Changes for page Data Curation

Last modified by abonard on 2025/06/03 10:55

From 193.1 to 194.1 From 218.1 to 219.1

From version 194.1

edited by ingrreit
on 2023/06/14 09:01

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To version 218.1

edited by lzehl
on 2024/05/06 09:51

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@@ -1,1 +1,1 @@
--test-ir2
++Data Curation

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--CollabClass
++Collabs.WebHome

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--XWiki.ingrreit
++XWiki.lzehl

Content

@@ -17,9 +17,9 @@
  {{/html}}
--== Publishing neuroscience data, models and software via EBRAINS ==
++(% class="wikigeneratedid" id="HPublishingneurosciencedata2CmodelsandsoftwareviaEBRAINS" %)
++(% style="font-size:2em" %)**Publishing neuroscience data, models and software via EBRAINS**
--
  (% class="wikigeneratedid" %)
  The aim of this collab is to provide you with detailed information about publishing data, simulations, computational models, and software via EBRAINS. If you want a quick overview of the sharing process, see [[https:~~/~~/ebrains.eu/service/share-data>>https://ebrains.eu/service/share-data]].
@@ -67,7 +67,9 @@
  The curation of data, models and software is different. Thus, below we explain the process for sharing for each research product separately.
++**Before you get started, make sure you[[ sign up for a free EBRAINS account>>https://www.ebrains.eu/page/sign-up]]. This is needed to complete the data sharing process. **
++
  ----
  === Step by step - Data ===
@@ -83,8 +83,6 @@
  //to share data on EBRAINS: //
  // //
  [[[[image:image-20230324171114-2.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
--
--
  )))
@@ -106,10 +106,20 @@
  ==== **2. Upload data ** ====
++(% class="box floatinginfobox" id="share-data-infographic" %)
++(((
++(% style="text-align:center" %)
++//Download our infographic//
++//with guidelines
++on data organization: //
++(% style="text-align:center" %)
++[[[[image:image-20230621121014-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/lib/f5cf4964-f095-49bd-8c34-e4ffda05a497/file/ebrains-infographic-data-organisation.pdf/]]
++)))
++
  (% style="margin-right:10px" %)[[image:https://lh5.googleusercontent.com/sieKO-kW8O18iPaUyonwyo4UfHBmtc2E9BDnjbx52j6J_uGmm-OzGAo7sloMk3sYwKa6QW3hYQsOA9N4H7uGQpca088Wrk0Nurpt_J3B0-NSbcaPNdZIh21otQcG6jnAxLGiKoEvkTyaDGTMk3fu7me8mQ=s2048||height="94px;" width="94px;"]](%%)**Ensure data is structured consistently prior to upload. **
--We look for organized data, not organized according to our standard. This is to support the broadest degree of sharing possible. We do however require that the data is organized in a consistent and precise manner. Please see our// //[[collection of guidelines on data organization>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] for further guidance.
++We look for organized data, not organized according to our standard. This is to support the broadest degree of sharing possible. We do however require that the data is organized in a consistent and precise manner. Please see our// //[[guidelines on data organization>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] for further guidance.
  (% style="margin-right:10px" %)[[image:https://lh5.googleusercontent.com/EWtYwfVlbeC-jqPasgmzidqc50GrkKIEgwXeUeql8aaMHIukmFdWEy0nufVWWATbxDDK3XwwZEDmASrbpCsBk1u0HpAd8x4ZgAMsMPRcWyrb9etlV6FgKE_QN2e6SqKxHE0rzkR8uI1rRW_5z21TFGYVnw=s2048||height="91px;" width="91px;"]](%%)**Upload data to EBRAINS Storage, either using a drag-and-drop solution (opt. 1) or an interactive python script (opt. 2).**
@@ -136,7 +136,7 @@
  * [[Fairgraph>>https://fairgraph.readthedocs.io/en/stable/]]: This is the recommended software tool for programmatic interaction with the KG. It allows you to programmatically upload openMINDS compliant metadata into your KG space and interact with existing metadata.
  * [[KG Core Python SDK>>https://github.com/HumanBrainProject/kg-core-sdks]]: This python package gives you full freedom in interacting with he KG. It allows you to upload any JSON-LD with metadata into your private space. Note, for dataset publications in EBRAINS, the JSON-LD metadata files have to comply to openMINDS.
--Datasets published through the EBRAINS Knowledge Graph have to be registered using **openMINDS compliant metadata** delivered as JSON-LD files. See this summary table for an overview of [[the minimally required openMINDS properties for publishing>>https://drive.ebrains.eu/lib/47995dbc-f576-4008-a76c-eefbfd818529/file/ebrains-minimum-required-metadata.xlsx]] on EBRAINS.
