Advanced window screenshot Searching Multiple Member Nodes Definitions
Free Text Searches Fielded Searches

Advanced window screenshot

Advanced window

For help with individual search options, please refer to the ‘HELP’ located at the bottom of each window.

Searching Multiple Member Nodes

One-Mercury allows searching of multiple member node data sources to find the data set of interest. The default setting is to search all member node data sources. To limit the member nodes searched, hightlight only the member nodes to search within the member node selection input.

Free Text Searches

To search all the metadata and documentation we have for a data file, use the ‘Full Text’ search field at the top of the search area. Enter a word or phrase in the input area. Phrases should be in double quotes, else One-Mercury will find records that have all of the words entered.

Example: Searching for "John Paul Jones" will find only those records with that exact phrase. Searching for John Paul Jones will find any record that has each word John and Paul and Jones anywhere in the result.

Fielded Searches

If you want to narrow down where in the metadata documents One-Mercury searches in, use Fielded Searches input area. This allows only the desired field to be searched. Multiple 'fielded searches' can be combined by choosing the desired boolean operator from the pick lists right of the text inputs. The default field is 'full text' and the default boolean operator is 'AND'.

Definitions

Abstract

Also called a summary. Text that briefly describes the purpose of a research effort. Abstracts in are usually limited to 250 words. Abstracts indicate the purpose of the data collection and convey the distinguishing characteristics of the research.

Title

The formal name given to a data set.

Originator

A scientist or researcher involved in an experiment or investigation. The investigator has responsibility for the outcome of the effort.

Keywords

A list of words that indicate the main content of a data set or document. Keywords can include distinguishing aspects of data collection, such as location(s) and time(s), as well as subject matter.