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Changes for page Data Curation

Last modified by abonard on 2025/06/03 10:55
From version 228.1
edited by puchades
on 2025/05/07 15:03
Change comment: There is no comment for this version
To version 167.1
edited by eapapp
on 2023/06/06 13:46
Change comment: There is no comment for this version

Summary

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1 -Data Curation
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17 17  {{/html}}
18 18  
19 19  
20 -(% class="wikigeneratedid" id="HPublishingneurosciencedata2CmodelsandsoftwareviaEBRAINS" %)
21 -(% style="font-size:2em" %)**Publishing neuroscience data, models and software via EBRAINS**
20 +== Publishing neuroscience data, models and software via EBRAINS ==
22 22  
22 +
23 23  (% class="wikigeneratedid" %)
24 24  The aim of this collab is to provide you with detailed information about publishing data, simulations, computational models, and software via EBRAINS. If you want a quick overview of the sharing process, see [[https:~~/~~/ebrains.eu/service/share-data>>https://ebrains.eu/service/share-data]].
25 25  
... ... @@ -29,15 +29,13 @@
29 29  
30 30  == **Information to get started** ==
31 31  
32 -**[[REQUEST CURATION>>https://nettskjema.no/a/386195]] to share data, simulations, computational models, and software, - or to add a new version of an existing one. **
32 +**[[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] to share data, simulations, computational models, and software, - or to add a new version of an existing one. **
33 33  
34 34  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.
35 35  
36 36  
37 -(% class="box" style="text-align: center; font-size: 1.2em" %)
38 -(((
39 -Search existing data, models and software in the [[EBRAINS Knowledge Graph>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
40 -)))
37 +(% style="text-align: center;" %)
38 +Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
41 41  
42 42  
43 43  EBRAINS accepts data from all modalities and from all species, as well as models, software, web services and metadata models (collectively referred to as research products) for sharing. You'll find detailed information about how to share each research product below. 
... ... @@ -67,9 +67,7 @@
67 67  
68 68  The curation of data, models and software is different. Thus, below we explain the process for sharing for each research product separately.
69 69  
70 -**Before you get started, make sure you[[ sign up for a free EBRAINS account>>https://www.ebrains.eu/page/sign-up]]. This is needed to complete the data sharing process. **
71 71  
72 -
73 73  ----
74 74  
75 75  === Step by step - Data ===
... ... @@ -84,7 +84,7 @@
84 84  //with all you need to know//
85 85  //to share data on EBRAINS: //
86 86  // //
87 -[[~[~[image:image-20230324171114-2.png~|~|height="150" width="106"~]~]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
83 +[[[[image:image-20230324171114-2.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]//
88 88  )))
89 89  
90 90  
... ... @@ -91,39 +91,34 @@
91 91  ==== **1. Provide some general information about your dataset** ====
92 92  
93 93  
90 +[[image:https://lh3.googleusercontent.com/zh7TvO6w04YGW9jIhfhmdT6CexdGs-AWOLfJXKRq7-tdHOu6ar1rOQx8o4rZevrjXqgPZ7-Ejv4b6X9XpgXuHpdUXi-mBTHIUnv5Vz-DktHt0sP-PZ3gE8XgZid3TV3swV1uTCBhHx11ge0pjP7RVxswGQ=s2048||height="85px;" width="91px;"]]** Fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]]. **
94 94  
95 -(% style="margin-right:10px" %)[[image:https://lh3.googleusercontent.com/zh7TvO6w04YGW9jIhfhmdT6CexdGs-AWOLfJXKRq7-tdHOu6ar1rOQx8o4rZevrjXqgPZ7-Ejv4b6X9XpgXuHpdUXi-mBTHIUnv5Vz-DktHt0sP-PZ3gE8XgZid3TV3swV1uTCBhHx11ge0pjP7RVxswGQ=s2048||height="85px;" width="91px;"]](%%)** Fill in the [[EBRAINS Curation Request Form>>https://nettskjema.no/a/386195]]. **
92 +This form 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.
96 96  
97 -The form collects general 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 and follow up on incoming requests.
98 98  
99 -You will also be asked to fill in information related to ethics and regulatory compliance, so that we can evaluate whether we can ethically and legally share the data via EBRAINS (earlier, this was recorded via a [[separate form>>https://nettskjema.no/a/224765]]). See below for information about the ethical and legal aspects concerning sharing of human subject data.
95 +[[image:https://lh6.googleusercontent.com/yw442oS6BwZOlY-_0BoVxyCW3DrdcJ5ogCes92iOD16_rgNEVk56aNMDaVWXFfBLYv24bHzmGgBF9wg0szjH70xzuRTqxoQAeuy3knNO7axCHoyZDXwtyTcMgFnYwbOYxOT29LK-zchrUKLW6Mle93kOkQ=s2048||height="94px;" width="94px;"]]**Fill in the [[Ethics and Regulatory compliance form>>https://nettskjema.no/a/224765]]**.
