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Grant team members and other stakeholders the ability to login and explore datasets in the Onboarder without giving them editing or publication privileges.

Viewers can:

• View both finalized and draft datasets

• View both public and private datasets

Viewers cannot:

• Edit datasets

• Delete datasets

• Publish datasets

Search for an exact phrase:
"search term"
Searches for the exact phrase in quotation marks in any field.

Examples:

• "2011 census"

• "carbon dioxide"
  

Search in a specific field:
fieldname:term
Searches for the term specifically in a selected field. Some examples of field names can be found in the table below. Generally they are structured as sectionname.fieldname.

Examples:

• summary.title:census

• summary.abstract:"linked data resource"

Search for words in proximity of each other:

“term1 term 2”~3
Searches for terms within a specified distance of each other.

For example, "2011 Benefits"~3 matches "term1" and "term2" within 3 words of each other.

Examples:

• "2011 Benefits"~3

Search for values in a specific range:

fieldname:[value1 TO value2]

Searches for values within a specified range.

Examples:

• coverage.temporal.startDate:[2005-03-27 TO 2011-03-27]

Wildcard Queries:
term*: Matches terms that start with "term", followed by any characters.
*term*: Matches terms that contain "term" anywhere within them.

Examples:

• corona*

• *audit*

Search with boolean operators:

We now support the three basic boolean operators:

• term1 AND term2: returns results that contain both term1 and term2.

• term1 OR term2: return results that contain either term1 or term2.

• term1 NOT term2: return results that contain term1 but exclude those that contain term2.

Examples:

• Cancer AND tumour sample

• COVID OR coronavirus

• Wales NOT England

Field Boosting:
title:term^2:
Use this to give higher weight or importance to matches found in the title field.

Examples:

• title:2022^2

• title:NHS^2

Fuzzy Matching:

Fuzzy search is a search technique used to retrieve results that are relevant to a user's query even if the query terms do not match exactly. It is particularly useful when dealing with typographical errors, misspellings, or variations in word forms.

term~: Performs a fuzzy search for terms similar to "term" using edit distance.
term~0.8: Adjusts the fuzziness level to 0.8 for more lenient matching.

Examples:

• health~

• liver~0.8