Changes for page data-curation-copy

Last modified by eapapp on 2023/07/04 16:46
From version 21.1
edited by ingrreit
on 2023/03/26 05:38
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To version 25.2
edited by ingrreit
on 2023/03/26 06:27
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1 +== Publishing data, models and software via EBRAINS ==
3 3  
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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4 4  {{box title="**Contents**"}}
5 5  {{toc depth="3" start="2"/}}
6 6  {{/box}}
7 7  
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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13 13  (% style="text-align: center;" %)
14 14  **Get started! **
15 15  
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19 19  (% style="text-align: center;" %)
20 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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22 -
23 23  ----
24 24  
25 25  === **All neuroscience data are welcome** ===
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48 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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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.
47 +Curated data, models and code are made available in the [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]].
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50 +(% style="color:#e74c3c" %)Their comparability and
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52 +(% 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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53 53  ----
54 54  
55 -== **The process** ==
56 +== **The data curation process** ==
56 56  
57 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.
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66 66  
67 67  === Step by step - Experimental data ===
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70 -[[image:image-20230324170858-4.png]]
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73 73  ==== **1. Provide some general information about your dataset** ====
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212 212  (((
213 213  ==== ====
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215 ->(((
215 +>
216 +
217 +(((
216 216  >The curation process is time consuming and difficult
217 217  )))
218 218  )))
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