“Big Data” is used to refer to the very large datasets generated by scientists, to the many petabytes of data held by companies like Facebook and Google, and to analyzing real-time data assets like the stream of twitter messages emerging from events around the world. Key areas of interest include technologies to manage much larger datasets (cf. NoSQL), technologies for the visualization and analysis of databases, cloud-based data management and datamining algorithms. Recently, however, we have begun to see the emergence of another, and equally compelling data challenge – that of the “Broad data” that emerges from millions and millions of raw datasets available on the World Wide Web. For broad data the new challenges that emerge includeWeb- scale data search and discovery, rapid and potentially ad hoc integration of datasets, visualization and analysis of only-partially modeled datasets, and issues relating to the policies for data use, reuse and combination. In this talk, we present the broad data challenge and discuss potential starting points for solutions. We illustrate these approaches using data from a “meta-catalog” of over 1,000,000 open datasets that have been collected from about two hundred governments from around the world.