100 100  
97 +This form collects the necessary information needed for us to evaluate whether we can ethically and legally share the data via EBRAINS.
101 101  
102 -==== **2. Upload data ** ====
99 +See below for information about the ethical and legal aspects concerning sharing of human subject data.
103 103  
104 -(% class="box floatinginfobox" id="share-data-infographic" %)
105 -(((
106 -(% style="text-align:center" %)
107 -//Download our infographic//
108 -//with guidelines
109 -on data organization: //
110 110  
111 -[[~[~[image:image-20230621121014-1.png~|~|data-xwiki-image-style-alignment="center" height="150" width="106"~]~]>>https://drive.ebrains.eu/lib/f5cf4964-f095-49bd-8c34-e4ffda05a497/file/ebrains-infographic-data-organisation.pdf/]]
112 -)))
102 +==== **2. Upload data ** ====
113 113  
114 -(% style="margin-right:10px" %)[[image:https://lh5.googleusercontent.com/sieKO-kW8O18iPaUyonwyo4UfHBmtc2E9BDnjbx52j6J_uGmm-OzGAo7sloMk3sYwKa6QW3hYQsOA9N4H7uGQpca088Wrk0Nurpt_J3B0-NSbcaPNdZIh21otQcG6jnAxLGiKoEvkTyaDGTMk3fu7me8mQ=s2048||height="94px;" width="94px;"]](%%)**Ensure data is structured consistently prior to upload. **
115 115  
116 -We look for organized data, not organized according to our standard. This is to support the broadest degree of sharing possible. We do however require that the data is organized in a consistent and precise manner. Please see our// //[[guidelines on data organization>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] for further guidance.
105 +[[image:https://lh5.googleusercontent.com/sieKO-kW8O18iPaUyonwyo4UfHBmtc2E9BDnjbx52j6J_uGmm-OzGAo7sloMk3sYwKa6QW3hYQsOA9N4H7uGQpca088Wrk0Nurpt_J3B0-NSbcaPNdZIh21otQcG6jnAxLGiKoEvkTyaDGTMk3fu7me8mQ=s2048||height="94px;" width="94px;"]]**Ensure data is structured consistently prior to upload. **
117 117  
118 -(% style="margin-right:10px" %)[[image:https://lh5.googleusercontent.com/EWtYwfVlbeC-jqPasgmzidqc50GrkKIEgwXeUeql8aaMHIukmFdWEy0nufVWWATbxDDK3XwwZEDmASrbpCsBk1u0HpAd8x4ZgAMsMPRcWyrb9etlV6FgKE_QN2e6SqKxHE0rzkR8uI1rRW_5z21TFGYVnw=s2048||height="91px;" width="91px;"]](%%)**Upload data to EBRAINS Storage, either using a drag-and-drop solution (opt. 1) or an interactive python script (opt. 2).**
107 +We look for organized data, not organized according to our standard. This is to support the broadest degree of sharing possible. We do however require that the data is organized in a consistent and precise manner. Please see our// //[[collection of guidelines on data organization>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] for further guidance.
119 119  
120 -**Opt. 1. **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.
109 +[[image:https://lh5.googleusercontent.com/EWtYwfVlbeC-jqPasgmzidqc50GrkKIEgwXeUeql8aaMHIukmFdWEy0nufVWWATbxDDK3XwwZEDmASrbpCsBk1u0HpAd8x4ZgAMsMPRcWyrb9etlV6FgKE_QN2e6SqKxHE0rzkR8uI1rRW_5z21TFGYVnw=s2048||height="91px;" width="91px;"]]**Upload data to EBRAINS Storage, either using a drag-and-drop solution (opt. 1) or an interactive python script (opt. 2).**
121 121  
122 -**Opt. 2. **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.
111 +//Opt. 1. //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.
123 123  
113 +//Opt. 2. //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.
124 124  
125 -EBRAINS offers secure, long-term storage at FENIX Supercomputing Centres in Europe.
126 126  
116 +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. 
117 +
127 127  If a data collection is already uploaded elsewhere, we may link to the already existing repository.
