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FAIRFinds2019

Datasets, code scripts, and some example files from a brief presentation given at Library 2.019 Open Data Presentation, June 5 2019. The Presentation was FAIR Finds, applying the Fair Principles to a project resulting in data visualizations for HABs in NYS.

Library 2.019?

"The future of libraries in the digital age" educational opportunity for data enthusiasts, library professionals, information professionals, etc. Find out more : https://www.library20.com/open-data

FAIR principles?

FAIR is an acronym to provide guidelines in sharing data that is truly accessible and re-usable. Find out more here: https://www.go-fair.org/fair-principles/

HABS?

This project was about getting data from the New York State (USA) Department of Envionrmental Conservation about Harmful Algal Blooms (HABs) on waterbodies across the state. I found the data, but it didn't meet all of the FAIR guidelines at first. This presentation explores how this is a case study of getting opendata into 'FAIR' shape. :)

Materials

Inside, there are csv files that are examples of data that I used in this project. There is an R script with an example data visualization output that was used to make the treemap in this project. My final poster is included from the class this project was submitted to. There is also a zip file with the presentation materials from the June 5th presentation.

Usage

The files provided illustrate points in the presentation, and are provided for educational purposes only. Please feel free to use them, and share them as applies to your work.

so, License?

The CC-BY 4.0 License.

Support

Feel free to message or email me with questions or comments about this repo.

Project Status

This is wrapped up and done for now. It may be a foundation for more of my work at a future time.

Acknowledgements

Thank you to Library 2.0 for hosting the OpenData web conference and to the community for accepting my proposal to present. Thank you to the NYS DEC For providing the data for the work in the class, and to my classmates in Data Visualization for their thoughtful feedback and support in creating these visuals. Big thanks to the Tabula team, without which this project wouldn't have been possible!

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Datasets, code scripts, and some example files from a brief presentation given at Library 2.019 Open Data Presentation, June 2019.

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