Changes for page data-curation-copy

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

From version 27.2
edited by ingrreit
on 2023/03/26 06:50
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To version 38.1
edited by ingrreit
on 2023/03/26 07:35
Change comment: There is no comment for this version

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19 19  
20 20  ----
21 21  
22 -== ==
22 +== **The EBRAINS curation process** ==
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 24  
25 -(% style="color:#e74c3c" %)Their comparability and
26 +>The EBRAINS curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
26 26  
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 28  
29 -----
29 +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.
30 30  
31 -== **The EBRAINS data curation process** ==
32 32  
33 -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 tools and workflows on the EBRAINS platform. This effort is referred to as curation.
32 +(% class="box floatinginfobox" %)
33 +(((
34 +**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]]. **
35 +)))
34 34  
35 ->The EBRAINS data curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
36 36  
37 37  
38 -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.
39 39  
40 40  
41 -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!
42 42  
42 +
43 +----
44 +
43 43  === Step by step - Experimental data ===
44 44  
45 45  
46 46  [[image:image-20230326054341-1.png]]
47 47  
50 +==== ====
51 +
48 48  ==== **1. Provide some general information about your dataset** ====
49 49  
50 50  The [[Curation request form>>https://nettskjema.no/a/277393#/]] collects preliminary information about your data, allowing us to assess whether the dataset fits within the scope of EBRAINS. The submission generates a curation ID allowing us to track the case.
... ... @@ -56,9 +56,9 @@
56 56  
57 57  EBRAINS offers secure, long-term storage at [[CSCS Swiss National Supercomputing Centre>>url:https://www.cscs.ch/]], with currently no upper limit of storage capacity. The data must be consistently structured prior to upload. 
58 58  
59 -For smaller datasets with a reasonable amount of files, we recommend using the **Collab-Bucket solution (drag-and-drop)**. A Collab Bucket must first be assigned to a dataset, which happens when a datasets is accepted for sharing.
63 +For smaller datasets with a reasonable amount of files, we recommend using the Collab-Bucket solution (drag-and-drop). A Collab Bucket must first be assigned to a dataset, which happens when a datasets is accepted for sharing.
60 60  
61 -For larger datasets or datasets with a large amount of files, we recommend using a **programmatic approach**. The [[python script>>https://github.com/eapapp/ebrains-data-storage/tree/main/data-proxy]] is interactive and does not require any additional programming.
65 +For larger datasets or datasets with a large amount of files, we recommend using a programmatic approach. The [[python script>>https://github.com/eapapp/ebrains-data-storage/tree/main/data-proxy]] is interactive and does not require any additional programming.
62 62  
63 63  
64 64  If a data collection is already uploaded elsewhere, we may link to the already existing repository.
... ... @@ -109,8 +109,7 @@
109 109  
110 110  **Data users** must request access to the data (via their EBRAINS account) and will receive access provided they actively accept the [[EBRAINS Access Policy>>https://ebrains.eu/terms#access-policy]], the [[EBRAINS General Terms of Use>>https://ebrains.eu/terms#general-terms-of-use]], and the [[EBRAINS Data Use Agreement>>https://ebrains.eu/terms#data-use-agreement]]. The account holder also have to accept that information about their request and access to specific data under HDG is being tracked and stored.
111 111  \\**Data owners** must be aware that sharing under the HDG affects the legal responsibilities for the data. They must agree to joint control of the data (see the [[Data Provision Protocol v1>>url:https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]], section 1.4 - 1.5) and the Data Protection Officers of the responsible institutions must have accepted that the data can be shared under HDG.
112 -\\**Human Data Gateway, Background**
113 -HDG was introduced in February 2021 and developed across multiple teams in the HBP. The initiative to create the service and the initial design originated from EBRAINS Curation in close collaboration with the Data compliance team and the HBP Data Governance Working Group. HDG is a response to the needs of multiple data providers who are bringing data of human origin to EBRAINS. HDG covers the sharing of a limited range of data of human origin, i.e., data without direct identifiers and with very few indirect identifiers (strongly pseudonymized, de-identified). It is an extension of the existing services and does not replace the future EBRAINS Service for sensitive data (planned for 2024) which is outside the domain of the current EBRAINS Data and Knowledge services.
116 +\\The Human Data Gateway (HDG) was introduced in February 2021 and developed across multiple teams in the HBP. The initiative to create the service and the initial design originated from EBRAINS Curation in close collaboration with the Data compliance team and the HBP Data Governance Working Group. HDG is a response to the needs of multiple data providers who are bringing data of human origin to EBRAINS. HDG covers the sharing of a limited range of data of human origin, i.e., data without direct identifiers and with very few indirect identifiers (strongly pseudonymized, de-identified). It is an extension of the existing services and does not replace the future EBRAINS Service for sensitive data (planned for 2024) which is outside the domain of the current EBRAINS Data and Knowledge services.
114 114  
115 115  
116 116  ----
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154 154  
155 155  ----
156 156  
157 -== **Resources for researchers looking to share data** ==
160 +== **Information and 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.
160 160  
161 161  ----
162 162  
163 -=== **Why should I share data?** ===
166 +=== **The benefits of sharing data ** ===
164 164  
168 +(% style="color:#e74c3c" %)[EDIT required]
169 +
170 +(% 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.
171 +
172 +
165 165  By sharing your data via EBRAINS, you gain access to the following benefits:
166 166  
167 167  [[image:image-20230324170841-3.png]]
168 168  
169 169  
170 -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}}.
171 171  
179 +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.
172 172  
181 +
173 173  ----
174 174  
175 175  (% style="font-family:inherit" %) (% style="color:#1a202c; font-family:inherit; font-size:26px" %)**What can I share on EBRAINS? **
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180 180  
181 181  ----
182 182  
183 -=== **Useful information about sharing of experimental data on EBRAINS ** ===
192 +=== **Sharing experimental data on EBRAINS - at a glance** ===
184 184  
185 185  
186 186  |(% style="width:593px" %)(((