# Virtual European Solar & Planetary Access (VESPA): a Planetary Science Virtual Observatory cornerstone

## TL;DR

VESPA is a Virtual Observatory-based platform that integrates diverse planetary science data, enabling easier search, analysis, visualization, and publication of data across multiple planetary and heliophysical domains.

## Contribution

This paper details the development of VESPA, a VO-based system tailored for planetary science, extending existing standards to handle specific data types and facilitating data sharing and analysis.

## Key findings

- VESPA successfully integrates planetary data from various sources.
- It extends VO standards to accommodate planetary surface and plasma data.
- VESPA enhances data accessibility and interoperability for planetary research.

## Abstract

The Europlanet-2020 programme, which ended on Aug 31st, 2019, included an activity called VESPA (Virtual European Solar and Planetary Access), which focused on adapting Virtual Observatory (VO) techniques to handle Planetary Science data. This paper describes some aspects of VESPA at the end of this 4-years development phase and at the onset of the newly selected Europlanet-2024 programme starting in 2020. The main objectives of VESPA are to facilitate searches both in big archives and in small databases, to enable data analysis by providing simple data access and online visualization functions, and to allow research teams to publish derived data in an interoperable environment as easily as possible. VESPA encompasses a wide scope, including surfaces, atmospheres, magnetospheres and planetary plasmas, small bodies, helio-physics, exoplanets, and spectroscopy in solid phase. This system relies in particular on standards and tools developed for the Astronomy VO (IVOA) and extends them where required to handle specificities of Solar System studies. It also aims at making the VO compatible with tools and protocols developed in different contexts, for instance GIS for planetary surfaces, or time series tools for plasma-related measurements. An essential part of the activity is to publish a significant amount of high-quality data in this system, with a focus on derived products resulting from data analysis or simulations.

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Source: https://tomesphere.com/paper/1907.06521