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MINIMUM VIABLE PRODUCT #14
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We might be able to leverage available tech to get to a desired future state faster. Are there other open source front ends we should investigate? FRDRThe FRDR resource includes these results when I search for Does FRDR achieve our FAIR goals? Clicking through the links in the search results above usually leads to a web page providing an overview of a data source. Some of these pages include visualization and links for downloading data. This shows some success on F and A but more work needs to be done on I and R. Some of the data assembled and transformed by CCODWG goes deeper on I and R but is perhaps behind on F and A. UBC Open CollectionsAnother front end example I like is UBC's Open Collections. Data in that resource can be explored using a web GUI that feels like an offering from a library, similar to the FRDR interface. However, Open Collections also offers a documented API with code samples. Statistics CanadaStatistics Canada offers a front end for finding and accessing open data. Here are the results of searching that resource for Pangeo GalleryThe Pangeo Gallery is a resource that provides examples of code+data+visualization by leveraging ephemeral launches of customized toolchains and code with API calls using MyBinder. The gallery emphasizes I and R more than F and A*. |
What should the MVP for the future historian studying the pandemic look like? Should we engage with a digital historian to provide guidance on how to ensure the data flowing into https://whathappened.coronavirus.icu/ is organized for future investigators? This usage scenario appears to me to provide some unification of the CANMOD Digitization and CCODWG projects. |
@colliand |
This issue should be used for tracking and discussing what a "minimum viable product" of the FAIR COVID-19 Data for 🇨🇦 project would look like and what tasks must be accomplished.
What would a minimum viable product look like?
A minimum viable product (MVP) for this project would likely be a functional front-end (#8) supported by an accessible and documented API (#9) for a carefully curated set of the most important datasets transformed and available in FAIR format (#10, #15).
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