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Search guide

This guide explains how to write advanced search queries using easy to understand examples.

Simple search (one or multiple terms)

Example: open science

Results will match records with the terms open or science in any field. Note that stemming is applied so e.g. science will also match sciences. Search results are ranked according to an algorithm that takes your query terms into account.

You can require presence of both terms using either the + or AND operator:

Examples: +open +science or open AND science

You can require absence of one or more terms using either the - or NOT operator:

Examples: -open +science or NOT open AND science

Phrase search

Example: "open science"

Results will match records with the phrase open science in any field.

Field search

Example: metadata.title:open

Results will match records with the term open in the field metadata.title. If you want to search for multiple terms in the title you must group the terms using parenthesis:

Example: metadata.title:(open science)

See the field reference below for the full list of fields you can search.

Combined simple, phrase or field search

Example: +metadata.title:"open science" -metadata.title:policy or e.g. metadata.title:(-open +science)

You can combine simple, phrase and field search to construct advanced search queries.

Range search

Example: metadata.publication_date:[2017 TO 2018] (note, you must capitalize TO).

Results will match any record with a publication date between 2017-01-01 and 2018-01-01 (both dates inclusive).

Note that, partial dates are expanded to full dates, e.g.:

Use square brackets ([]) for inclusive ranges and use curly brackets ({}) for exclusive ranges, e.g.:

Examples of other ranges:

Ranking/Sorting

By default all searches are sorted according to an internal ranking algorithm that scores each match against your query. In both the user interface and REST API, it's possible to sort the results by:

Regular expressions

Regular expressions are a powerful pattern matching language that allow to search for specific patterns in a field. For instance if we wanted to find all records with a DOI-prefix 10.5281 we could use a regular expression search:

Example: metadata.subjects.identifier:/03yrm5c2[1,6]/

Careful, the regular expression must match the entire field value. See the regular expression syntax for further details.

Missing values

It is possible to search for records that either are missing a value or have a value in a specific field using the _exists_ and _missing_ field names.

Example: _missing_:metadata.additional_titles (all records without metadata.additional_titles)

Example: _exists_:metadata.creators (all records with metadata.creators)

Advanced concepts

Boosting

You can use the boost operator ^ when one term is more relevant than another. For instance, you can search for all records with the phrase open science in either title or description field, but rank records with the phrase in the title field higher:

Example: metadata.title:"open science"^5 metadata.description:"open science"

Fuzziness

You can search for terms similar to but not exactly like your search term using the fuzzy operator ~.

Example: oepn~

Results will match records with terms similar to oepn which would e.g. also match open.

Proximity searches

A phrase search like "open science" by default expect all terms in exactly the same order, and thus for instance would not match a record containing the phrase "open access and science". A proximity search allows that the terms are not in the exact order and may include other terms inbetween. The degree of flexiblity is specified by an integer afterwards:

Example: "open science"~5

Wildcards

You can use wildcards in search terms to replace a single character (using ? operator) or zero or more characters (using * operator).

Example: ope? scien*

Wildcard searches can be slow and should normally be avoided if possible.

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