datacite · KellyStathis · Jul 23, 2025 · Jul 30, 2025 · Jul 30, 2025 · Jul 30, 2025
diff --git a/source/_four.html.md.erb b/source/_four.html.md.erb
@@ -1,11 +1,10 @@
-## Metadata Schema 4.6
+## Metadata Schema 4.7
 
-Released <%= Date.parse("2024-12-05").strftime("%-d %b %Y") %>. Changes in this version include:
+Released <%= Date.parse("2026-03-31").strftime("%-d %b %Y") %>. Changes in this version include:
 
-* New resourceTypeGeneral values: Award and Project
-* New relatedIdentifierType values: CSTR and RRID
-* New relationType pair: IsTranslationOf and HasTranslation
-* New contributorType: Translator
-* New dateType: Coverage
+* New resourceTypeGeneral values: Poster and Presentation
+* New relatedIdentifierType values: RAiD and SWHID
+* New relationType value: Other
+* New relationTypeInformation sub-property of RelatedIdentifier and RelatedItem 
 
-<a href="/meta/kernel-4.6/" class="btn">More info</a>
+<a href="/meta/kernel-4.7/" class="btn">More info</a>
diff --git a/source/_versions.html.md.erb b/source/_versions.html.md.erb
@@ -1,5 +1,16 @@
 ## DataCite Metadata Schema 4
 
+### [DataCite Metadata Schema 4.7](/meta/kernel-4.7/)
+
+Released <%= Date.parse("2026-03-31").strftime("%-d %b %Y") %>. Changes in this version include:
+
+* Addition of new resourceTypeGeneral values: Poster and Presentation
+* Addition of new relatedIdentifierType values: RAiD and SWHID
+* Addition of new relationType value: Other
+* Addition of new relationTypeInformation sub-property of RelatedIdentifier and RelatedItem 
+
+<hr/>
+
 ### [DataCite Metadata Schema 4.6](/meta/kernel-4.6/)
 
 Released <%= Date.parse("2024-12-05").strftime("%-d %b %Y") %>. Changes in this version include:

diff --git a/source/meta/kernel-4.7/example/datacite-example-audiovisual-v4.xml b/source/meta/kernel-4.7/example/datacite-example-audiovisual-v4.xml
@@ -0,0 +1,42 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xmlns="http://datacite.org/schema/kernel-4"
+    xsi:schemaLocation="http://datacite.org/schema/kernel-4 https://schema.datacite.org/meta/kernel-4/metadata.xsd">
+    <identifier identifierType="DOI">10.82433/9jbk-4c28</identifier>
+    <creators>
+        <creator>
+            <creatorName nameType="Personal">Garcia, Sofia</creatorName>
+            <givenName>Sofia</givenName>
+            <familyName>Garcia</familyName>
+            <nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">
+                https://orcid.org/0000-0001-5727-2427</nameIdentifier>
+            <affiliation affiliationIdentifier="https://ror.org/03efmqc40"
+                affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Arizona State
+                University</affiliation>
+        </creator>
+    </creators>
+    <titles>
+        <title xml:lang="en">DOIs in Action: Making Presentations More Discoverable</title>
+    </titles>
+    <publisher>International Metadata Forum</publisher>
+    <publicationYear>2025</publicationYear>
+    <dates>
+        <date dateType="Issued">2025-08-11</date>
+    </dates>
+    <resourceType resourceTypeGeneral="Audiovisual">Conference presentation recording</resourceType>
+    <relatedIdentifiers>
+        <relatedIdentifier relatedIdentifierType="URL" relationType="Other"
+            relationTypeInformation="was presented at">https://example.org/metadata-forum-2025</relatedIdentifier>
+        <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVariantFormOf"
+            resourceTypeGeneral="Presentation">10.82433/v14f-gk24</relatedIdentifier>
+    </relatedIdentifiers>
+    <language>en</language>
+    <descriptions>
+        <description xml:lang="en" descriptionType="Abstract">Conference presentations are often
+            overlooked in discovery and citation systems. This presentation demonstrates practical
+            workflows for assigning DOIs to presentations, linking them to related datasets and
+            publications, and embedding identifiers in slide decks for easy sharing. By applying
+            these strategies, researchers can increase the visibility, impact, and reusability of
+            their talks beyond the event itself.</description>
+    </descriptions>
+</resource>
diff --git a/source/meta/kernel-4.7/example/datacite-example-award-v4.xml b/source/meta/kernel-4.7/example/datacite-example-award-v4.xml
