The challenge of archiving and preserving remotely sensed data
Data Science Journal
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
Abstract
Few would question the need to archive the scientific and technical (S&T) data generated by researchers. At a minimum, the data are needed for change analysis. Likewise, most people would value efforts to ensure the preservation of the archived S&T data. Future generations will use analysis techniques not even considered today. Until recently, archiving and preserving these data were usually accomplished within existing infrastructures and budgets. As the volume of archived data increases, however, organizations charged with archiving S&T data will be increasingly challenged (U.S. General Accounting Office, 2002). The U.S. Geological Survey has had experience in this area and has developed strategies to deal with the mountain of land remote sensing data currently being managed and the tidal wave of expected new data. The Agency has dealt with archiving issues, such as selection criteria, purging, advisory panels, and data access, and has met with preservation challenges involving photographic and digital media. That experience has allowed the USGS to develop management approaches, which this paper outlines.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | The challenge of archiving and preserving remotely sensed data |
| Series title | Data Science Journal |
| DOI | 10.2481/dsj.2.159 |
| Volume | 2 |
| Year Published | 2003 |
| Language | English |
| Publisher | CODATA, The Committee on Data for Science and Technology |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 5 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Data Science Journal |
| First page | 159 |
| Last page | 163 |
| Country | United States |
| Google Analytic Metrics | Metrics page |