: Some work on improving data access and reusability has been shared before. A review of the presentations in the 2019 AGU eLightning session,
Dirty Stories of Data Rescue (you'll need to select the session from the drop-down), can help give a sense of the diverse efforts that are already taking place.
If you have improved access or reusability of a dataset, please come prepared to share your experience.
If you are aware of a candidate dataset that needs to improve access or reusability, please contact Denise Hills or Steve Diggs before January 10, 2022, so that we can incorporate that into the Do-A-Thon.
Most importantly, come prepared to honestly share the successes, the learning experiences, highlights, and frustrations that you have encountered in your data conservation efforts.
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Agenda and NotesPresentation Slides
