Changes for page Data Curation

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

From 200.1 to 199.1 From 220.1 to 219.1

From version 219.1

edited by eapapp
on 2024/06/20 12:30

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To version 200.1

edited by ingrreit
on 2023/06/21 12:15

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--Data Curation
++test-ir2

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--Collabs.WebHome
++CollabClass

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--XWiki.eapapp
++XWiki.ingrreit

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@@ -17,9 +17,9 @@
  {{/html}}
--(% class="wikigeneratedid" id="HPublishingneurosciencedata2CmodelsandsoftwareviaEBRAINS" %)
--(% style="font-size:2em" %)**Publishing neuroscience data, models and software via EBRAINS**
++== 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]].
@@ -67,9 +67,7 @@
  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 ===
@@ -92,13 +92,18 @@
--(% style="margin-right:10px" %)[[image:https://lh3.googleusercontent.com/zh7TvO6w04YGW9jIhfhmdT6CexdGs-AWOLfJXKRq7-tdHOu6ar1rOQx8o4rZevrjXqgPZ7-Ejv4b6X9XpgXuHpdUXi-mBTHIUnv5Vz-DktHt0sP-PZ3gE8XgZid3TV3swV1uTCBhHx11ge0pjP7RVxswGQ=s2048||height="85px;" width="91px;"]](%%)** Fill in the [[EBRAINS Curation Request Form>>https://nettskjema.no/a/386195]]. **
++(% style="margin-right:10px" %)[[image:https://lh3.googleusercontent.com/zh7TvO6w04YGW9jIhfhmdT6CexdGs-AWOLfJXKRq7-tdHOu6ar1rOQx8o4rZevrjXqgPZ7-Ejv4b6X9XpgXuHpdUXi-mBTHIUnv5Vz-DktHt0sP-PZ3gE8XgZid3TV3swV1uTCBhHx11ge0pjP7RVxswGQ=s2048||height="85px;" width="91px;"]](%%)** Fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]]. **
--The form collects general information about your data, allowing us to assess whether the dataset fits within the scope of EBRAINS. The submission generates a curation ID allowing us to track and follow up on incoming requests.
++This form collects preliminary information about your data, allowing us to assess whether the dataset fits within the scope of EBRAINS. The submission generates a curation ID allowing us to track the case.
--You will also be asked to fill in information related to ethics and regulatory compliance, so that we can evaluate whether we can ethically and legally share the data via EBRAINS (earlier, this was recorded via a [[separate form>>https://nettskjema.no/a/224765]]). See below for information about the ethical and legal aspects concerning sharing of human subject data.
++(% style="margin-right:10px" %)[[image:https://lh6.googleusercontent.com/yw442oS6BwZOlY-_0BoVxyCW3DrdcJ5ogCes92iOD16_rgNEVk56aNMDaVWXFfBLYv24bHzmGgBF9wg0szjH70xzuRTqxoQAeuy3knNO7axCHoyZDXwtyTcMgFnYwbOYxOT29LK-zchrUKLW6Mle93kOkQ=s2048||height="94px;" width="94px;"]](%%)**Fill in the [[Ethics and Regulatory compliance form>>https://nettskjema.no/a/224765]]**.
++This form collects the necessary information needed for us to evaluate whether we can ethically and legally share the data via EBRAINS.
++
++See below for information about the ethical and legal aspects concerning sharing of human subject data.
++
++
  ==== **2. Upload data ** ====
  (% class="box floatinginfobox" id="share-data-infographic" %)
@@ -141,7 +141,7 @@
  * [[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/f/3e226ad165054b35b456/||rel="noopener noreferrer" target="_blank"]] 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/lib/47995dbc-f576-4008-a76c-eefbfd818529/file/ebrains-minimum-required-metadata.xlsx]] on EBRAINS.
  ==== **4. Write a Data Descriptor** ====
@@ -177,8 +177,39 @@
  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.
++----
++====  ====
++==== **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)//
++// //
++
++(% 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.//
++)))
++
++
++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]].
++
++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 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 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.
++
++
  ----
  === Step by Step - Models ===
@@ -293,36 +293,6 @@
  ----
--=== 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)//
--// //
--
--(% 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.//
--)))
--
--
--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]].
--
--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 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 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 openMINDS metadata framework** ==
  (% class="box floatinginfobox" %)
@@ -330,109 +330,24 @@
  [[[[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]]
  )))
--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||rel="noopener noreferrer" target="_blank"]].
++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
--* [[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]]
++* 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]]
  ----
--== **Add practical value to your shared data, model or software** ==
++== **The curation team: meet the curators** ==
--
--=== **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.
--
--
--|(% colspan="2" %)**Viewer for 2D images**
--|[[image:MIO_screenshot.PNG]]|Integrate image data with //the Mio viewer//: EBRAINS Multi-Image OpenSeadragon viewer provides an intuitive way of navigating high-resolution 2D image series. It has browser-based classic pan and zoom capabilities. A collection can be displayed as a filmstrip (Filmstrip Mode) or as a table (Collection Mode) with adjustable number of row and columns. See [[Mio viewer links available for this dataset>>https://search.kg.ebrains.eu/?category=Dataset&q=nr2f1#9677359c-73fa-4425-b8fa-3de794e9017a]] as an example. MioViewer user manual is found [[here>>https://multi-image-osd.readthedocs.io/en/latest/index.html]].
