Document Details

Title Transparent Metadata Capture for Environmental Science
Archive All Files / Documents / Presentations / Oral Presentations

If current trends continue, in 2100 we can expect environmental information systems will have access to vast stores of data from automated sensor systems, scientists and the public will interact with these systems using natural human interfaces (including touch, speech and 3-dimensional vision), and natural language will replace technical query languages and syntax. In short, we will be approaching the "Star Trek" era of computing where concept replaces syntax and speech replaces text as the means of requesting information. To get there, we need ubiquitous and sophisticated metadata for all environmental data we collect.

Contributor Wade M. Sheldon

Sheldon, W.M. Jr. 2012. Presentation: Transparent Metadata Capture for Environmental Science. Ecological research from a truly long-term perspective: What needs to be done today to support ecological analysis in 2100? 2012 LTER All Scientists Meeting, September 10-13, 2012, Estes Park, Colorado.

Key Words automation, computer science, data, future, LTER-IMC, metadata
File Date 2012
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This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.