Changes for page data-curation-copy

Last modified by eapapp on 2023/07/04 16:46
From version 29.1
edited by ingrreit
on 2023/03/26 07:00
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To version 25.2
edited by ingrreit
on 2023/03/26 06:27
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14 14  **[[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] **
15 15  
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]]
17 + Search existing data, models and code in [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
18 18  
19 +----
19 19  
21 +=== **All neuroscience data are welcome** ===
22 +
23 +(% class="wikigeneratedid" id="H" %)
24 +[[image:image-20230324170829-2.png]]
25 +
20 20  ----
21 21  
22 -== ==
28 +=== **Benefits of sharing data ** ===
23 23  
30 +By sharing your data via EBRAINS, you gain access to the following benefits:
24 24  
32 +[[image:image-20230324170841-3.png]]
33 +
34 +
35 +
36 +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}}.
37 +
38 +----
39 +
40 +== **What is curation?** ==
41 +
42 +>The EBRAINS data curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
43 +
44 +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.
45 +
46 +
47 +Curated data, models and code are made available in the [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]].
48 +
49 +
25 25  (% style="color:#e74c3c" %)Their comparability and
26 26  
27 27  (% 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.
... ... @@ -28,15 +28,16 @@
28 28  
29 29  ----
30 30  
31 -== **The EBRAINS data curation process** ==
56 +== **The data curation process** ==
32 32  
33 -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. 
58 +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.
34 34  
35 ->The EBRAINS data curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
36 36  
37 -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.
61 +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]].
38 38  
63 +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]].
39 39  
65 +
40 40  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!
41 41  
42 42  === Step by step - Experimental data ===
... ... @@ -145,14 +145,6 @@
145 145  
146 146  ----
147 147  
148 -=== Output / result, when you've completed the curation process, what do you get ===
149 -
150 -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]].
151 -
152 -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]].
153 -
154 -----
155 -
156 156  == **Resources for researchers looking to share data** ==
157 157  
158 158  Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
... ... @@ -159,26 +159,6 @@
159 159  
160 160  ----
161 161  
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]]
167 -
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}}.
170 -
171 -
172 -----
173 -
174 -(% style="font-family:inherit" %) (% style="color:#1a202c; font-family:inherit; font-size:26px" %)**What can I share on EBRAINS? **
175 -
176 -(% class="wikigeneratedid" id="H" %)
177 -[[image:image-20230324170829-2.png]]
178 -
179 -
180 -----
181 -
182 182  === **Useful information about sharing of experimental data on EBRAINS ** ===
183 183  
184 184