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Part III. Appendix 4: User Outreach2. Archival data: Archival data are older data sets that are available for comparison with currentme<strong>as</strong>urements.a. Older data sets: For the data management system, this issue implies data mining, data rescue,and keeping an ongoing archive <strong>as</strong> operational data become archival data.b. Comparison: This could require data mangers to find and understand older metadata, translateolder data sets into appropriate units, and reformat older data for consistency.3. Collected at appropriate times: Data are most useful when they can be e<strong>as</strong>ily integratedwith other data sets for analysis. In the co<strong>as</strong>tal ecosystem, that means that data from differentsensors must be collected at almost the same time. The data management system must be capableof keeping the data streams organized and of delivering the needed section of multiple dat<strong>as</strong>ets.4. High spatial resolution: Co<strong>as</strong>tal processes occur over relatively small spatial scales. IOOSdata must be collected at high spatial resolution to observe and monitor these processes. Thishigh resolution could come from large numbers of in situ sensors or from high-resolution, remote-sensingsystems. For the data management and delivery system, storing and deliveringthese data sets to users will require m<strong>as</strong>sive storage capacity, excellent cataloging/relational datab<strong>as</strong>e capability, and a high-volume delivery system:a. M<strong>as</strong>sive storage capacity: It takes 900 times the data volume of currently available IKONOSimagery (approximately 1 m resolution) to cover the same area <strong>as</strong> one pixel of “old” Landsat(30 m resolution) imagery.b. Excellent catalog/relational data b<strong>as</strong>e capability: Multiple data sets must be able to besearched, sub-set, and selected are<strong>as</strong> extracted to be useful.c. High-volume delivery system: Users need these large amounts of data delivered in a usefulperiod of time. This will require efficient compression technologies and f<strong>as</strong>t, reliable deliverymechanisms.5. High temporal resolution: Co<strong>as</strong>tal ecosystems have processes that users need to monitoroccurring over time scales of storms and tides to El Niño and on to sea level rise. To address thisvariety of issues will require high temporal resolution data collected over long periods of time.This will add to the requirements for m<strong>as</strong>sive storage capacity, excellent cataloging/relationaldata b<strong>as</strong>e capability, and high-volume delivery systems.247

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