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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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	36	+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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	38	+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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39	39	(((
40	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]]. **
41	41	)))
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45	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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48	48	----
49	49
50	50	=== Step by step - Experimental data ===
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166	166	[[image:fb6d6429-709e-4f4d-be3b-eab0a46695bd.JPG||height="184" width="137"]]
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168	168	**Sophia Pieschnik**
	172	+(% class="small" %)Biology (B.Sc.)
	173	+Neurocognitive Psychology (M.Sc.)
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170		-Curation scientist
171		-(% class="small" %)Neurocognitive Psychology (M.Sc.)
172		-Focus area: Neuroimaging
173		-
174	174	----
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176	176	== **Information and resources for researchers looking to share data** ==
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193	193	----
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195		-=== **Integrate your data, models or software with other services** ===
	196	+=== **Integrate your data on EBRAINS with other services** ===
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197	197	EBRAINS supports further integration for a variety of data, and is continuously looking to increase the number of interoperable services.
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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]].
	200	+* Integrate image data with //the Mio viewer//: (% style="color:#e74c3c" %)[description]
	201	+* 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.
201	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	+* 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.
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204	204	----
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