++Datasets published through the EBRAINS Knowledge Graph have to be registered using **openMINDS compliant metadata** delivered as JSON-LD files. See this summary table for an overview of [[the minimally required openMINDS properties for publishing>>https://drive.ebrains.eu/f/3e226ad165054b35b456/||rel="noopener noreferrer" target="_blank"]] on EBRAINS.
  ==== **4. Write a Data Descriptor** ====
@@ -157,12 +157,11 @@
  (% class="box floatinginfobox" id="data-descriptor-infographic" %)
  (((
  (% style="text-align:center" %)
--//Download our infographic: //
--//The EBRAINS Data//
--//Descriptor at a glance//
++//Download our infographic
++about the EBRAINS Data//
++//Descriptor//
  // //
  [[[[image:image-20230324171109-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
--
  )))
  ==== **5. Preview and publish** ====
@@ -173,49 +173,96 @@
  Once a Curator has assembled the dataset in the EBRAINS Knowledge Graph, combining the data, metadata and data descriptor, the data provider will receive a private URL for previewing the dataset prior to release. We need an official approval from the data custodian{{footnote}}The Data Custodian is responsible for the content and quality of the Data and metadata, and is the person to be contacted by EBRAINS CS in case of any misconduct related to the Data. It is the obligation of a Data Custodian to keep EBRAINS informed about changes in the contact information of the authors of the Datasets provided by them ([[EBRAINS Data Provision Protocol - version 1.1>>https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]]).{{/footnote}} to release the dataset. Once released, a [[DataCite DOI>>https://datacite.org/]] will be generated for the dataset. If the identical data collection has received a DOI elsewhere, we recommend re-using the already issued DOI.
++
++
  ----
--====  ====
++=== Step by Step - Models ===
--==== **Sharing human subject data** ====
--(% class="box floatinginfobox" %)
--(((
--**Human subject data that can be shared on EBRAINS:**
--// //
--// - Post-mortem data//
--// - Aggregated data//
--// - Strongly pseudonymized or de-identified subject data//
--//   with a legal basis for sharing (e.g. Informed Consent)//
--// //
++==== 1. Start early ====
--(% class="small" %)
--//If you have human data that does not qualify as any of the above,//
--//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
--)))
++It is not necessary to wait until you are ready to publish to register your model with EBRAINS.
++By registering a model early in your project, you can take advantage of EBRAINS tools
++to keep track of simulations and to share them with your collaborators.
--Human subject data shared on EBRAINS must comply with [[GDPR >>https://gdpr-info.eu/]]and [[EU directives>>https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32010L0063]]. The information we need to assess this is collected via our [[Ethics and Regulatory Compliance Survey>>https://nettskjema.no/a/224765]].
++==== 2. Create/choose a Collab workspace ====
--Post-mortem and aggregated human data can be shared openly, given direct identifiers in the metadata are removed. Strongly pseudonymized and de-identified data can be shared via the Human Data Gateway (HDG).
++We use EBRAINS Collaboratory "collab" workspaces to help manage the model curation process.
--The Human Data Gateway (HDG) was introduced in February 2021 as a response to the needs of multiple data providers who are bringing human subject data to EBRAINS. HDG covers the sharing of strongly pseudonymized or de-identified data, a limited range human subject data without direct identifiers and with very few indirect identifiers.
++In particular, we use collab membership (the "Team") to control who can view or edit your model metadata prior to publication.
--The HDG adds an an authentication layer on top of the data. This means that **data users **must request access to the data (via their EBRAINS account) and will receive access provided they actively accept the [[EBRAINS Access Policy>>https://ebrains.eu/terms#access-policy]], the [[EBRAINS General Terms of Use>>https://ebrains.eu/terms#general-terms-of-use]], and the [[EBRAINS Data Use Agreement>>https://ebrains.eu/terms#data-use-agreement]]. The account holder also have to accept that information about their request and access to specific data under HDG is being tracked and stored. **Data owners** must be aware that sharing under the HDG affects the legal responsibilities for the data. They must agree to joint control of the data (see the [[Data Provision Protocol v1>>url:https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]], section 1.4 - 1.5) and the Data Protection Officers of the responsible institutions must have accepted that the data can be shared under HDG.
++It is up to you whether you create a new collab for each model, or reuse an existing collab