128 128  
129 129  
... ... @@ -130,25 +130,23 @@
130 130  ==== **3. Submit metadata** ====
131 131  
132 132  
133 -(% style="margin-right:10px" %)[[image:https://lh5.googleusercontent.com/WS4T2LhF9znWWChn3Z550agLrrb-KTWdYVsJSv0lh4cGjKbjuN1WV68WER9xkYqi1UqN7KYZz7bImYz3_TpOuTuvma7T192QUiUZoyJVPk1fj5NSDSQh_kpIeBufAOdDtsDRpPKK_P5EDPqRCTAaOTNyCw=s2048||height="91px;" width="91px;"]](%%)**Submit metadata using the **[[EBRAINS Metadata Wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]** (opt. 1), or directly via the Knowledge Graph (opt. 2) **
124 +[[image:https://lh5.googleusercontent.com/WS4T2LhF9znWWChn3Z550agLrrb-KTWdYVsJSv0lh4cGjKbjuN1WV68WER9xkYqi1UqN7KYZz7bImYz3_TpOuTuvma7T192QUiUZoyJVPk1fj5NSDSQh_kpIeBufAOdDtsDRpPKK_P5EDPqRCTAaOTNyCw=s2048||height="91px;" width="91px;"]]**Submit metadata using the **[[EBRAINS Wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]** (opt. 1), or through direct interaction with the Knowledge Graph (opt. 2) **
134 134  
135 -**Opt. 1.** Manually submit the minimal required metadata via the [[EBRAINS Metadata Wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]. The minimal required metadata covers extended bibliographic information necessary to publish your dataset on EBRAINS. The submitted information, including uploaded files, will be sent to the Curation team automatically
126 +//Opt. 1.// Manually submit the minimal required metadata via the [[EBRAINS Wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]. The minimal required metadata covers extended bibliographic information necessary to publish your dataset on EBRAINS. The submitted information, including uploaded files, will be sent to the Curation team automatically
136 136  
137 -**Opt. 2.** To go beyond the minimal required metadata, you can directly interact with the Knowledge Graph (KG) in your private space. Within the private space, you can upload metadata and interact with them, moreover you can connect your metadata to existing publicly accessible entries. Access to your private space is granted upon the initiation of the curation process. You can access your private space via:
128 +//Opt. 2.// To go beyond the minimal required metadata, you can directly interact with the Knowledge Graph (KG) in your private space. Within the private space, you can upload metadata and interact with them, moreover you can connect your metadata to existing publicly accessible entries. Access to your private space is granted upon the initiation of the curation process. You can access your private space via:
138 138  
139 139  * Knowledge Graph Editor: This User Interface allows you to manually enter metadata into your KG space and validate metadata that are programmatically uploaded. The Editor contains a basic set of openMINDS metadata templates, but can be extended to the full openMINDS metadata model on request. Access is granted once the request is accepted.
140 140  * [[Fairgraph>>https://fairgraph.readthedocs.io/en/stable/]]: This is the recommended software tool for programmatic interaction with the KG. It allows you to programmatically upload openMINDS compliant metadata into your KG space and interact with existing metadata.
141 141  * [[KG Core Python SDK>>https://github.com/HumanBrainProject/kg-core-sdks]]: This python package gives you full freedom in interacting with he KG. It allows you to upload any JSON-LD with metadata into your private space. Note, for dataset publications in EBRAINS, the JSON-LD metadata files have to comply to openMINDS.
142 142  
143 -Datasets published through the EBRAINS Knowledge Graph have to be registered using **openMINDS compliant metadata** delivered as JSON-LD files. See this summary table for an overview of [[the minimally required openMINDS properties for publishing>>https://drive.ebrains.eu/f/3e226ad165054b35b456/||rel="noopener noreferrer" target="_blank"]] on EBRAINS.
134 +Datasets published through the EBRAINS Knowledge Graph have to be registered using **openMINDS compliant metadata** delivered as JSON-LD files. See this summary table for an overview of [[the minimally required openMINDS properties for publishing>>https://drive.ebrains.eu/lib/47995dbc-f576-4008-a76c-eefbfd818529/file/ebrains-minimum-required-metadata.xlsx]] on EBRAINS.
144 144  
145 145  
146 -==== **4. Write a Data Descriptor** ====
137 +==== **4. Write a Data Descriptor ** ====
147 147  
139 +[[image:https://lh4.googleusercontent.com/lMYEKOXzejbBydOdotWWteXQo7j363xRyntBGjcPZVEdtIU1CJYX7q1STpdr2JPZK4hpWWXk20UlkUOqDGL5kX6vnQVBSdrfUo6EGfXOwpuGq1Uygv0tTZJ0lRO6voJvg56QC2mufvjAcRXGfAKFOjtc6w=s2048||height="94px;" width="94px;"]]**Write a data descriptor by filling in **[[this template>>https://drive.ebrains.eu/f/a2e07c95b1a54090bbbc/?dl=1]]** . **
148 148  
149 -
150 -(% style="margin-right:10px" %)[[image:https://lh4.googleusercontent.com/lMYEKOXzejbBydOdotWWteXQo7j363xRyntBGjcPZVEdtIU1CJYX7q1STpdr2JPZK4hpWWXk20UlkUOqDGL5kX6vnQVBSdrfUo6EGfXOwpuGq1Uygv0tTZJ0lRO6voJvg56QC2mufvjAcRXGfAKFOjtc6w=s2048||height="94px;" width="94px;"]](%%)**Write a data descriptor by filling in **[[this template>>https://drive.ebrains.eu/f/a2e07c95b1a54090bbbc/?dl=1]]**.**
151 -
152 152  The Data Descriptor is a document helping others interpret and reuse (and prevent misuse) of your data, and is critical to achieve a basic level of FAIR. The document will be uploaded in the repository of the data, shared as a PDF. 
153 153  
154 154  See our infographic about the data descriptor for inspiration or guidance.
