Navigating oceans of data

David Maier, V. M. Megler, António M. Baptista, Alex Jaramillo, Charles Seaton, Paul J. Turner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


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. More commonly, big data implies a big variety of data sources. For example, the Center for Coastal Margin Observation and Prediction (CMOP) 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 and provided at several quality levels (raw, preliminary, curated). In addition, there are physical samples analyzed in the lab for biochemical and genetic properties, and simulation models for estuaries and near-ocean fluid dynamics and biogeochemical processes. Few people know the entire range of data holdings, much less their structures and how to access them. We present 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 Here, and topical "watch pages." From these examples, and user experiences with them, we draw lessons about supporting users of collaborative "science observatories" and remaining challenges.

Original languageEnglish (US)
Title of host publicationScientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings
Number of pages19
StatePublished - 2012
Externally publishedYes
Event24th International Conference on Scientific and Statistical DatabaseManagement, SSDBM 2012 - Chania, Crete, Greece
Duration: Jun 25 2012Jun 27 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7338 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other24th International Conference on Scientific and Statistical DatabaseManagement, SSDBM 2012
CityChania, Crete


  • environmental data
  • ocean observatories
  • spatial-temporal data management

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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