++(it is no problem to have multiple models associated with a single collab).
--The HDG is an extension of the existing services and does not replace the future EBRAINS Service for sensitive data (planned for 2024) which is outside the domain of the current EBRAINS Data and Knowledge services.
++Collabs are also useful for storing simulation results, adding documentation for your model,
++and/or providing tutorials in Jupyter notebooks.
++==== 3. Upload code ====
------
++We recommend storing model code and/or configuration files in an online Git repository, for example on GitHub.
++This repository should be public when you publish the model, but a private repository can be used for model development.
--=== Step by Step - Models ===
++Alternatively, you can upload code to the Collab Drive or Bucket storage.
++==== 4.Submit metadata ====
--~1. Request curation using the [[Curation request form>>https://nettskjema.no/a/277393#/]]. You will be contacted by a curator with more information.
++We recommend submitting metadata using the Model Catalog app, installed in your collab.
++To install it:
--//Additional information will be added soon.//
++1. click the "+ Create" button
++1. in the "Create Page" form, add a title, such as "Model Catalog", and select "Community App", then click "Create"
++1. scroll down until you find the "Model Catalog" app, click "Select", then "Save & View"
++You will then see a table of all the models and validation tests associated with this collab.
++If this is your first time using the app, the table will probably be empty.
++To add your model, click "+", fill in the form, then click "Add model".
++
++As development of your model proceeds, you can easily register new versions of the code,
++and new parameterizations, by clicking "Add new version".
++
++If you prefer not to use the app, you can instead fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]].,
++and you will be contacted by e-mail with further instructions.
++
++==== 5. Provide a reference dataset ====
++
++Once you're ready to publish your model entry in the EBRAINS Knowledge Graph,
++we encourage you to provide a dataset containing the simulation results produced by your model,
++following the process under "Step by step - Data" above.
++
++These reference data will be linked to the model, and will be helpful to anyone trying to
++reuse your model.
++
++We will soon introduce a "Reproducible" badge for all models that include a reference dataset,
++and whose simulation results can be reproduced by an EBRAINS curator.
++
++==== 6. Request publication, preview and publish ====
++
++Until you request your model entry to be published in the EBRAINS Knowledge Graph,
++only members of the collab will be able to view the model entry, in the Model Catalog app
++or using the Model Validation Python client.
++
++After publication, the model will appear in the [[EBRAINS public search results>>https://search.kg.ebrains.eu/?category=Model||rel="noopener noreferrer" target="_blank"]], and will receive a DOI.
++
++To request publication, [[contact EBRAINS support>>https://ebrains.eu/support||rel="noopener noreferrer" target="_blank"]], providing the collab name and the model name or ID.
++
++
++Curators will then perform a number of checks:
++
++1.  Does the model description provide sufficient context to understand the purpose and use of the model?
++1.  Does the code repository contain a licence file, explaining the conditions for reusing the code?
++1.  Does the model have a clearly defined version identifier (e.g. v1.0)? For models in a Git repository, the version identifier should match the name of a tag or release.
++
++The curators will also take a snapshot of your model code.
++
++* For models in public Git repositories, we archive a copy of the repository in [[Software Heritage>>https://www.softwareheritage.org/||rel="noopener noreferrer" target="_blank"]].
++* For models in a collab Bucket or Drive, we make a read-only copy of the code in a public container in the EBRAINS repository.
++
++Once this is done, you will be invited to review a preview of how the model entry will appear in the KG Search,
++and will have the opportunity to request modifications prior to approval and publication.
++
  ----
  === Step by Step - Software ===
@@ -242,115 +242,57 @@
  ----
--== **The openMINDS metadata framework** ==
++=== Sharing human subject data ===
  (% class="box floatinginfobox" %)
  (((
--[[[[image:https://github.com/HumanBrainProject/openMINDS/raw/main/img/light_openMINDS-logo.png||alt="openMINDS logo" height="87" width="164"]]>>https://github.com/HumanBrainProject/openMINDS]]
++**Human subject data that can be shared on EBRAINS:**