... ... @@ -157,195 +157,199 @@
157 157  
158 158  Journal publications sufficiently describing the shared data, such as made available through [[Nature Scientific Data>>http://www.nature.com/sdata/about]], [[Elsevier Data in Brief>>http://www.journals.elsevier.com/data-in-brief/]], [[BMC Data note>>https://bmcresnotes.biomedcentral.com/submission-guidelines/preparing-your-manuscript/data-note]] and more, can replace the EBRAINS Data Descriptor.
159 159  
149 +==== [[[[image:image-20230324171109-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]//The EBRAINS Data descriptor at-a-glance// ====
160 160  
161 -(% class="box floatinginfobox" id="data-descriptor-infographic" %)
151 +
152 +==== **5. Preview and publish ** ====
153 +
154 +
155 +[[image:https://lh4.googleusercontent.com/XqT26Q4yWJK26cjtjhI4ToXoZZMxhT9LimG4Hk9mePxy0-KPKgpVIzcuiP5mOQowBgf2JjkrWUq2VbCmafWWZPJplEZALnFOlCZHLlQgzOx7fFwoBteyi_IlMLkPBS9vtOcdNIZ59HyLnQz4RsTQ0lUrSw=s2048||height="91px;" width="91px;"]]**Preview and approve the release of your dataset. **Once a Curator has assembled the dataset in the EBRAINS Knowledge Graph, combining the data, metadata and data descriptor, the data provider will receive a private URL for previewing the dataset prior to release. We need an official approval from the data custodian{{footnote}}The Data Custodian is responsible for the content and quality of the Data and metadata, and is the person to be contacted by EBRAINS CS in case of any misconduct related to the Data. It is the obligation of a Data Custodian to keep EBRAINS informed about changes in the contact information of the authors of the Datasets provided by them ([[EBRAINS Data Provision Protocol - version 1.1>>https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]]).{{/footnote}} to release the dataset. Once released, a [[DataCite DOI>>https://datacite.org/]] will be generated for the dataset. If the identical data collection has received a DOI elsewhere, we recommend re-using the already issued DOI.
156 +
157 +
158 +----
159 +
160 +==== **Sharing human subject data ** ====
161 +
162 +(% class="box floatinginfobox" %)
162 162  (((
163 -(% style="text-align:center" %)
164 -//Download our infographic
165 -about the EBRAINS Data//
166 -//Descriptor//
167 -// //
168 -[[~[~[image:image-20230324171109-1.png~|~|height="150" width="106"~]~]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
169 -)))
164 +**Human subject data that can be shared on EBRAINS:**
170 170  
171 -==== **5. Preview and publish** ====
166 +- Post-mortem data
167 +- Aggregated data
168 +- Strongly pseudonymized or de-identified subject data with a legal basis for sharing (e.g. Informed Consent)
172 172  
170 +(% class="small" %)//If you have human data that does not classify as any of the above, please get in touch and we will clarify the available options. //
171 +)))
173 173  
174 -(% style="margin-right:10px" %)[[image:https://lh4.googleusercontent.com/XqT26Q4yWJK26cjtjhI4ToXoZZMxhT9LimG4Hk9mePxy0-KPKgpVIzcuiP5mOQowBgf2JjkrWUq2VbCmafWWZPJplEZALnFOlCZHLlQgzOx7fFwoBteyi_IlMLkPBS9vtOcdNIZ59HyLnQz4RsTQ0lUrSw=s2048||height="91px;" width="91px;"]](%%)**Preview and approve the release of your dataset. **
173 +Human subject data shared on EBRAINS must comply with [[GDPR >>https://gdpr-info.eu/]]and [[EU directives>>https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32010L0063]]. The information we need to assess this is collected via our [[Ethics and Regulatory Compliance Survey>>https://nettskjema.no/a/224765]].
175 175  
176 -Once a Curator has assembled the dataset in the EBRAINS Knowledge Graph, combining the data, metadata and data descriptor, the data provider will receive a private URL for previewing the dataset prior to release. We need an official approval from the data custodian{{footnote}}The Data Custodian is responsible for the content and quality of the Data and metadata, and is the person to be contacted by EBRAINS CS in case of any misconduct related to the Data. It is the obligation of a Data Custodian to keep EBRAINS informed about changes in the contact information of the authors of the Datasets provided by them ([[EBRAINS Data Provision Protocol - version 1.1>>https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]]).{{/footnote}} to release the dataset. Once released, a [[DataCite DOI>>https://datacite.org/]] will be generated for the dataset. If the identical data collection has received a DOI elsewhere, we recommend re-using the already issued DOI.
175 +Post-mortem and aggregated human data can be shared openly, given direct identifiers in the metadata are removed. Strongly pseudonymized and de-identified data can be shared via the Human Data Gateway (HDG).
