Changes for page data-curation-copy

Last modified by eapapp on 2023/07/04 16:46

From version 31.1
edited by ingrreit
on 2023/03/26 07:15
Change comment: There is no comment for this version
To version 34.1
edited by ingrreit
on 2023/03/26 07:23
Change comment: There is no comment for this version

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17 17   Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
18 18  
19 19  
20 -(% style="color:#e74c3c" %)[EDIT required]
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>>(%%)[[(% style="color:#e74c3c" %)https:~~/~~/kg.ebrains.eu/>>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.
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24 24  ----
25 25  
26 26  == **The EBRAINS curation process** ==
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31 31  
32 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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34 34  (% class="box floatinginfobox" %)
35 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]]. **
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]]. **
37 37  )))
38 38  
39 -=== ===
40 40  
41 -=== ===
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42 +----
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43 43  === Step by step - Experimental data ===
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45 45  
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162 162  
163 163  === **Why should I share data?** ===
164 164  
166 +(% style="color:#e74c3c" %)[EDIT required]
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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.
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165 165  By sharing your data via EBRAINS, you gain access to the following benefits:
166 166  
167 167  [[image:image-20230324170841-3.png]]