Datenschutzerklärung|Data Privacy
Impressum

09.07.2012
A. Borusan

16.07.2012, 10 Uhr s.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Navigating Oceans of Data" (David Maier, Portland State University)

Some science domains have the advantage that the bulk of the data comes from a single source instrument, such as a telescope or particle collider. But more commonly, big data implies a big variety of data sources. For example, the Center for Coastal Margin Observation and Predication (www.stccmop.org) has multiple kinds of sensors (salinity, temperature, pH, dissolved oxygen, chlorophyll A & B) on diverse platforms (fixed station, buoy, ship, underwater robot) coming in at different rates over various spatial scales at several quality levels (raw, preliminary, curated). In addition, there are physical samples analyzed in the lab for biochemical and genetic properties, and a suite of simulation models for estuaries and near-ocean fluid dynamics. Few individuals know the complete range of data holdings, much less their structures and how they may be accessed. This talk presents a variety of approaches CMOP has followed to help operational, science and resource managers locate, view and analyze data, including the Data Explorer, Data Near Hear, topical "watch pages" and the Climatological Atlas. From these examples, and user experiences with them, I try to draw lessons about supporting users of "science observatories" and research issues that remain.