177 177  
177 +The Human Data Gateway (HDG) was introduced in February 2021 as a response to the needs of multiple data providers who are bringing human subject data to EBRAINS. HDG covers the sharing of strongly pseudonymized or de-identified data, a limited range human subject data without direct identifiers and with very few indirect identifiers.
178 178  
179 +The HDG adds an an authentication layer on top of the data. This means that **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. **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.
179 179  
181 +The HDG 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.
180 180  
183 +
181 181  ----
182 182  
183 183  === Step by Step - Models ===
184 184  
185 185  
186 -==== 1. Start early ====
189 +~1. Request curation using the [[Curation request form>>https://nettskjema.no/a/277393#/]]. You will be contacted by a curator with more information.
187 187  
188 -It is not necessary to wait until you are ready to publish to register your model with EBRAINS.
189 189  
190 -By registering a model early in your project, you can take advantage of EBRAINS tools
191 -to keep track of simulations and to share them with your collaborators.
192 +//Additional information will be added soon.//
192 192  
193 -==== 2. Create/choose a Collab workspace ====
194 +----
194 194  
195 -We use EBRAINS Collaboratory "collab" workspaces to help manage the model curation process.
196 +=== Step by Step - Software ===
196 196  
197 -In particular, we use collab membership (the "Team") to control who can view or edit your model metadata prior to publication.
198 +[[[[image:Screenshot 2023-06-06 1122082.png||alt="swc-flow.png" height="136" width="637"]]>>https://www.ebrains.eu/tools/ebrains-curation-request-form||rel="noopener noreferrer" target="_blank"]]
198 198  
199 -It is up to you whether you create a new collab for each model, or reuse an existing collab
200 -(it is no problem to have multiple models associated with a single collab).
200 +~1. Fill in the [[request form>>https://www.ebrains.eu/tools/ebrains-curation-request-form]]. You'll be contacted by a curator with further instructions. In these instructions, you will find the links to your software and software version entries in the Knowledge Graph.
201 201  
202 -Collabs are also useful for storing simulation results, adding documentation for your model,
203 -and/or providing tutorials in Jupyter notebooks.
202 +2. Enter the metadata of your software in your private space of the [[Knowledge Graph Editor>>url:https://editor.kg.ebrains.eu/]] by using the links provided by the curator. Please provide the metadata for your software as complete as possible. This makes it easier for users to find and use your software. If you have questions feel free to contact the curation support. After you have finished editing your entries, please let the curators know by replying to your ticket. We curate your metadata and get back to you, if necessary.
204 204  
205 -==== 3. Upload code ====
204 +3. After a quality check, we integrate and publish the information to the Knowledge Graph. Your software is then searchable and usable for the neuroscience community.
206 206  
207 -We recommend storing model code and/or configuration files in an online Git repository, for example on GitHub.
208 -This repository should be public when you publish the model, but a private repository can be used for model development.
206 +If you want to add a new version to an already curated software, please request this via the [[curation request form>>https://nettskjema.no/a/277393]].
209 209  
210 -Alternatively, you can upload code to the Collab Drive or Bucket storage.
208 +For more information, visit our [[Guide to Software Curation in the EBRAINS Knowledge Graph>>url:https://wiki.ebrains.eu/bin/view/Collabs/swc-guide]] or see our infographic below.
211 211  
212 -==== 4. Submit metadata ====
210 +(% style="text-align: right;" %)
211 +==== //Software curation at a glance          //[[[[image:Thumb2.png||alt="EBRAINS-Share-Software.pdf" height="287" width="197"]]>>attach:EBRAINS-Share-Software-4.pdf]] ====
213 213  
214 -We recommend submitting metadata using the Model Catalog app, installed in your collab.
213 +----
215 215  
216 -To install it:
215 +== **The openMINDS metadata framework** ==
217 217  
218 -1. click the "+ Create" button
219 -1. in the "Create Page" form, add a title, such as "Model Catalog", and select "Community App", then click "Create"
220 -1. scroll down until you find the "Model Catalog" app, click "Select", then "Save & View"
217 +openMINDS (open Metadata Initiative for Neuroscience Data Structures) is a community-driven, open-source metadata framework for graph database systems, such as the EBRAINS Knowledge Graph. It is composed of linked metadata models, libraries of serviceable metadata instances, and supportive tooling ([[openMINDS Python>>url:https://pypi.org/project/openMINDS/]], openMINDS Matlab). For exploring the openMINDS schemas, go to the [[HTML documentation>>url:https://humanbrainproject.github.io/openMINDS/]]. For a full overview of the framework, go to [[the openMINDS collab>>url:https://wiki.ebrains.eu/bin/view/Collabs/openminds/]] or the [[GitHub repository>>https://github.com/HumanBrainProject/openMINDS]].
221 221  
222 -You will then see a table of all the models and validation tests associated with this collab.
223 -If this is your first time using the app, the table will probably be empty.
224 -To add your model, click "+", fill in the form, then click "Add model".
219 +For feedback, requests, or contributions, please get in touch with the openMINDS development team via
225 225  
226 -As development of your model proceeds, you can easily register new versions of the code,
227 -and new parameterizations, by clicking "Add new version".
