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1		-== Publishing 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	5	{{box title="**Contents**"}}
6	6	{{toc depth="3" start="2"/}}
7	7	{{/box}}
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	8	+== Publishing data via EBRAINS ==
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	10	+The aim of this collab is to provide you with all the information you need to publish your neuroscience data via the EBRAINS Knowledge Graph. By "neuroscience data," we mean experimental datasets collected from living organisms, but also simulations, computational models, and software. Have you already published your data somewhere else? You can increase the exposure and impact of your shared dataset by re-sharing its metadata via EBRAINS.
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11	11	**Get started! **
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14	14	**[[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] **
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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]]
	20	+ Search existing data, models and code in [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
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19	19
20	20	----
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22		-== **What is curation?** ==
	25	+=== **All neuroscience data are welcome** ===
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24		->The EBRAINS data curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
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26		-Neuroscience data are multimodal, heterogenous, and organised in different ways. All these diverse data need to be categorised and described in a standardised manner so that they can be effectively searched, compared, and analysed by using the integrated tools and workflows on the EBRAINS platform. This effort is referred to as curation.
	30	+----
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	32	+=== **Benefits of sharing data ** ===
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29		-Curated data, models and code are made available in the [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]].
	34	+By sharing your data via EBRAINS, you gain access to the following benefits:
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	36	+[[image:image-20230324170841-3.png]]
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32		-(% style="color:#e74c3c" %)Their comparability and
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34		-(% style="color:#e74c3c" %)Sharing your data, models or code (research products) via EBRAINS makes it discoverable amongst other research products available in (%%)[[(% style="color:#e74c3c" %)the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]](%%). This is made possible by the highly flexible metadata framework describing neuroscience data in detail, [[(% style="color:#e74c3c" %)openMINDS>>https://github.com/HumanBrainProject/openMINDS]](%%). EBRAINS is gradually implementing interconnected tools and analysis workflows developed in the Human Brain Project (HBP) to further enhance the output from adding your dataset to the database.
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	40	+We support you to better follow the FAIR^^ ^^guiding principles 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}}.
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36	36	----
37	37
38		-== **The data curation process** ==
	44	+== **What is curation?** ==
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	46	+>The EBRAINS data curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
	47	+
	48	+Neuroscience data are multimodal, heterogenous, and organised in different ways. All these diverse data need to be categorised and described in a standardised manner so that they can be effectively searched, compared, and analysed by using the integrated tools and workflows on the EBRAINS platform. This effort is referred to as curation.
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	50	+
	51	+Sharing your data, models or code via EBRAINS makes your data discoverable amongst other neuroscience research products available in [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]]. The data are easily discoverable in our online search engine: the [[EBRAINS Knowledge Graph Search>>https://search.kg.ebrains.eu/]] and can also be accessed programmatically. This search is made possible by the integration of the Knowledge Graph with a highly flexible metadata framework describing neuroscience data in detail, [[openMINDS>>https://github.com/HumanBrainProject/openMINDS]]. EBRAINS is gradually implementing interconnected tools and analysis workflows developed in the Human Brain Project (HBP) to further enhance the output from adding your dataset to the database.
	52	+
	53	+----
	54	+
	55	+== **The process** ==
	56	+
40	40	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. 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.
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160	160	----
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162		-=== **Why should I share data?** ===
163		-
164		-By sharing your data via EBRAINS, you gain access to the following benefits:
165		-
166		-[[image:image-20230324170841-3.png]]
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168		-
169		-We support you to better follow the FAIR^^ ^^guiding principles 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}}.
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174		-(% style="font-family:inherit" %) (% style="color:#1a202c; font-family:inherit; font-size:26px" %)**What can I share on EBRAINS? **
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177		-[[image:image-20230324170829-2.png]]
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180		-----
181		-
182	182	=== **Useful information about sharing of experimental data on EBRAINS ** ===
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