Kellogg Biological Station Metadata System

The Kellogg Biological Station Metadata Management System Summary

The Kellogg Biological Station (KBS) LTER site their metadata and metadata in a relational database (DB2). Normalized relational databases are at the center piece of the KBS's site metadata management system, and the transactions with the public and the users are coded using the Ruby on Rails framework. The jsp?? scripts allow users to query, view and download metadata and data as well as to manage the KBS website in general. Rich metadata is offered both as raw EML and a text synopsis per dataset.

LTER sites with similar management systems

  • some similarities : BNZ, SEV, HBR
  • potential synergies : MCM, PAL, CCE, MCR

The Kellogg Biological Station Detailed

The KBS LTER site their metadata and metadata in a normalized relational database. Due to the diverse data collections, in the recent past, multiple databases managed tabular and Geospatial data. KBS is centralizing these resources to a geo-enabled, XML friendly, back end database IBM DB2. Thus, the relational database model is the center piece of the KBS's site data and metadata management system. A number of custom script aid with the data quality control process, and facilitate the investigator and the information manager to conduct and oversee the task of ensuring high quality data. The scripts allow users to query, view and download metadata and data as well as to manage the KBS website in general. Metadata is offered in conjunction with the data sets, as brief synopsis, however, the raw EML which is rich in content (level 5, attribute level) is also available in its raw state.

EML Status:

  • Completion: All metadata is available in EML.
  • Richness : Nearly all EML documents are very rich, to the attribute level (levels 5)
  • QA/QC : There are mechanisms to ensure the quality of the metadata and data ??