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Data to Dome
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Data to Dome is an initiative of the IPS Science Data & Visualization Task Force to make it easier to visualize scientific data in a planetarium. Data to Dome, as a broad IPS-led initiative, should not be confused with Data2Dome (D2D), which refers to the open data standard that is part of the larger Data to Dome vision.

Data to Dome Tutorials

The task force maintains an evolving set of tutorials, workshops, and datasets on techniques for visualizing data. This material can be found on GitHub -

Additional information

The Science and Data Visualization Task Force began writing columns for Planetarian starting in March 2014:

 Planetarian Topic   Author
 March 2014 Vol. 43 No. 1  About Time Mark SubbaRao
 June 2014 Vol. 43 No. 22  Earth sciences in the planetarium Tom Kwasnitschka, Ka Chun Yu, Matthew Turk
 September 2014 Vol. 43 No. 3  How to acquire and visualize datasets Mark SubbaRao
 December 2014 Vol. 32 No. 4 The Worldwide Telescope: Past, present and future Mark SubbaRao



Data2Dome logoData2Dome is an effort of the European Southern Observatory (ESO) and the International Planetarium Society. It uses a content distribution and publishing standard aimed at bringing astronomy data seamlessly into planetarium systems real-time It allows data providers to publish news and information "feeds" which may be accessed directly via planetarium software. The vision is that every day, planetarium presenters can access a menu to select fresh news, datasets, sky event data, historical event data and more.

D2D launched early in 2017. Its first implementation is through an Evans & Sutherland Digistar 6 platform. Work is continuing with other planetarium vendors to incorporate it into their systems as well.

Planetariums and interested vendors can learn more at the Data2Dome page at and at the ESO D2D page at

A major presentation on D2D was given at the IPS 2016 Conference in Warsaw, Poland. A story about the presentation appeared in the September 2016 Planetarian (Vol. 45 No. 3). You can also read a version of the paper here.

IPS Science & Data Visualization Task Force page

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