@@ -0,0 +1,51 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 https://schema.datacite.org/meta/kernel-4/metadata.xsd">
+    <identifier identifierType="DOI">10.82433/p1zt-4c67</identifier>
+    <creators>
+        <creator>
+            <creatorName nameType="Organizational">The Research Trust</creatorName>
+            <nameIdentifier nameIdentifierScheme="ROR" schemeURI="https://ror.org">https://ror.org/12abcde34</nameIdentifier>
+        </creator>
+    </creators>
+    <titles>
+        <title>Enhancing metadata for inclusive research on entrenched disadvantage</title>
+    </titles>
+    <publisher publisherIdentifier="https://ror.org/12abcde34" publisherIdentifierScheme="ROR" schemeURI="https://ror.org">The Research Trust</publisher>
+    <publicationYear>2024</publicationYear>
+    <resourceType resourceTypeGeneral="Award">Grant</resourceType>
+    <contributors>
+        <contributor contributorType="ProjectLeader">
+            <contributorName nameType="Personal">Garcia, Sofia</contributorName>
+            <givenName>Sofia</givenName>
+            <familyName>Garcia</familyName>
+            <nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">https://orcid.org/0000-0001-5727-2427</nameIdentifier>
+            <affiliation affiliationIdentifier="https://ror.org/03efmqc40" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Arizona State University</affiliation>
+        </contributor>
+        <contributor contributorType="ProjectLeader">
+            <contributorName nameType="Organizational">Arizona State University</contributorName>
+            <nameIdentifier nameIdentifierScheme="ROR" schemeURI="https://ror.org">https://ror.org/03efmqc40</nameIdentifier>
+        </contributor>
+    </contributors>
+    <dates>
+        <date dateType="Issued">2024-08-01</date>
+        <date dateType="Valid">2025-01-01/2027-12-31</date>
+        <date dateType="Updated" dateInformation="Extended">2028-01-01/2029-12-31</date>
+    </dates>
+    <sizes>
+        <size>900000 USD</size>
+    </sizes>
+    <descriptions>
+        <description descriptionType="Abstract">This funding award supports a project aimed at improving metadata practices to facilitate inclusive research on issues of entrenched disadvantage. The project focuses on creating robust, standardized metadata that accurately represents diverse populations and contexts.</description>
+    </descriptions>
+    <alternateIdentifiers>
+        <alternateIdentifier alternateIdentifierType="URL">https://grants.net/123456</alternateIdentifier>
+    </alternateIdentifiers>
+    <fundingReferences>
+        <fundingReference>
+            <funderName>The Research Trust</funderName>
+            <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/501100012345</funderIdentifier>
+            <awardNumber>123456</awardNumber>
+            <awardTitle>Enhancing metadata for inclusive research on entrenched disadvantage</awardTitle>
+        </fundingReference>
+    </fundingReferences>
+</resource>
diff --git a/source/meta/kernel-4.7/example/datacite-example-coverage-v4.xml b/source/meta/kernel-4.7/example/datacite-example-coverage-v4.xml
@@ -0,0 +1,49 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 https://schema.datacite.org/meta/kernel-4/metadata.xsd">
+    <identifier identifierType="DOI">10.82433/pgk2-ar97</identifier>
+    <creators>
+        <creator>
+            <creatorName nameType="Organizational">European Social Fund/DABURH, Department of History, Leiden University</creatorName>
+            <nameIdentifier nameIdentifierScheme="ROR" schemeURI="https://ror.org">https://ror.org/027bh9e22</nameIdentifier>
+        </creator>
+    </creators>
+    <titles>
+        <title xml:lang="en">Amsterdam immigrants, 1578-1810</title>
+        <title xml:lang="en" titleType="AlternativeTitle">Simon Hart database</title>
+    </titles>
+    <publisher>DANS Data Station Social Sciences and Humanities</publisher>
+    <publicationYear>1995</publicationYear>
+    <resourceType resourceTypeGeneral="Dataset" />
+    <subjects>
+        <subject>historical demography</subject>
+        <subject>immigration</subject>
+        <subject>Arts and Humanities</subject>
+    </subjects>
+    <descriptions>