--|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
--|[[image:LZ_screenshot.PNG]]|Integrate atlas-registered 2D image data with //the LocaliZoom viewer//: The EBRAINS LocaliZoom serial section viewer displays series of registered 2D section images with atlas overlay, allowing the users to zoom into high-resolution images and have information about the brain regions. See the [[LocaliZoom links available for this dataset>>https://doi.org/10.25493/T686-7BX]] as an example. LocaliZoom user manual is found [[here>>https://localizoom.readthedocs.io/en/latest/index.html]].
--|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
--|[[image:3Datlas_screenshot.PNG]]|Upload your data to the //Siibra-explorer//: The siibra-explorer is used for visualizing volumetric brain data in all the brain atlases provided by EBRAINS (Human, Monkey, Rat and Mouse). The siibra-explorer viewer uses siibra-api to enable navigation of brain region hierarchies, maps in different coordinate spaces, and linked regional data features. Furthermore, it is connected with the siibra toolsuite providing several analytical workflows. To learn more about how to register your data to atlases, read about the [[Atlas services on ebrains.eu>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]].
--|(% colspan="2" %)**Use your research product in an interactive publication**
--|[[image:LivePaper_screenshot.PNG]]|Add your data, models or software to a// Live paper. //Read more about [[Live papers on ebrains.eu>>https://www.ebrains.eu/data/live-papers/live-papers]].
--
------
--
--==== **Add a tutorial or learning resource ** ====
--
--(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
--(% style="--darkreader-inline-color:#ffffff; 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//
--
------
--
--== **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: #1c1e1f;"]]: 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]]
--
--
--
--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 ** ==
--
-->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.
--
-->Is sharing my data also beneficial for me or only for others?
--
--When you publish your data via EBRAINS, we provide comprehensive data management support and safe long term storage - all free of charge. Additionally, your data can be cited, just like a scientific journal article. Sharing your data may even lead to new funding opportunities. Many funders specifically support projects that are part of the “Open Science” initiative.
--
-->Can my data be too insignificant to share?
--
--No, there is no such thing as insignificant data. Data that is considered insignificant for a given topic, may have great significance for another. By making “insignificant” data publicly available, other researchers may find something interesting that was off-topic for your own purposes.
--
-->Can my data be easily misused if I share it?
--
--No, your data will be covered by a Creative Commons license of your choice. There are a variety of licenses available, enabling you to prevent use for specific purposes, e.g. commercial use.
--
-->Can I share my data before my paper is published?
--
--Yes, if you do not want to share your data before publishing the results in an article, you can publish your dataset with an embargo status. This will make it possible to find information about the data without making the data itself available, and give you a citeable DOI.
--
-->Can I lose my competitive edge if I share my data before I publish the associated paper?
--
--No, publishing your data does not mean that others can use it however they want. Use of your data will require citation, and by choosing an appropriate Creative Commons licence you decide what others are allowed to do with it. If you still feel worried, you can publish your data under embargo, and in this way delay the date of data release, but still make it possible for others to find the information about the data.
--
--
------
--
--== (% style="--darkreader-inline-color:#f1ede6; 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**
++**Located in Norway:**
  |(% style="width:303px" %)(((
  [[image:My project2.jpg||height="209" width="167"]]
@@ -441,7 +441,7 @@
  (% class="small" %)Curation Scientist
  Neuroscience (PhD)(%%)
--(% class="small" style="--darkreader-inline-color:#cac2b7; color:#4a5568" %)**Behavioral neuroscience and microscopy**
++(% 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"]]
@@ -450,7 +450,7 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#cac2b7; color:#4a5568" %)**Neuroanatomy and data integration**
++(% 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"]]
@@ -459,7 +459,7 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#cac2b7; color:#4a5568" %)**Neuroanatomy and structural connectivity**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
  )))|(% style="width:303px" %)(((
  [[image:My project1.jpg||height="209" width="167"]]
@@ -467,7 +467,7 @@
  (% class="small" %)Curation Scientist
  Neurocognitive Psychology (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#cac2b7; color:#4a5568" %)**Neuroimaging **
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
  )))
  |(% style="width:303px" %)(((
@@ -478,11 +478,11 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#cac2b7; color:#4a5568" %)**Neuroanatomy and brain atlases**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
  )))| | |
--\\**Located in Germany**
++\\**Located in Germany:**
  |(% style="width:303px" %)(((
  [[image:My project (2).jpg||height="209" width="167"]]
@@ -492,7 +492,7 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Sensors and Cognitive Psychology (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#cac2b7; color:#4a5568" %)**Human-Computer Interaction**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
  )))|(% style="width:303px" %)(((
