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	1	+XWiki.spieschnik

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33	33	Behind this process is the EBRAINS Curation team. Our mandate is to support you in sharing your data in line with the [[**FAIR principles**>>https://www.go-fair.org/fair-principles/]], whether you choose to describe only the key aspects of your data, or can invest in adding more detailed metadata.
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	35	+Curated data, models and software are made available in the [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]]. This makes the data and metadata discoverable in the [[Knowledge Graph Search>>url:https://search.kg.ebrains.eu/]] and programmatically via the [[Knowledge Graph API>>url:https://docs.kg.ebrains.eu/8387ccd27a186dea3dd0b949dc528842/api_endpoints.html]]. The data, models and software are integrated in the EBRAINS Knowledge Graph by interoperable metadata schemas as defined in [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS/wiki]].Data and models are linked to and discoverable via the species-specific [[EBRAINS siibra atlas viewer>>url:https://ebrains.eu/services/atlases/brain-atlases]] by using interoperable metadata schemas as defined in [[SANDS>>url:https://github.com/HumanBrainProject/SANDS/wiki]].
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38		-**Particular needs? Contact us! **The workflows for sharing can be modified for researchers or research groups aiming to frequently publish larger numbers of their research products through EBRAINS. Please contact the curation service team in such cases.
	40	+**We strongly recommend to start preparing for data sharing as early as possible.** With a structured data repository and adequate notes on how the data was acquired, you greatly minimize the effort required to publish your data. The time it takes to share data on EBRAINS heavily depends on on the engagement from the researcher and how well the data and metadata is prepared before-hand. **[[Contact us for personalised guidance on how to prepare for sharing>>mailto:curation-support@ebrains.eu]]. **
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43		-**We strongly recommend to start preparing for data sharing as early as possible.** With a structured data repository and adequate notes on how the data was acquired, you greatly minimize the effort required to publish your data. The time it takes to share data on EBRAINS heavily depends on on the engagement from the researcher and how well the data and metadata is prepared before-hand. **[[Contact us for personalised guidance on how to prepare for sharing>>mailto:curation-support@ebrains.eu]]. **
	45	+**Particular needs? Contact us! **The workflows for sharing can be modified for researchers or research groups aiming to frequently publish larger numbers of their research products through EBRAINS. Please contact the curation service team in such cases.
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51		-Curated data, models and software are made available in the [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]]. This makes the data and metadata discoverable in the [[Knowledge Graph Search>>url:https://search.kg.ebrains.eu/]] and programmatically via the [[Knowledge Graph API>>url:https://docs.kg.ebrains.eu/8387ccd27a186dea3dd0b949dc528842/api_endpoints.html]]. The data, models and software are integrated in the EBRAINS Knowledge Graph by interoperable metadata schemas as defined in [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS/wiki]].
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53		-Data and models are linked to and discoverable via the species-specific [[EBRAINS siibra atlas viewer>>url:https://ebrains.eu/services/atlases/brain-atlases]] by using interoperable metadata schemas as defined in [[SANDS>>url:https://github.com/HumanBrainProject/SANDS/wiki]].
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55		-
56	56	----
57	57
58	58	=== Step by step - Experimental data ===
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86	86	Easily submit openMINDS-compatible metadata via our [[metadata wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]. This form covers all the required metadata for sharing data via EBRAINS. When you're ready to 'Submit', the metadata and all uploaded files will be sent to the Curation team.
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88		-For power-users interested in exploring the full span of the openMINDS framework, please check out the [[openMINDS GitHub>>https://github.com/HumanBrainProject/openMINDS]] to learn more about how to programmatically gather your metadata. A stable version of the openMINDS package can be found on [[PyPi>>https://pypi.org/project/openMINDS/]]. We accept openMINDS metadata as JSON-LD (share these with us via curation-support@ebrains.eu). Additional documentation of openMINDS metadata submodules and schemas can be found on [[the openMINDS GitHub Wiki>>https://humanbrainproject.github.io/openMINDS/]].
