17:15 〜 18:45
[MGI27-P02] FAIR and Planetary science using Vespa
キーワード：Interoperability, Planetary science, Sun, FAIR
Accessible and Interoperable are well covered by IVOA and addopted internationally for both planets and the sun. The reproducibility of data is defined by the most exhaustive possible description of acquisition conditions and processing methods. A great deal of work is underway to standardize the description of origin.
There remains the problem of Findable, and what we mean by this term, this is the current effort to simplify the user's life and offer him an intuitive "discovery path" through datasets, even if the data is in the millions. In this journey, we approach the notion of search by zone of interest, which we delimit with the mouse.
The protocol is designed for this type of search, and is combined with a search language close to SQL called ADQL. It is possible to perform time-consuming refined searches using an asynchronous query. Several tools are available for this purpose, one of the best integrated being Topcat.
Finally, FAIR's interoperability also includes data formats that can be read by "generic" scientific clients and free software libraries.
The community from which the access standards are drawn (astronomy) makes extensive use of Pythn, and has developed an extensive and scalable toolbox through Astropy. Clients for viewing images, spectra and data grids are also freely available with open code.
The VESPA solar system data access project is fully in line with this approach.
The Europlanet-2024 Research Infrastructure project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 871149.
There remains the problem of Findable, and what we mean by this term, this is the current effort to simplify the user's life and offer him an intuitive "discovery path" through datasets, even if the data is in the millions. In this journey, we approach the notion of search by zone of interest, which we delimit with the mouse.
The protocol is designed for this type of search, and is combined with a search language close to SQL called ADQL. It is possible to perform time-consuming refined searches using an asynchronous query. Several tools are available for this purpose, one of the best integrated being Topcat.
Finally, FAIR's interoperability also includes data formats that can be read by "generic" scientific clients and free software libraries.
The community from which the access standards are drawn (astronomy) makes extensive use of Pythn, and has developed an extensive and scalable toolbox through Astropy. Clients for viewing images, spectra and data grids are also freely available with open code.
The VESPA solar system data access project is fully in line with this approach.
The Europlanet-2024 Research Infrastructure project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 871149.