@inproceedings{e16bc3e5fd5a4456b8ec16dac61b955a,
title = "Data central's data aggregation service",
abstract = "Astronomers routinely have to collate heterogeneous observational data for one or several targets from a variety of online resources. Traditionally this process of data aggregation can be time consuming and error prone, especially if multiple telescope archives or data centres are searched individually. To streamline this task we have developed Data Central's Data Aggregation Service (DAS), an interactive web application that leverages Aladin Lite to display images and catalogues resulting from multiple online service queries of a given target. The modern asynchronous Python design allows these queries to be sent simultaneously and individual results are quickly displayed as soon as they are received. The DAS also hosts Pipeline As a Web Service (PAWS) data reduction workflows that may be triggered on demand. The DAS can effectively unlock science from unreduced data in telescope archives and may help manage the massive data volumes expected from next generation facilities. ",
keywords = "Data aggregation service, asynchronous cross-matching, pipeline as a web service, telescope archives, multi-wavelength visualisation, Aladin Lite",
author = "Brent Miszalski and O'Toole, {Simon J.} and James Tocknell and Lachlan Marnoch and Ryder, {Stuart D.}",
year = "2022",
doi = "10.1117/12.2642065",
language = "English",
isbn = "9781510653597",
series = "Proceedings of SPIE",
publisher = "SPIE",
pages = "1--4",
editor = "Jorge Ibsen and Gianluca Chiozzi",
booktitle = "Software and Cyberinfrastructure for Astronomy VII",
address = "United States",
note = "Software and Cyberinfrastructure for Astronomy VII 2022 ; Conference date: 17-07-2022 Through 21-07-2022",
}