++// //
++// - Post-mortem data//
++// - Aggregated data//
++// - Strongly pseudonymized or de-identified subject data//
++//   with a legal basis for sharing (e.g. Informed Consent)//
++// //
++
++(% class="small" %)
++//If you have human data that does not qualify as any of the above,//
++//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
  )))
--openMINDS (open Metadata Initiative for Neuroscience Data Structures) is a community-driven, open-source metadata framework for graph database systems, such as the EBRAINS Knowledge Graph. It is composed of linked metadata models, libraries of serviceable metadata instances, and supportive tooling ([[openMINDS Python>>url:https://pypi.org/project/openMINDS/]], openMINDS Matlab). For exploring the openMINDS schemas, go to the [[HTML documentation>>url:https://humanbrainproject.github.io/openMINDS/]]. For a full overview of the framework, go to [[the openMINDS collab>>url:https://wiki.ebrains.eu/bin/view/Collabs/openminds/]] or the [[GitHub repository>>https://github.com/HumanBrainProject/openMINDS]].
--For feedback, requests, or contributions, please get in touch with the openMINDS development team via
++Human subject data shared on EBRAINS must comply with [[GDPR >>https://gdpr-info.eu/]]and [[EU directives>>https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32010L0063]]. The information we need to assess this is collected via our [[Ethics and Regulatory Compliance Survey>>https://nettskjema.no/a/224765]].
--* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
--* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
--* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
++Post-mortem and aggregated human data can be shared openly, given direct identifiers in the metadata are removed. Strongly pseudonymized and de-identified data can be shared via the Human Data Gateway (HDG).
------
++The Human Data Gateway (HDG) was introduced in February 2021 as a response to the needs of multiple data providers who are bringing human subject data to EBRAINS. HDG covers the sharing of strongly pseudonymized or de-identified data, a limited range human subject data without direct identifiers and with very few indirect identifiers.
--== **The curation team: meet the curators** ==
++The HDG adds an an authentication layer on top of the data. This means that **data users **must request access to the data (via their EBRAINS account) and will receive access provided they actively accept the [[EBRAINS Access Policy>>https://ebrains.eu/terms#access-policy]], the [[EBRAINS General Terms of Use>>https://ebrains.eu/terms#general-terms-of-use]], and the [[EBRAINS Data Use Agreement>>https://ebrains.eu/terms#data-use-agreement]]. The account holder also have to accept that information about their request and access to specific data under HDG is being tracked and stored. **Data owners** must be aware that sharing under the HDG affects the legal responsibilities for the data. They must agree to joint control of the data (see the [[Data Provision Protocol v1>>url:https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]], section 1.4 - 1.5) and the Data Protection Officers of the responsible institutions must have accepted that the data can be shared under HDG.
--The EBRAINS curators help researchers publish their research using the EBRAINS Research Infrastructure. A curator’s job is similar to the job of an editor of a scientific journal, checking the data is organized, understandable, accessible and sufficiently described.
++The HDG is an extension of the existing services and does not replace the future EBRAINS Service for sensitive data (planned for 2024) which is outside the domain of the current EBRAINS Data and Knowledge services.
--The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris.
--
++----
--**Located in Norway:**
++== **The openMINDS metadata framework** ==
--|(% style="width:303px" %)(((
--[[image:My project2.jpg||height="209" width="167"]]
--
--**Archana Golla**
--
--(% class="small" %)Curation Scientist
--Neuroscience (PhD)(%%)
--(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
--)))|(% style="width:303px" %)(((
--[[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
--
--**Camilla H. Blixhavn**
--
--(% class="small" %)Curation Scientist,
--Phd Student
--Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
--)))|(% style="width:303px" %)(((
--[[image:My project (1).jpg||height="209" width="167"]]
--
--**Ingrid Reiten**
--
--(% class="small" %)Curation Scientist,
--Phd Student
--Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
--)))|(% style="width:303px" %)(((
--[[image:My project1.jpg||height="209" width="167"]]
--
--**Sophia Pieschnik**
--