221 +* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
222 +* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
223 +* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
228 228  
229 -If you prefer not to use the app, you can instead fill in the [[EBRAINS Curation Request Form>>https://nettskjema.no/a/386195]].,
230 -and you will be contacted by e-mail with further instructions.
225 +----
231 231  
232 -==== 5. Provide a reference dataset ====
227 +== **The curation team: meet the curators** ==
233 233  
234 -Once you're ready to publish your model entry in the EBRAINS Knowledge Graph,
235 -we encourage you to provide a dataset containing the simulation results produced by your model,
236 -following the process under "Step by step - Data" above.
229 +The EBRAINS curators help researchers publish their research using the EBRAINS Research Infrastructure. A curator’s job is similar to the job of an editor of a scientific journal, checking the data is organized, understandable, accessible and sufficiently described.
237 237  
238 -These reference data will be linked to the model, and will be helpful to anyone trying to
239 -reuse your model.
231 +The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris. 
232 +
240 240  
241 -We will soon introduce a "Reproducible" badge for all models that include a reference dataset,
242 -and whose simulation results can be reproduced by an EBRAINS curator.
234 +**Located in Norway:**
243 243  
244 -==== 6. Request publication, preview and publish ====
236 +|(% style="width:303px" %)(((
237 +[[image:My project2.jpg||height="209" width="167"]]
245 245  
246 -Until you request your model entry to be published in the EBRAINS Knowledge Graph,
247 -only members of the collab will be able to view the model entry, in the Model Catalog app
248 -or using the Model Validation Python client.
239 +**Archana Golla**
249 249  
250 -After publication, the model will appear in the [[EBRAINS public search results>>https://search.kg.ebrains.eu/?category=Model||rel="noopener noreferrer" target="_blank"]], and will receive a DOI.
241 +(% class="small" %)Curation Scientist
242 +Neuroscience (PhD)(%%)
243 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
244 +)))|(% style="width:303px" %)(((
245 +[[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
251 251  
252 -To request publication, [[contact EBRAINS support>>https://ebrains.eu/support||rel="noopener noreferrer" target="_blank"]], providing the collab name and the model name or ID.
247 +**Camilla H. Blixhavn**
253 253  
249 +(% class="small" %)Curation Scientist,
250 +Phd Student
251 +Neuroscience (M. Sc.)(%%)
252 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
253 +)))|(% style="width:303px" %)(((
254 +[[image:My project (1).jpg||height="209" width="167"]]
254 254  
255 -Curators will then perform a number of checks:
256 +**Ingrid Reiten**
256 256  
257 -1. Does the model description provide sufficient context to understand the purpose and use of the model?
258 -1. Does the code repository contain a licence file, explaining the conditions for reusing the code?
259 -1. Does the model have a clearly defined version identifier (e.g. v1.0)? For models in a Git repository, the version identifier should match the name of a tag or release.
258 +(% class="small" %)Curation Scientist,
259 +Phd Student
260 +Neuroscience (M. Sc.)(%%)
261 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
262 +)))|(% style="width:303px" %)(((
263 +[[image:My project1.jpg||height="209" width="167"]]
260 260  
261 -The curators will also take a snapshot of your model code.
265 +**Sophia Pieschnik**
262 262  
263 -* For models in public Git repositories, we archive a copy of the repository in [[Software Heritage>>https://www.softwareheritage.org/||rel="noopener noreferrer" target="_blank"]].
264 -* For models in a collab Bucket or Drive, we make a read-only copy of the code in a public container in the EBRAINS repository.
267 +(% class="small" %)Curation Scientist
268 +Neurocognitive Psychology (M. Sc.)(%%)
269 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
270 +)))
265 265  
266 -Once this is done, you will be invited to review a preview of how the model entry will appear in the KG Search,
267 -and will have the opportunity to request modifications prior to approval and publication.
272 +|(% style="width:303px" %)(((
273 +[[image:My project.jpg||height="209" width="167"]]
268 268  
269 -----
275 +**Heidi Kleven**
270 270  
271 -=== Step by Step - Software ===
277 +(% class="small" %)Curation Scientist,
278 +Phd Student
279 +Neuroscience (M. Sc.)(%%)
280 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
281 +)))| | |
272 272  
273 -We ask software developers to provide their metadata in the "CodeMeta" format. [[CodeMeta>>https://codemeta.github.io/]] is a common format for software metadata, supported by GitHub, Zenodo, FigShare, DataCite, and the US National Science Foundation.
283 +
284 +\\**Located in Germany:**
274 274  
275 -1. Create a codemeta.json file for your software. There are several [[tools>>https://codemeta.github.io/tools/]] to help you do this, for example the [[CodeMeta generator>>https://codemeta.github.io/codemeta-generator]] app. Please fill in as many of the fields as possible.
276 -1. Place this file in the root folder of your code repository.