	80	+For power-users interested in exploring the full span of the openMINDS framework, please check out the [[openMINDS GitHub>>https://github.com/HumanBrainProject/openMINDS]] to learn more about how to programmatically gather your metadata. A stable version of the openMINDS package can be found on [[PyPi>>https://pypi.org/project/openMINDS/]]. We accept openMINDS metadata as JSON-LD (share these with us via curation-support@ebrains.eu). Additional documentation of openMINDS metadata submodules and schemas can be found on [[the openMINDS GitHub Wiki>>https://humanbrainproject.github.io/openMINDS/]]. We have prepared [[a list of the metadata properties that are required>>https://drive.ebrains.eu/lib/47995dbc-f576-4008-a76c-eefbfd818529/file/ebrains-minimum-required-metadata.xlsx]] for publishing data on EBRAINS.
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90	90
91	91	==== **4. Write a Data Descriptor ** ====
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172	172	== **The curation team: meet the curators** ==
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174		-[[image:fb6d6429-709e-4f4d-be3b-eab0a46695bd.JPG||height="184" width="137"]]
	166	+[[image:fb6d6429-709e-4f4d-be3b-eab0a46695bd.JPG||height="184" width="137"]] [[image:ansattfoto2.jpg||height="184" width="137"]]
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176		-**Sophia Pieschnik**
177		-(% class="small" %)Biology (B.Sc.)
178		-Neurocognitive Psychology (M.Sc.)
	168	+**Sophia Pieschnik  Ingrid Reiten**
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	170	+Curation scientist  Curation Scientist, Phd Student
	171	+(% class="small" %)Neurocognitive Psychology (M.Sc.)
	172	+Area of expertise: Neuroimaging  Area of expertise: Neuroanatomy and structural connectivity
	173	+
180	180	----
181	181
182	182	== **Information and resources for researchers looking to share data** ==
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185	185
186	186	----
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189	189	=== **Improve your research product ** ===
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191	191	==== **Add a tutorial or learning resource to your research product ** ====
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200	200	----
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	195	+=== **Integrate your data, models or software with other services** ===
	196	+
	197	+EBRAINS supports further integration for a variety of data, and is continuously looking to increase the number of interoperable services.
	198	+
	199	+* 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]].
	200	+* 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]].
	201	+* Add your data, models or software to a// Live paper//: (% style="color:#e74c3c" %)[description]
	202	+* Integrate 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 integrate your data to atlases, check out the [[Atlas services>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]] on ebrains.eu.
	203	+
	204	+----
	205	+
202	202	=== **The benefits of sharing data ** ===
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204	204	(% style="color:#000000" %)Sharing your data, models or code (research products) via EBRAINS makes it discoverable amongst other research products available in the (%%)[[(% style="color:#000000" %)EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]](%%). This is made possible by the highly flexible metadata framework describing neuroscience data in detail.
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230	230	----
231	231
232		-=== **Integrate your data on EBRAINS with other services** ===
233		-
234		-EBRAINS supports further integration for a variety of data, and is continuously looking to increase the number of interoperable services.
235		-
236		-* Integrate image data with //the Mio viewer//: (% style="color:#e74c3c" %)[description]
237		-* Integrate atlas-registered 2D image data with //the Localizoom viewer//: (% style="color:#e74c3c" %)[description](%%). See the [[LocaliZoom links available for this dataset>>https://doi.org/10.25493/T686-7BX]] as an example.
238		-* Add your data, models or software to a// Live paper//: (% style="color:#e74c3c" %)[description]
239		-* Integrate your data to //the atlas viewer Siibra//: (% style="color:#e74c3c" %)[description](%%). To learn more about how to integrate your data to atlases, check out the [[Atlas services>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]] on ebrains.eu.
240		-
241		-----
242		-
243	243	=== **Common concerns - and answers ** ===
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