--(% class="small" %)Curation Scientist
--Neurocognitive Psychology (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
++(% class="box floatinginfobox" %)
++(((
++[[[[image:https://github.com/HumanBrainProject/openMINDS/raw/main/img/light_openMINDS-logo.png||alt="openMINDS logo" height="87" width="164"]]>>https://github.com/HumanBrainProject/openMINDS]]
  )))
--|(% style="width:303px" %)(((
--[[image:My project.jpg||height="209" width="167"]]
++openMINDS is a community-driven, open-source metadata framework for linked data, as used in graph database systems, such as the EBRAINS Knowledge Graph. It is composed of multiple metadata models with interlinked schemas, libraries of serviceable metadata instances, and supportive tooling (e.g., [[openMINDS Python>>https://github.com/openMetadataInitiative/openMINDS_Python]] or [[openMINDS Matlab>>https://github.com/openMetadataInitiative/openMINDS_MATLAB]]). A full documentation (for users and contributors) of the openMINDS framework can be found on [[ReadTheDocs>>https://openminds-documentation.readthedocs.io||target="_blank"]].
--**Heidi Kleven**
++For feedback, requests, or contributions, please get in touch with the openMINDS development team via
--(% class="small" %)Curation Scientist,
--Phd Student
--Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
--)))| | |
++* [[support@openmetadatainitiative.org>>mailto:mailto:support@openmetadatainitiative.org]]
++* [[GitHub Issues>>https://github.com/openMetadataInitiative/openMINDS/issues]] (for metadata schemas)
++* [[GitHub Issues>>https://github.com/openMetadataInitiative/openMINDS_instances/issues]] (for metadata instances)
++* [[openMINDS Community Forum>>https://neurostars.org/t/openminds-community-forum-virtual]]
--
--\\**Located in Germany:**
--
--|(% style="width:303px" %)(((
--[[image:My project (2).jpg||height="209" width="167"]]
--
--**Jan Gündling**
--
--(% class="small" %)Curation Scientist,
--Phd Student
--Sensors and Cognitive Psychology (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
--)))|(% style="width:328px" %)(((
--
--
--
--
--
--
--
--
--
--**Lyuba Zehl**
--
--(% class="small" %)Knowledge Systems Engineer
--Dr. rer. nat. (Systems Neuroscience)(%%)
--(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
--)))|(% style="width:321px" %) |(% style="width:324px" %)
--
  ----
  == **Add practical value to your shared data, model or software** ==
------
--
  === **Showcase shared data, models or software in other services** ===
  Below is a list of additional services that data, models or software shared via EBRAINS can benefit from.  EBRAINS is continuously looking to increase the number of interoperable services.
@@ -370,18 +370,29 @@
  ==== **Add a tutorial or learning resource ** ====
  (% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
--(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
++(% style="--darkreader-inline-color:#e8e6e3; color:#000000" %)//More information will follow//
  ==== **Create a workflow** ====
  (% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
--(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
++(% style="--darkreader-inline-color:#e8e6e3; color:#000000" %)//More information will follow//
  ----
--=== **The benefits of sharing data ** ===
++== **EBRAINS commits to the FAIR principles** ==
++In 2016, the 'FAIR Guiding Principles for the management and guardianship of scientific data'{{footnote}}Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 {{/footnote}} were introduced to the scientific community. The objective of the authors was to provide a set of general recommendations aimed at enhancing the Findability, Accessibility, Interoperability, and Reusability of digital resources (data). They emphasize the importance of making data more open, discoverable, and usable, ultimately facilitating collaboration and knowledge sharing within the scientific community. Today, the FAIR principles are widely recognized and adopted as best practices in data management and stewardship across scientific fields.
++
++In EBRAINS, all datasets, models and software shared go through a streamlined curation process that ensures relevant annotation of the data using the [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS]] metadata framework and integration into the [[EBRAINS Knowledge Graph>>url:https://docs.kg.ebrains.eu/]] metadata management system. The research products are Findable and Accessible through the [[Knowledge Graph Search>>url:https://search.kg.ebrains.eu/?category=Dataset]] as dataset/model/software cards that display further information regarding the dataset's Interoperability and Reusability.
++
