Changes for page data-curation-copy

Last modified by eapapp on 2023/07/04 16:46
From version 34.1
edited by ingrreit
on 2023/03/26 07:23
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To version 27.1
edited by ingrreit
on 2023/03/26 06:39
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19 19  
20 20  ----
21 21  
22 -== **The EBRAINS curation process** ==
22 +== **What is curation?** ==
23 23  
24 -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. 
24 +>The EBRAINS data curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
25 25  
26 ->The EBRAINS curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
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.
27 27  
28 -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.
29 29  
29 +Curated data, models and code are made available in the [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]].
30 30  
31 -(% class="box floatinginfobox" %)
32 -(((
33 -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]]. **
34 -)))
35 35  
32 +(% style="color:#e74c3c" %)Their comparability and
36 36  
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.
37 37  
36 +----
38 38  
38 +== **The data curation process** ==
39 39  
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.
40 40  
41 41  
42 -----
43 +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]].
43 43  
45 +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]].
46 +
47 +
48 +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!
49 +
44 44  === Step by step - Experimental data ===
45 45  
46 46  
... ... @@ -147,14 +147,6 @@
147 147  
148 148  ----
149 149  
150 -=== Output / result, when you've completed the curation process, what do you get ===
151 -
152 -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]].
153 -
154 -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]].
155 -
156 -----
157 -
158 158  == **Resources for researchers looking to share data** ==
159 159  
160 160  Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
... ... @@ -163,20 +163,14 @@
163 163  
164 164  === **Why should I share data?** ===
165 165  
166 -(% style="color:#e74c3c" %)[EDIT required]
167 -
168 -(% 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.
169 -
170 -
171 171  By sharing your data via EBRAINS, you gain access to the following benefits:
172 172  
173 173  [[image:image-20230324170841-3.png]]
174 174  
175 175  
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}}.
176 176  
177 -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.
178 178  
179 -
180 180  ----
181 181  
182 182  (% style="font-family:inherit" %) (% style="color:#1a202c; font-family:inherit; font-size:26px" %)**What can I share on EBRAINS? **