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1	1	== Publishing neuroscience data, models and software via EBRAINS ==
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3		-The aim of this collab is to provide you with all the information you need to publish your experimental data, simulations, computational models, and software via EBRAINS. Have you already published your data somewhere else? You can increase the exposure and impact of your shared dataset by also listing it on EBRAINS.
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	5	+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]].
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5	5	{{box title="**Contents**"}}
6	6	{{toc depth="3" start="2"/}}
7	7	{{/box}}
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11		-**Get started! **
	12	+== **Information to get started** ==
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14		-**[[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] **
	14	+**Get started! [[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] to share data, simulations, computational models, and software, - or a new version of an existing one. **
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17		- Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
	16	+Have you already published your data somewhere else? You can increase the exposure and impact of your shared dataset by also listing it on EBRAINS.
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	19	+Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
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	22	+EBRAINS accepts data from all modalities and from all species, as well as models, software, web services and metadata models (collectively referred to as research products) for sharing. You'll find detailed information about how to share each research product below.
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	27	+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.
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	32	+**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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22	22	== **The EBRAINS curation process** ==
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38	38	(% class="box infomessage" %)
39	39	(((
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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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	----
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201	201	(% class="small" style="color:#4a5568" %)**Neuroimaging **
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	219	+|(% style="width:303px" %)(((
205	205	[[image:My project.jpg||height="209" width="167"]]
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207	207	**Heidi Kleven**
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216	216	\\**Located in Germany:**
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218	218	[[image:My project (2).jpg||height="209" width="167"]]
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220	220	**Jan Gündling**
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222		-(% class="small" %)Curation Scientist
	238	+(% class="small" %)Curation Scientist,
223	223	Phd Student
224	224	Sensors and Cognitive Psychology (M. Sc.)(%%)
225		-(% class="small" style="color:#4a5568" %)**Human-Computer Interaction **
	241	+(% class="small" style="color:#4a5568" %)**Human-Computer Interaction**
	242	+)))|(% style="width:303px" %)(((
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	255	+**Lyuba Zehl**
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	257	+(% class="small" %)Knowledge Systems Engineer
	258	+Dr. rer. nat. (Systems Neuroscience)(%%)
	259	+(% class="small" style="color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
	260	+)))|(% style="width:303px" %) |
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227	227	----
228	228
229	229	== **Information and resources for researchers looking to share data** ==