Abstract |
https://mercury2020.ias.u-psud.fr/abstract.php
Working with BepiColombo science data - current status and future plans
The BepiColombo mission to Mercury is expected to deliver a unique dataset to the scientific community. All scientific data and the ancillary products necessary to use and interpret them will be distributed through ESA’s Planetary Science Archive (PSA). Data are formatted to the NASA Planetary Data System version 4 format (PDS4) which stores data and meta-data using an extensible information model designed for planetary science. PDS4 allows for compatible data formats (e.g. FITS and CDF) to be archived natively with only the addition of an XML label, giving compatibility with other archives and community data services. As well as providing long-term storage of the data, the PSA aims to provide rich data search and analysis capabilities customised to each mission.
A significant barrier to using planetary data is that, currently, users have to download data to their local computer, read the relevant documents and find the appropriate tools to build an analysis pipeline. By the time BepiColombo reaches Mercury and the first Mercury-phase data are released to the public, we hope to have several enhancements in place to improve this workflow:
- A new user interface will improve the experience of browsing and searching for data.
A geographic information system (GIS) for Mercury will allow users to search for BepiColombo products in a map view.
- A new API (programmatic interface) will provide search capabilities for any custom meta-data, allowing for complex queries and data retrieval.
- Integration of the BepiColombo archive data into the ESA DataLabs project will be complete. This will allow users to execute queries and run custom code and pipelines on ESA infrastructure close to the data.
- Finally, to ease the burden of using data from a new instrument, the PI teams and BepiColombo SGS are working together to develop a series of tutorials based on open-source tools (e.g. Jupyter and python). These will be deployed on DataLabs as templates for new users to rapidly learn how to find, “slice and dice”, analyse and visualise the data.
The current state and future plans for BepiColombo archive data in the PSA will be presented here. Feedback on the services provided by the PSA and feature requests and enhancements to the data or archive functionality would be particularly welcomed.
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