277 -1. Contact [[EBRAINS support>>https://www.ebrains.eu/contact/]] to request curation of your software, letting us know the URL of your code repository. If you need help hosting your code online, please also let us know.
278 -1. After a quality check, we integrate and publish the information contained in your codemeta.json file to the Knowledge Graph. Your software is then searchable and usable for the neuroscience community.
286 +|(% style="width:303px" %)(((
287 +[[image:My project (2).jpg||height="209" width="167"]]
279 279  
280 -When you release a new version of your software, just update the codemeta.json file in your repository. We will check the repository on a regular basis, and if the version identifier has changed the Knowledge Graph will be updated accordingly.
289 +**Jan Gündling**
281 281  
282 -----
291 +(% class="small" %)Curation Scientist,
292 +Phd Student
293 +Sensors and Cognitive Psychology (M. Sc.)(%%)
294 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
295 +)))|(% style="width:303px" %)(((
296 +
283 283  
284 -=== Sharing human subject data ===
285 285  
286 -(% class="box floatinginfobox" %)
287 -(((
288 -**Human subject data that can be shared on EBRAINS:**
289 -// //
290 -// - Post-mortem data//
291 -// - Aggregated data//
292 -// - Strongly pseudonymized or de-identified subject data//
293 -// with a legal basis for sharing (e.g. Informed Consent)//
294 -// //
295 295  
296 -(% class="small" %)
297 -//If you have human data that does not qualify as any of the above,//
298 -//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
299 -)))
300 300  
301 301  
302 -Human subject data shared on EBRAINS must comply with [[GDPR >>https://gdpr-info.eu/]]and [[EU directives>>https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32010L0063]]. The information we need to assess this is collected via our [[Ethics and Regulatory Compliance Survey>>https://nettskjema.no/a/224765]].
303 303  
304 -Post-mortem and aggregated human data can be shared openly, given direct identifiers in the metadata are removed. Strongly pseudonymized and de-identified data can be shared via the Human Data Gateway (HDG).
305 305  
306 -The Human Data Gateway (HDG) was introduced in February 2021 as a response to the needs of multiple data providers who are bringing human subject data to EBRAINS. HDG covers the sharing of strongly pseudonymized or de-identified data, a limited range human subject data without direct identifiers and with very few indirect identifiers.
307 307  
308 -The HDG adds an an authentication layer on top of the data. This means that **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. **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.
309 309  
310 -The HDG 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.
311 311  
312 -----
313 313  
314 -== **The openMINDS metadata framework** ==
308 +**Lyuba Zehl**
315 315  
316 -(% class="box floatinginfobox" %)
317 -(((
318 -[[~[~[image:https://github.com/HumanBrainProject/openMINDS/raw/main/img/light_openMINDS-logo.png~|~|alt="openMINDS logo" height="87" width="164"~]~]>>https://github.com/HumanBrainProject/openMINDS]]
319 -)))
310 +(% class="small" %)Knowledge Systems Engineer
311 +Dr. rer. nat. (Systems Neuroscience)(%%)
312 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
313 +)))|(% style="width:303px" %) |
320 320  
321 -openMINDS is a community-driven, open-source metadata framework for linked data, as used in graph database systems, such as the EBRAINS Knowledge Graph. It is composed of multiple metadata models with interlinked schemas, libraries of serviceable metadata instances, and supportive tooling (e.g., [[openMINDS Python>>https://github.com/openMetadataInitiative/openMINDS_Python]] or [[openMINDS Matlab>>https://github.com/openMetadataInitiative/openMINDS_MATLAB]]). A full documentation (for users and contributors) of the openMINDS framework can be found on [[ReadTheDocs>>https://openminds-documentation.readthedocs.io||rel="noopener noreferrer" target="_blank"]].
315 +----
322 322  
323 -For feedback, requests, or contributions, please get in touch with the openMINDS development team via
317 +== **Add practical value to your shared data, model or software** ==
324 324  
325 -* [[support@openmetadatainitiative.org>>mailto:mailto:support@openmetadatainitiative.org]]
326 -* [[GitHub Issues>>https://github.com/openMetadataInitiative/openMINDS/issues]] (for metadata schemas)
327 -* [[GitHub Issues>>https://github.com/openMetadataInitiative/openMINDS_instances/issues]] (for metadata instances)
328 -* [[openMINDS Community Forum>>https://neurostars.org/t/openminds-community-forum-virtual]]
329 329  
330 330  ----
331 331  
332 -== **Add practical value to your shared data, model or software** ==
322 +=== **Showcase shared data, models or software in other services** ===
333 333  
324 +Below is a list of additional services that data, models or software shared via EBRAINS can benefit from. EBRAINS is continuously looking to increase the number of interoperable services.
334 334  
335 -=== **Showcase shared data, models or software in other services** ===
326 +**Viewer for 2D images **
336 336  
337 -Below is a list of additional services that data, models or software shared via EBRAINS can benefit from. EBRAINS is continuously looking to increase the number of interoperable services.
