2007/01/12 by R. P. Norris, Ray P Norris, Norris, Ray P
Business, Management and Accounting · Computer Science · Decision Sciences · Physics and Astronomy · #Astrophysics (astro-ph) #Big Data and Business Intelligence #FOS: Physical sciences #Research Data Management Practices #Scientific Computing and Data Management #astro-ph
paper · pdf · doi:10.48550/arxiv.astro-ph/0701361
Submitted to Data Science Journal Presented at CODATA, Beijing, October 2006
arxiv created 2007/01/12 · openalex publication_date 2007/01/12 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Astronomy is one of the most data-intensive of the sciences. Data technology is accelerating the quality and effectiveness of its research, and the rate of astronomical discovery is higher than ever. As a result, many view astronomy as being in a 'Golden Age', and projects such as the Virtual Observatory are amongst the most ambitious data projects in any field of science. But these powerful tools will be impotent unless the data on which they operate are of matching quality. Astronomy, like other fields of science, therefore needs to establish and agree on a set of guiding principles for the management of astronomical data. To focus this process, we are constructing a 'data manifesto', which proposes guidelines to maximise the rate and cost-effectiveness of scientific discovery.