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Here is a(n alphabetical) listing of the web Web  sites mentioned in the talk (to be tweeted with the hashtag #AASviz): * **.Astronomy**: [dotastronomy.com](http://www.dotastronomy.com) _‘Dot-astronomy’ aims to bring together an international community of astronomy researchers, developers, educators and communicators to showcase and build upon web-based projects, from outreach and education to research tools and data analysis._ #dotastronomy  * **ADS All-Sky Survey**: [adsass.org](http://www.adsass.org) _Astronomy Papers. On the Sky. Who studies what in the sky when, and why? Funded by #NASA.  #adsass * **AstroBetter**: [astrobetter.com](http://www.astrobetter.com) _Tips and Tricks for Professional Astronomers._ #astrobetter  * **Astronomical Medicine**: [am.iic.harvard.edu](http://www.am.iic.harvard.edu) _Trading tools between Astronomy and Medicine._ * **astroML**: [astroML.org](http://www.astroml.org) _Python module for Machine Learning and Data Mining in Astronomy._ 
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* **Zooniverse**: [zooniverse.org](http://zooniverse.org) _The Zooniverse is home to the internet's largest, most popular and most successful citizen science projects._ @the_zooniverse  **Many additional relevant (software) links can be found within these two papers by @aagie (Alyssa Goodman) et al.:** papers:**  * **Principles of High-Dimensional Data Visualization in Astronomy** (Goodman 2012):  [tinyurl.com/datavizprinciples] (http://tinyurl.com/datavizprinciples) _Charts a course toward ``linked view" systems, where multiple views of high-dimensional data sets update live as a researcher selects, highlights, or otherwise manipulates, one of several open views._ * **A New Approach to Developing Interactive Software Modules Through Graduate Education** (Sanders, Faesi & Goodman 2013): [tinyurl.com/eduviz] (http://tinyurl.com/eduviz) _Tests whether interactive, educational, online software modules can be developed effectively by students as a curriculum component of an advanced science course. (Answer is yes.)_     *  **Ten Simple Rules for the Care and Feeding of Scientific Data**: Data** (Goodman et al. 2014):  [tinyurl.com/10simpledata](http://tinyurl.com/10simpledata) _This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized._