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New Crowdin updates (#188)
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* New translations road-map.md (French)

* New translations road-map.md (Arabic)

* New translations road-map.md (Italian)

* New translations road-map.md (Japanese)

* New translations road-map.md (Russian)

* New translations connected-systems.md (Chinese Simplified)

* New translations faq.md (Chinese Simplified)

* New translations how-to.md (Chinese Simplified)

* New translations road-map.md (Chinese Simplified)

* New translations faq.md (Chinese Traditional)

* New translations how-to.md (Chinese Traditional)

* New translations road-map.md (Chinese Traditional)

* New translations specimensearch.md (Spanish)
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---

## 1. Continue work with the community as well as exiting platforms to update and grow data and improve interoperability
## 1. Continue work with the community as well as existing platforms to update and grow data and improve interoperability

We aim to keep supporting our community of editors, train and welcome new editors as well as work with other data holding platforms (such as CETAF and ALA) to improve the data available in GRSciColl.

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lang-ref: specimen/search
title: Búsqueda de ejemplares
description: Buscar todos los ejemplares
layout: registro biológico
layout: occurrence
---

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## 1. Continue work with the community as well as exiting platforms to update and grow data and improve interoperability
## 1. Continue work with the community as well as existing platforms to update and grow data and improve interoperability

We aim to keep supporting our community of editors, train and welcome new editors as well as work with other data holding platforms (such as CETAF and ALA) to improve the data available in GRSciColl.

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## 1. Continue work with the community as well as exiting platforms to update and grow data and improve interoperability
## 1. Continue work with the community as well as existing platforms to update and grow data and improve interoperability

We aim to keep supporting our community of editors, train and welcome new editors as well as work with other data holding platforms (such as CETAF and ALA) to improve the data available in GRSciColl.

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## 1. Continue work with the community as well as exiting platforms to update and grow data and improve interoperability
## 1. Continue work with the community as well as existing platforms to update and grow data and improve interoperability

We aim to keep supporting our community of editors, train and welcome new editors as well as work with other data holding platforms (such as CETAF and ALA) to improve the data available in GRSciColl.

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## 1. Continue work with the community as well as exiting platforms to update and grow data and improve interoperability
## 1. Continue work with the community as well as existing platforms to update and grow data and improve interoperability

We aim to keep supporting our community of editors, train and welcome new editors as well as work with other data holding platforms (such as CETAF and ALA) to improve the data available in GRSciColl.

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## How to share collection descriptors

We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. In the meantime, please refer to this tutorial here: https://data-blog.gbif.org/post/grscicoll-collection-descriptors/
We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. We are working on improving the documentation. In the meantime, please refer to this tutorial here: https://data-blog.gbif.org/post/grscicoll-collection-descriptors/
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## 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. Support structured collection descriptors

The GBIF Secretariat, in collaboration with our community, is developing a training module for GRSciColl editors. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content. The GBIF Secretariat, in collaboration with our community, is developing a training module for GRSciColl editors. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content.
The GBIF Secretariat, in collaboration with our community, is developing a training module for GRSciColl editors. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content. The GBIF Secretariat, in collaboration with our community, is developing a training module for GRSciColl editors. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content. The GBIF Secretariat, in collaboration with our community, is developing a training module for GRSciColl editors. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content. This module aims to cover everything a National GRSciColl editor might need to curate and edit GRSciColl content.

The goal is to organize at least one online training event in 2025.

We would also provide support for anyone interested in organizing training or GRSciColl curation sessions based on the module content.

## 3. 3. 3. 3. 3. 3. 3. Institutional surveys

A lot of the GRSciColl content is not standardized and lives in various free text fields. A lot of the GRSciColl content is not standardized and lives in various free text fields. For example, many entomology collections can only be found by using a combination of keywords like “entomology” and “insect” in free text searches. A lot of the GRSciColl content is not standardized and lives in various free text fields. For example, many entomology collections can only be found by using a combination of keywords like “entomology” and “insect” in free text searches.
A lot of the GRSciColl content is not standardized and lives in various free text fields. A lot of the GRSciColl content is not standardized and lives in various free text fields. For example, many entomology collections can only be found by using a combination of keywords like “entomology” and “insect” in free text searches. A lot of the GRSciColl content is not standardized and lives in various free text fields. For example, many entomology collections can only be found by using a combination of keywords like “entomology” and “insect” in free text searches. A lot of the GRSciColl content is not standardized and lives in various free text fields. For example, many entomology collections can only be found by using a combination of keywords like “entomology” and “insect” in free text searches.

With the help of the relevant communities, we would like to identify collections that belong to defined disciplines and topics and make them discoverable by adding relevant collection descriptors. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections.
With the help of the relevant communities, we would like to identify collections that belong to defined disciplines and topics and make them discoverable by adding relevant collection descriptors. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections. With the help of the relevant communities, we would like to identify collections that belong to defined disciplines and topics and make them discoverable by adding relevant collection descriptors. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections. Examples of such collections would be entomology, mammalogy, phycology and ornithology collections.

One avenue to explore to improve the representation of these collections is to extract collections mentioned in publications such as this one: https://doi.org/10.1643/ASIHCODONS2020.

Alongside this work, we would implement a vocabulary for the Latimer Core term objectClassificationName most likely based on the topics developed by DISSCO (see also this GitHub issue: https://github.com/gbif/vocabulary/issues/157).

## 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. 4. A new user interface for GRSciColl

Collections are often cited in publications but not always in a standardized manner. It might later be difficult to link a collection to its citation. Collections are often cited in publications but not always in a standardized manner. It might later be difficult to link a collection to its citation. It might later be difficult to link a collection to its citation.
Collections are often cited in publications but not always in a standardized manner. It might later be difficult to link a collection to its citation. Collections are often cited in publications but not always in a standardized manner. It might later be difficult to link a collection to its citation. It might later be difficult to link a collection to its citation. Collections are often cited in publications but not always in a standardized manner. It might later be difficult to link a collection to its citation. It might later be difficult to link a collection to its citation.

We will work with the community and journals, when possible, to agree on best practice for citation of collections. We will work with the community and journals, when possible, to agree on best practice for citation of collections. The goal is to facilitate citing a collection and linking specimens coming from PLAZI processed publications to GRSciColl. We will work with the community and journals, when possible, to agree on best practice for citation of collections. The goal is to facilitate citing a collection and linking specimens coming from PLAZI processed publications to GRSciColl.
We will work with the community and journals, when possible, to agree on best practice for citation of collections. We will work with the community and journals, when possible, to agree on best practice for citation of collections. The goal is to facilitate citing a collection and linking specimens coming from PLAZI processed publications to GRSciColl. We will work with the community and journals, when possible, to agree on best practice for citation of collections. We will work with the community and journals, when possible, to agree on best practice for citation of collections. The goal is to facilitate citing a collection and linking specimens coming from PLAZI processed publications to GRSciColl. We will work with the community and journals, when possible, to agree on best practice for citation of collections. The goal is to facilitate citing a collection and linking specimens coming from PLAZI processed publications to GRSciColl.

A second aspect of this work will be to set up guidelines for institutions who wish to share bibliographic references and citations of their collections on GRSciColl.

2 changes: 1 addition & 1 deletion zh/connected-systems.md

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