reeseingraham / transform-to-open-science Goto Github PK

Using web scraping and natural language processing, create a centralized job board for job postings in open science.

We love hearing about how open science has improved people's lives! However, we currently do not have the infrastructure set up to ingest and store that data in a clean and efficient way. Your task will be to devise and implement a frontend method of soliciting and a backend method of storing those success stories, as well as making those stories publically available and searchable. This could be as simple as a Google Form, but of course, the more integrated this feature is with the Github repo the better. One potential inspiration is the Open Science Success Story Database.

Show the breadth open NASA data can be by categorizing NASA's publicly available data and creating an ontology of that data. A data ontology defines terminology, categories, properties, and relationships between the different concepts and data sources. You can visualize this ontology as network diagrams of shapes and lines for each data source. You can find a catalogue of NASA metadata in JSON format for all of the datasets at https://data.nasa.gov/data.json.

There is a wide range of open science-related literature and resources scattered across many locations. Your challenge will be to create a centralized, easily searchable database of the literature, as well as writing Natural Language Processing algorithms to analyze trends in the open science literature, as well as areas where more work is needed. Feel free to create a toy version using the collection of open source publications we have in our assets folder

Using Github Markdown and Github Markdown-supported HTML, create a calendar of open science embedded in the Github repo using the events from https://openresearchcalendar.org/calendar/.