+        <description descriptionType="Abstract">This dataset contains information about the number and origin of the Amsterdam immigrants in the period 1578-1810. The data are subdivided in total, male and female, per region or place of origin. The dataset is based on lists compiled by the Amsterdam archivist dr. Simon Hart and his colleagues between 1960 and 1979.</description>
+    </descriptions>
+    <contributors>
+        <contributor contributorType="ContactPerson">
+            <contributorName>Data Station Admin</contributorName>
+            <affiliation affiliationIdentifier="https://ror.org/008pnp284" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org/">Data Archiving and Networked Services (DANS)</affiliation>
+        </contributor>
+    </contributors>
+    <dates>
+        <date dateType="Coverage">1578-01-01/1810-12-31</date>
+        <date dateType="Collected">1995-03-01/1995-11-29</date>
+    </dates>
+    <language>nl</language>
+    <alternateIdentifiers>
+        <alternateIdentifier alternateIdentifierType="NHDA">D0049</alternateIdentifier>
+        <alternateIdentifier alternateIdentifierType="DANS-KNAW">easy-dataset:36690</alternateIdentifier>
+    </alternateIdentifiers>
+    <geoLocations>
+        <geoLocation>
+            <geoLocationPlace>Amsterdam</geoLocationPlace>
+            <geoLocationPoint>
+                <pointLatitude>52.377956</pointLatitude>
+                <pointLongitude>4.897070</pointLongitude>
+            </geoLocationPoint>
+        </geoLocation>
+    </geoLocations>
+</resource>
diff --git a/source/meta/kernel-4.7/example/datacite-example-dataset-v4.xml b/source/meta/kernel-4.7/example/datacite-example-dataset-v4.xml
@@ -0,0 +1,80 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!-- Example: Dataset -->
+<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 https://schema.datacite.org/meta/kernel-4/metadata.xsd">
+  <identifier identifierType="DOI">10.82433/9184-DY35</identifier>
+  <creators>
+    <creator>
+      <creatorName nameType="Organizational">National Gallery</creatorName>
+      <nameIdentifier nameIdentifierScheme="ROR" schemeURI="https://ror.org">https://ror.org/043kfff89</nameIdentifier>
+    </creator>
+  </creators>
+  <titles>
+    <title xml:lang="en">External Environmental Data, 2010-2020, National Gallery</title>
+  </titles>
+  <publisher xml:lang="en" publisherIdentifier="https://ror.org/043kfff89" publisherIdentifierScheme="ROR" schemeURI="https://ror.org/">National Gallery</publisher>
+  <publicationYear>2022</publicationYear>
+  <resourceType resourceTypeGeneral="Dataset">Environmental data</resourceType>
+  <subjects>
+    <subject subjectScheme="Fields of Science and Technology (FOS)" schemeURI="http://www.oecd.org/science/inno/38235147.pdf">FOS: Earth and related environmental sciences</subject>
+    <subject subjectScheme="Wikidata" schemeURI="https://www.wikidata.org/wiki" valueURI="https://www.wikidata.org/wiki/Q11466">temperature</subject>
+    <subject subjectScheme="Art and Architecture Thesaurus" schemeURI="http://vocab.getty.edu/aat" valueURI="http://vocab.getty.edu/aat/300192097">relative humidity</subject>
+    <subject subjectScheme="Wikidata" schemeURI="https://www.wikidata.org/wiki" valueURI="https://www.wikidata.org/wiki/Q194411">illuminance</subject>
+    <subject subjectScheme="Art and Architecture Thesaurus" schemeURI="http://vocab.getty.edu/aat" valueURI="http://vocab.getty.edu/aat/300379432">moisture content</subject>
+    <subject subjectScheme="FAST" schemeURI="http://id.worldcat.org/fast" valueURI="http://id.worldcat.org/fast/913214">Environmental monitoring</subject>
+  </subjects>
+  <contributors>
+    <contributor contributorType="ContactPerson">
+      <contributorName nameType="Personal">Padfield, Joseph</contributorName>
+      <givenName>Joseph</givenName>
+      <familyName>Padfield</familyName>
+      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-2572-6428</nameIdentifier>
+      <affiliation affiliationIdentifier="https://ror.org/043kfff89" affiliationIdentifierScheme="ROR">National Gallery</affiliation>
+    </contributor>
+    <contributor contributorType="DataCollector">
+      <contributorName nameType="Organizational">Building Facilities Department</contributorName>
+      <affiliation affiliationIdentifier="https://ror.org/043kfff89" affiliationIdentifierScheme="ROR">National Gallery</affiliation>
