Written in Livemark
(2022-06-27 03:42)

Data Literacy 101

About the website

This website aims to present, introduce, and provide a general overview of the fundamentals of data literacy in a way that is approachable and easy to understand. The fields of data and data literacy are vast and this website represents only a fraction of all the available knowledge and information. Be that as it may, the author hopes that this will serve as a good starting point for anyone interested in learning about open data, data literacy, and how these concepts can be applied in the work that they do.

Using the website

You can use the website as a general reference. It is divided into modules that discuss common topics in the field of data literacy and provides links to other learning resources.

About me

I am free and open stuff advocate from the Philippines who works at the intersections of the openness, data, technology, and geospatial fields. I am an alumnus of the School of Data Fellowship and Data Expert Programme with 8+ years of experience providing training, support, and consulting services on data literacy and free and open source software for geospatial (FOSS4G) applications to individuals, government agencies, the private sector, and civil society.

I support and take an active role in the open data and open mapping communities in the Philippines as an individual and through BNHR, my open data and open geospatial consultancy, and SmartCT, a tech non-profit that I co-founded. You can find me online on my website and on Facebook, YouTube (subscribe), Twitter, and Mastodon.

Support BNHR

If you find these materials useful, you can consider donating to the cause or buying me a drink below.

Donate and support BNHR

License

Creative Commons License

Except when expressly provided, this work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

Other works (images, media, software, etc.) referenced in this work are under their own respective licenses.

Learn about open data, how to work with data, how to do better data-driven projects, and how to improve your data literacy.