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1		-== Publishing data, models and software via EBRAINS ==
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2	2
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.
4		-
5	5	{{box title="**Contents**"}}
6	6	{{toc depth="3" start="2"/}}
7	7	{{/box}}
8	8
	8	+== Publishing data via EBRAINS ==
9	9
	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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	12	+
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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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16	16	(% style="text-align: center;" %)
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]]
18	18
19	19
20		-(% style="color:#e74c3c" %)[EDIT required]
	23	+----
21	21
22		-(% style="color:#e74c3c" %)Sharing your data, models or code (research products) via EBRAINS makes it discoverable amongst other research products available in the [[EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]]. This is made possible by the highly flexible metadata framework describing neuroscience data in detail. 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.
	25	+=== **All neuroscience data are welcome** ===
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	28	+[[image:image-20230324170829-2.png]]
	29	+
24	24	----
25	25
26		-== **The EBRAINS curation process** ==
	32	+=== **Benefits of sharing data ** ===
27	27
28		-In EBRAINS, multimodal and heterogenous neuroscience data, models and software are categorised and described in a standardised manner so that they can be effectively searched, compared, and analysed. This effort is referred to as curation.
	34	+By sharing your data via EBRAINS, you gain access to the following benefits:
29	29
30		->The EBRAINS curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
	36	+[[image:image-20230324170841-3.png]]
31	31
32		-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		-(((
36		-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 to prepare for sharing>>mailto:curation-support@ebrains.eu]]. **
37		-)))
38	38
39		-=== ===
	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}}.
40	40
41		-=== ===
	42	+----
42	42
	44	+== **What is curation?** ==
	45	+
	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.
	49	+
	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	+
	57	+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.
	58	+
	59	+
	60	+Data, models and code are integrated into the [[EBRAINS Knowledge Graph>>url:https://kg.ebrains.eu/]] by using interoperable metadata schemas as defined in [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS/wiki]]. This makes the data and metadata discoverable in the [[KG Search>>url:https://search.kg.ebrains.eu/]] and programmatically via the [[KG API>>url:https://docs.kg.ebrains.eu/8387ccd27a186dea3dd0b949dc528842/api_endpoints.html]].
	61	+
	62	+Data and models are linked to and discoverable via the species-specific [[EBRAINS Interactive 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]].
	63	+
	64	+
	65	+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. 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. **Want to learn more about how to Prepare to Share? **Contact us!
	66	+
43	43	=== Step by step - Experimental data ===
44	44
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	70	+[[image:image-20230324170858-4.png]]
45	45
46		-[[image:image-20230326054341-1.png]]
47	47
48	48	==== **1. Provide some general information about your dataset** ====
49	49
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146	146
147	147	----
148	148
149		-=== Output / result, when you've completed the curation process, what do you get ===
150		-
151		-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]].
152		-
153		-Data and models are linked to and discoverable via the species-specific [[EBRAINS Interactive 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]].
154		-
155		-----
156		-
157	157	== **Resources for researchers looking to share data** ==
158	158
159	159	Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
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160	160
161	161	----
162	162
163		-=== **Why should I share data?** ===
164		-
165		-By sharing your data via EBRAINS, you gain access to the following benefits:
166		-
167		-[[image:image-20230324170841-3.png]]
168		-
169		-
170		-
171		-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}}.  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.
172		-
173		-
174		-----
175		-
176		-(% style="font-family:inherit" %) (% style="color:#1a202c; font-family:inherit; font-size:26px" %)**What can I share on EBRAINS? **
177		-
178		-(% class="wikigeneratedid" id="H" %)
179		-[[image:image-20230324170829-2.png]]
180		-
181		-
182		-----
183		-
184	184	=== **Useful information about sharing of experimental data on EBRAINS ** ===
185	185
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216	216	(((
217	217	==== ====
218	218
219		->
220		-
221		-(((
	215	+>(((
222	222	>The curation process is time consuming and difficult
223	223	)))
224	224	)))