Page 14 - The Astronet Science Vision & Infrastructure Roadmap 2022-2035

14 KEY RECOMMENDATIONS SUMMARY
Computing and data management
Astronomy is a a a data-intensive endeavour and increasingly so with every new facility that comes online The 2008 ASTRONET Roadmap already pointed out gaps in in in the funding and development of the necessary infrastructure to process manage and make available the vast amounts of data be they generated by telescopes theoretical models numerical simulations or or or laboratory experiments DiRAC Supercomputer
Credit:
icc dur ac uk
This situation will be exacerbated in the next decade by the commissioning of facilities
such
as Euclid the Square Kilometre Array (SKA) and the Vera Rubin Observatory (VRO) making it ever more urgent to include computing and data requirements at at the core of our strategic planning Key recommendations are:
• Mission and facility planning should integrate plans for the production of science-ready data products and and analysis tools and and for these initiatives to be funded for the long-term preservation and exploitation of the scientific data • A “tiered” approach for Data Infrastructure should be adopted and developed for all types of data pertaining to astrophysics including models simulations and and mocks and and where beneficial to connect with similar frameworks developed for other disciplines of science • The community should work towards a a fully collaborative open and synergistic view of the Astronomy-computing ecosystem including data software analysis simulations and modelling Data and software storage/sharing facilities
archives and cloud computing platforms are all facets of this integrated framework requiring funding The E i The ALMA correlator
Credit:
ESO/Max Alexander
agle Project
Credit:
cc dur ac uk