  [[image:Lyuba.jpg||height="209" width="167"]]
@@ -500,29 +500,97 @@
  (% class="small" %)Knowledge Systems Engineer
  Dr. rer. nat. (Systems Neuroscience)(%%)
--(% class="small" style="--darkreader-inline-color:#cac2b7; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
  )))|(% style="width:303px" %) |(% style="width:303px" %)
  ----
++== **Add practical value to your shared data, model or software** ==
  ----
--== Contact ==
++=== **Showcase shared data, models or software in other services** ===
--[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
++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.
++
++|(% colspan="2" %)**Viewer for 2D images**
++|[[image:MIO_screenshot.PNG]]|Integrate image data with //the Mio viewer//: EBRAINS Multi-Image OpenSeadragon viewer provides an intuitive way of navigating high-resolution 2D image series. It has browser-based classic pan and zoom capabilities. A collection can be displayed as a filmstrip (Filmstrip Mode) or as a table (Collection Mode) with adjustable number of row and columns. See [[Mio viewer links available for this dataset>>https://search.kg.ebrains.eu/?category=Dataset&q=nr2f1#9677359c-73fa-4425-b8fa-3de794e9017a]] as an example. MioViewer user manual is found [[here>>https://multi-image-osd.readthedocs.io/en/latest/index.html]].
++|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
++|[[image:LZ_screenshot.PNG]]|Integrate atlas-registered 2D image data with //the LocaliZoom viewer//: The EBRAINS LocaliZoom serial section viewer displays series of registered 2D section images with atlas overlay, allowing the users to zoom into high-resolution images and have information about the brain regions. See the [[LocaliZoom links available for this dataset>>https://doi.org/10.25493/T686-7BX]] as an example. LocaliZoom user manual is found [[here>>https://localizoom.readthedocs.io/en/latest/index.html]].
++|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
++|[[image:3Datlas_screenshot.PNG]]|Upload your data to the //Siibra-explorer//: The siibra-explorer is used for visualizing volumetric brain data in all the brain atlases provided by EBRAINS (Human, Monkey, Rat and Mouse). The siibra-explorer viewer uses siibra-api to enable navigation of brain region hierarchies, maps in different coordinate spaces, and linked regional data features. Furthermore, it is connected with the siibra toolsuite providing several analytical workflows. To learn more about how to register your data to atlases, read about the [[Atlas services on ebrains.eu>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]].
++|(% colspan="2" %)**Use your research product in an interactive publication**
++|[[image:LivePaper_screenshot.PNG]]|Add your data, models or software to a// Live paper. //Read more about [[Live papers on ebrains.eu>>https://www.ebrains.eu/data/live-papers/live-papers]].
++
  ----
--== Affiliated laboratories ==
++==== **Add a tutorial or learning resource ** ====
--//Institute of Basic Medical Sciences,** **University of Oslo, Norway (PI: Jan G. Bjaalie, Trygve B. Leergaard)//
++(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
++(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
--//Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany (PI: Timo Dicksheid)//
++==== **Create a workflow** ====
++
++(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
++(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
++
  ----
++=== **The benefits of sharing data ** ===
++
++By sharing your data via EBRAINS, you gain access to the following benefits:
++
++[[image:image-20230324170841-3.png]]
++
++
++
++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.
++
++----
++
++=== **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.
++
++>Is sharing my data also beneficial for me or only for others?
++
++When you publish your data via EBRAINS, we provide comprehensive data management support and safe long term storage - all free of charge. Additionally, your data can be cited, just like a scientific journal article. Sharing your data may even lead to new funding opportunities. Many funders specifically support projects that are part of the “Open Science” initiative.
++
++>Can my data be too insignificant to share?
++
++No, there is no such thing as insignificant data. Data that is considered insignificant for a given topic, may have great significance for another. By making “insignificant” data publicly available, other researchers may find something interesting that was off-topic for your own purposes.
++
++>Can my data be easily misused if I share it?
++
++No, your data will be covered by a Creative Commons license of your choice. There are a variety of licenses available, enabling you to prevent use for specific purposes, e.g. commercial use.
++
++>Can I share my data before my paper is published?
++
++Yes, if you do not want to share your data before publishing the results in an article, you can publish your dataset with an embargo status. This will make it possible to find information about the data without making the data itself available, and give you a citeable DOI.
++
++>Can I lose my competitive edge if I share my data before I publish the associated paper?
++
++No, publishing your data does not mean that others can use it however they want. Use of your data will require citation, and by choosing an appropriate Creative Commons licence you decide what others are allowed to do with it. If you still feel worried, you can publish your data under embargo, and in this way delay the date of data release, but still make it possible for others to find the information about the data.
++
++
++----
++
++== Contact ==
++
++[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
++
++
  == References ==
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