From Dark Energy to Exolife: Improving the Digital Information Infrastructure for Astrophysics
Michael J. Kurtz, Alberto Accomazzi

TL;DR
This paper emphasizes the need to enhance digital infrastructure in astrophysics to facilitate interdisciplinary collaboration, data sharing, and discovery, especially in emerging fields like exoplanets and multi-messenger astronomy.
Contribution
It advocates for the development of integrated discovery platforms to overcome institutional barriers and promote cross-disciplinary research in astrophysics.
Findings
Current infrastructure is fragmented and siloed.
Enhanced discovery platforms can foster collaboration.
Improved data access accelerates scientific breakthroughs.
Abstract
Some of the most exciting and promising areas of Astronomy research today are found at the boundaries of the discipline: the search for Exoplanets and Multi-Messenger Astronomy. In order to achieve breakthroughs in these research fields over the next decade, innovation and expansion of the digital information infrastructure which supports this research is required. Astronomy has been well-served by the existence of an open, distributed network of data centers and archives. However, institutional barriers and differing research cultures have prevented cross-disciplinary collaborations, creating fragmented knowledge and stove-piped research activities. This must change in order for the broader community of scientists to work together and solve our most ambitious decadal challenges. Interdisciplinary inquiry is best supported by bringing researchers together at the information discovery…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Distributed and Parallel Computing Systems