+    </contributor>
+  </contributors>
+  <dates>
+    <date dateType="Collected">2010/2020</date>
+    <date dateType="Other" dateInformation="Coverage">2010/2020</date>
+    <date dateType="Issued">2022</date>
+  </dates>
+  <language>en</language>
+  <relatedIdentifiers>
+    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo" resourceTypeGeneral="Report">https://www.nationalgallery.org.uk/research/research-resources/research-papers/improving-our-environment</relatedIdentifier>
+    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSourceOf" resourceTypeGeneral="InteractiveResource">https://research.ng-london.org.uk/scientific/env/</relatedIdentifier>
+    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementedBy" resourceTypeGeneral="JournalArticle">10.1080/00393630.2018.1504449/</relatedIdentifier>
+    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsDocumentedBy" resourceTypeGeneral="ConferencePaper">10.5281/zenodo.7629200</relatedIdentifier>
+  </relatedIdentifiers>
+  <sizes>
+    <size>13.6 MB</size>
+  </sizes>
+  <formats>
+    <format>application/json</format>
+  </formats>
+  <version>1.0</version>
+  <rightsList>
+    <rights xml:lang="en" schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0" rightsURI="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution Non Commercial 4.0 International</rights>
+  </rightsList>
+  <descriptions>
+    <description xml:lang="en" descriptionType="Abstract">The National Gallery houses one of the greatest ‒ and most visited ‒ collections of Western European painting, often welcoming more than 6 million visitors a year. The Scientific Department researches the history of materials and techniques and their degradation mechanisms (fading, darkening, etc.), through analysis using a range of micro-analytical and imaging methods. It also works in the fields of preventive conservation and environmental management of galleries (monitoring, lighting, vibration), as well as the development of a wide range of new instruments and methods (both analytical and imaging) for technical examination of artworks, most often in collaboration with universities. The examination of the environmental conditions within The National Gallery began soon after it was established in 1824. Early concerns often related to dust and pollution. The first electronic data logger, recording light levels, was introduced in 1975, with the regular logging of temperature and relative humidity followed soon after. Today the Gallery has hundreds of sensors, monitoring the environmental conditions in over hundreds of locations, 24/7. The National Gallery currently archives millions of environmental readings every year, which are used to monitor the Gallery conditions ensuring the on-going care of the collections. These readings are also used to examine long term environmental trends, manage additional events, and within the planning and management of preventive conservation work and research at the National Gallery. The National Gallery Environmental Database is an internal, bespoke system which has been developed, over the last 20 years, to act as an archive for all of these environmental readings. This dataset contains a selected range of the data gathered from a few of the external sensors that have been used to monitor ambient light levels, temperature, relative humidity and air moisture content 24 hours a day, 7 days a week over the last two decades.</description>
+  </descriptions>
+  <geoLocations>
+    <geoLocation>
+      <geoLocationPlace>Roof of National Gallery, London, UK</geoLocationPlace>
+      <geoLocationPoint>
+        <pointLatitude>51.50872</pointLatitude>
+        <pointLongitude>-0.12841</pointLongitude>
+      </geoLocationPoint>
+    </geoLocation>
+  </geoLocations>
+  <fundingReferences>
+    <fundingReference>
+      <funderName>H2020 Excellent Science</funderName>
+      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100010662</funderIdentifier>
+      <awardNumber awardURI="https://cordis.europa.eu/project/id/871034">871034</awardNumber>
+      <awardTitle>Integrating Platforms for the European Research Infrastructure ON Heritage Science</awardTitle>
+    </fundingReference>
+  </fundingReferences>
+</resource>