SciServer: A science platform for astronomy and beyond

Autor: A. R. Thakar, László Dobos, M.J. Raddick, Mike Rippin, J.W. Kim, Dmitry Medvedev, Manuchehr Taghizadeh-Popp, C. Chhetri, Gerard Lemson, J. Booker, Alexander S. Szalay
Rok vydání: 2020
Předmět:
Zdroj: Astronomy and Computing. 33:100412
ISSN: 2213-1337
Popis: We present SciServer, a science platform built and supported by the Institute for Data Intensive Engineering and Science at the Johns Hopkins University. SciServer builds upon and extends the SkyServer system of server-side tools that introduced the astronomical community to SQL (Structured Query Language) and has been serving the Sloan Digital Sky Survey catalog data to the public. SciServer uses a Docker/VM based architecture to provide interactive and batch mode server-side analysis with scripting languages like Python and R in various environments including Jupyter (notebooks), RStudio and command-line in addition to traditional SQL-based data analysis. Users have access to private file storage as well as personal SQL database space. A flexible resource access control system allows users to share their resources with collaborators, a feature that has also been very useful in classroom environments. All these services, wrapped in a layer of REST APIs, constitute a scalable collaborative data-driven science platform that is attractive to science disciplines beyond astronomy.
Comment: Accepted for publication in the Astronomy and Computing journal
Databáze: OpenAIRE