++To further specify how EBRAINS aligns with the FAIR principles, we have assessed the FAIRness of datasets shared in the EBRAINS Knowledge Graph following the [[FAIRsFAIR Data Object Assessment Metrics>>https://zenodo.org/record/6461229||style="background-color: rgb(255, 255, 255); --darkreader-inline-bgcolor: #181a1b;"]]: see our **[[FAIR assessment of EBRAINS datasets>>doc:.FAIR assessment of EBRAINS datasets.WebHome]]. **
++
++
++----
++
++== **General benefits of sharing data ** ==
++
  By sharing your data via EBRAINS, you gain access to the following benefits:
  [[image:image-20230324170841-3.png]]
@@ -388,19 +388,13 @@
--We support you to better follow the [[FAIR^^ ^^guiding principles>>https://www.nature.com/articles/sdata201618]] for data management and stewardship{{footnote}}Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 {{/footnote}}.  Publishing data, models or code via EBRAINS will provide you with a citeable [[DataCite DOI>>https://www.doi.org/the-identifier/resources/handbook/]] for your research product.
++We support you to better follow the [[FAIR^^ ^^guiding principles>>https://www.nature.com/articles/sdata201618]] for data management and stewardship. Publishing data, models or code via EBRAINS will provide you with a citeable [[DataCite DOI>>https://www.doi.org/the-identifier/resources/handbook/]] for your research product.
  ----
--=== **Frequently asked questions ** ===
++== **Frequently asked questions ** ==
--(((
--====  ====
--
--(((
  >Is the curation process time consuming and difficult?
--)))
--)))
  No, if communication is on a regular basis, we are able to finish curation within two weeks. Publishing your data naturally takes some effort but we will support you as much as possible.
@@ -427,11 +427,104 @@
  ----
++== (% style="--darkreader-inline-color:#d2cec8; color:#1a202c; font-family:inherit; font-size:29px" %)**The curation team: meet the curators**(%%) ==
++
++The EBRAINS curators help researchers publish their research using the EBRAINS Research Infrastructure. A curator’s job is similar to the job of an editor of a scientific journal, checking the data is organized, understandable, accessible and sufficiently described.
++
++The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris.
++
++
++**Located in Norway**
++
++|(% style="width:303px" %)(((
++[[image:My project2.jpg||height="209" width="167"]]
++
++**Archana Golla**
++
++(% class="small" %)Curation Scientist
++Neuroscience (PhD)(%%)
++(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Behavioral neuroscience and microscopy**
++)))|(% style="width:303px" %)(((
++[[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
++
++**Camilla H. Blixhavn**
++
++(% class="small" %)Curation Scientist,
++Phd Student
++Neuroscience (M. Sc.)(%%)
++(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and data integration**
++)))|(% style="width:303px" %)(((
++[[image:My project (1).jpg||height="209" width="167"]]
++
++**Ingrid Reiten**
++
++(% class="small" %)Curation Scientist,
++Phd Student
++Neuroscience (M. Sc.)(%%)
++(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and structural connectivity**
++)))|(% style="width:303px" %)(((
++[[image:My project1.jpg||height="209" width="167"]]
++
++**Sophia Pieschnik**
++
++(% class="small" %)Curation Scientist
++Neurocognitive Psychology (M. Sc.)(%%)
++(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroimaging **
++)))
++
++|(% style="width:303px" %)(((
++[[image:My project.jpg||height="209" width="167"]]
++
++**Heidi Kleven**
++
++(% class="small" %)Curation Scientist,
++Phd Student
++Neuroscience (M. Sc.)(%%)
++(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and brain atlases**
++)))| | |
++
++
++\\**Located in Germany**
++
++|(% style="width:303px" %)(((
++[[image:My project (2).jpg||height="209" width="167"]]
++
++**Jan Gündling**
++
++(% class="small" %)Curation Scientist,
++Phd Student
++Sensors and Cognitive Psychology (M. Sc.)(%%)
++(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Human-Computer Interaction**
++)))|(% style="width:303px" %)(((
++[[image:Lyuba.jpg||height="209" width="167"]]
++
++**Lyuba Zehl**
++
++(% class="small" %)Knowledge Systems Engineer
++Dr. rer. nat. (Systems Neuroscience)(%%)
++(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
++)))|(% style="width:303px" %) |(% style="width:303px" %)
++
++----
++
++
++
++----
++
  == Contact ==
  [[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
++----
++== Affiliated laboratories ==
++
++//Institute of Basic Medical Sciences,** **University of Oslo, Norway (PI: Jan G. Bjaalie, Trygve B. Leergaard)//
++
++//Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany (PI: Timo Dicksheid)//
++
++----
++
  == References ==
  {{putFootnotes/}}

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