| Issue |
EPJ Web Conf.
Volume 186, 2018
Library and Information Services in Astronomy VIII: “Astronomy Librarianship in the era of Big Data and Open Science”
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 4 | |
| Section | Research Data Management in Astronomy: Work in Progress | |
| DOI | https://doi.org/10.1051/epjconf/201818603001 | |
| Published online | 27 July 2018 | |
https://doi.org/10.1051/epjconf/201818603001
Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining Discovery Engine. II. Current Contents and Future Plans
1
California Institute of Technology
2
IPAC, MS 100-22, Pasadena, CA 91125
* e-mail: mschmitz@ipac.caltech.edu ORCID: 0000-0002-2055-7549
Published online: 27 July 2018
Recent advances have been made in evolving the NASA/IPAC Extragalactic Database (NED) into a data mining discovery engine. Infrastructure changes and data integration techniques are enabling more than a 10-fold expansion. NED will soon contain over a billion objects with their fundamental attributes (such as names, positions, redshifts, fluxes, and diameters) determined via cross-identifications among the largest sky surveys and over 100,000 smaller but scientifically important catalogs and journal articles. In addition, enhancements to the user interface, including new APIs, VO protocols, and queries involving derived physical quantities, will provide new pathways for multi-wavelength studies of large extragalactic samples.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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