Glue is a Python library built to explore and visualize relationships within and amongst data sets. Its main features include linked statistical graphics, flexible linking across high-dimensional data sets, and full scripting capability.

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Study of the impact of social media and networking sites on scientific dissemination


Astronomers, and more broadly, the scientific community, are increasingly using blogging, micro-blogging, and other social media for both discovering and disseminating scientific knowledge. We are exploring several avenues for studying the impact of Twitter and other social networking sites on scientific readership.

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Astronomy Dataverse

Astronomers use, peruse and produce vast amounts of scientific data. Making these data publicly available is important because it supports the reproducibility of results, and ensures their long term preservation and reuse.... Read more about Astronomy Dataverse



Established in 2011, the Viz-e-Lab was founded as a testing ground for new software efforts in visualization and e-Science at the CfA.  Seamless Astrononmy projects are piloted and tested on users in this space, located on the third floor of the 160 Concord Avenue building of the CfA.  The lab is used to test new hardware--primarily input devices--as well as new software.  At present, two main focii are the development of sophisticated tools "linked view" visualization of high-dimensional data (see "Glue", below) and the integration of WorldWide Telescope into research and teaching paradigms.

ADS All-Sky Survey (ADSASS)

The ADS All-Sky Survey (ADSASS) is an ongoing collaboration of the Seamless Astronomy team, the Strasbourg Astronomical Data Center (CDS), and Microsoft Research aimed at turning the NASA Astrophysics Data System (ADS), widely known for its unrivaled value as a literature resource for astronomers, into a data resource.

The ADS is not a data repository per se, but implicitly contains valuable holdings of astronomical data in the form of images, tables, and object or observation references contained within the articles. We place these sources of data in to two categories: 1) data-literature connections, which are made possible from the curatorial efforts of teams around the world, such as the object-literature connections from our SIMBAD collaborators; 2) images, figures, tables, and other scientifically relevant matter embedded in the article but otherwise not extracted anywhere else.... Read more about ADS All-Sky Survey (ADSASS)

ADSlabs: Seamless integration of scientific data and literature

Astronomical data artifacts and publications exist in disjointed repositories. The conceptual relationship that links data and publications is rarely made explicit. One of the Seamless Astronomy group's primary projects is providing critical input to the development of new ADSlabs features, including integration with Dataverse and ADS All Sky Survey. The overarching goal is a platform that allows data and literature to be seamlessly integrated, interlinked, mutually discoverable.