328 +* Integrate image data with //the Mio viewer//: EBRAINS Multi-Image OpenSeadragon viewer provides an intuitive way of navigating high-resolution 2D image series. It has browser-based classic pan and zoom capabilities. A collection can be displayed as a filmstrip (Filmstrip Mode) or as a table (Collection Mode) with adjustable number of row and columns. See [[Mio viewer links available for this dataset>>https://search.kg.ebrains.eu/?category=Dataset&q=nr2f1#9677359c-73fa-4425-b8fa-3de794e9017a]] as an example. MioViewer user manual is found [[here>>https://multi-image-osd.readthedocs.io/en/latest/index.html]].
338 338  
330 +**Viewer for sequential atlas-registered 2D images with annotation options**
339 339  
340 -|(% colspan="2" %)**Viewer for 2D images**
341 -|[[image:MIO_screenshot.PNG]]|Integrate image data with //SeriesZoom viewer//: EBRAINS viewer provides an intuitive way of navigating high-resolution 2D image series. It has browser-based classic pan and zoom capabilities. A collection can be displayed as a filmstrip (Filmstrip Mode) or as a table (Collection Mode) with adjustable number of row and columns. See [[viewer links available for this dataset>>https://search.kg.ebrains.eu/?category=Dataset&q=nr2f1#9677359c-73fa-4425-b8fa-3de794e9017a]] as an example.
342 -|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
343 -|[[image:LZ_screenshot.PNG]]|Integrate atlas-registered 2D image data with //the LocaliZoom viewer//: The EBRAINS LocaliZoom serial section viewer displays series of registered 2D section images with atlas overlay, allowing the users to zoom into high-resolution images and have information about the brain regions. See the [[LocaliZoom links available for this dataset>>https://doi.org/10.25493/T686-7BX]] as an example. LocaliZoom user manual is found [[here>>https://localizoom.readthedocs.io/en/latest/index.html]].
344 -|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
345 -|[[image:3Datlas_screenshot.PNG]]|Upload your data to the //Siibra-explorer//: The siibra-explorer is used for visualizing volumetric brain data in all the brain atlases provided by EBRAINS (Human, Monkey, Rat and Mouse). The siibra-explorer viewer uses siibra-api to enable navigation of brain region hierarchies, maps in different coordinate spaces, and linked regional data features. Furthermore, it is connected with the siibra toolsuite providing several analytical workflows. To learn more about how to register your data to atlases, read about the [[Atlas services on ebrains.eu>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]].
346 -|(% colspan="2" %)**Use your research product in an interactive publication**
347 -|[[image:LivePaper_screenshot.PNG]]|Add your data, models or software to a// Live paper. //Read more about [[Live papers on ebrains.eu>>https://www.ebrains.eu/data/live-papers/live-papers]].
332 +* Integrate atlas-registered 2D image data with //the LocaliZoom viewer//: The EBRAINS LocaliZoom serial section viewer displays series of registered 2D section images with atlas overlay, allowing the users to zoom into high-resolution images and have information about the brain regions. See the [[LocaliZoom links available for this dataset>>https://doi.org/10.25493/T686-7BX]] as an example. LocaliZoom user manual is found [[here>>https://localizoom.readthedocs.io/en/latest/index.html]].
348 348  
334 +**Use your research product in an interactive publication **
335 +
336 +* Add your data, models or software to a// Live paper. //Read more about [[Live papers on ebrains.eu>>https://www.ebrains.eu/data/live-papers/live-papers]].
337 +
338 +**Interactive 3D atlas viewer with options for data visualization**
339 +
340 +* Upload your data to //the Siibra//-explorer: The siibra-explorer is used for visualizing volumetric brain data in all the brain atlases provided by EBRAINS (Human, Monkey, Rat and Mouse). The siibra-explorer viewer uses siibra-api to enable navigation of brain region hierarchies, maps in different coordinate spaces, and linked regional data features. Furthermore, it is connected with the siibra toolsuite providing several analytical workflows. To learn more about how to register your data to atlases, read about the [[Atlas services on ebrains.eu>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]].
341 +
349 349  ----
350 350  
351 351  ==== **Add a tutorial or learning resource ** ====
... ... @@ -361,19 +361,8 @@
361 361  
362 362  ----
363 363  
364 -== **EBRAINS commits to the FAIR principles** ==
357 +=== **The benefits of sharing data ** ===
365 365  
366 -In 2016, the 'FAIR Guiding Principles for the management and guardianship of scientific data'{{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}} were introduced to the scientific community. The objective of the authors was to provide a set of general recommendations aimed at enhancing the Findability, Accessibility, Interoperability, and Reusability of digital resources (data). They emphasize the importance of making data more open, discoverable, and usable, ultimately facilitating collaboration and knowledge sharing within the scientific community. Today, the FAIR principles are widely recognized and adopted as best practices in data management and stewardship across scientific fields.
367 -
368 -In EBRAINS, all datasets, models and software shared go through a streamlined curation process that ensures relevant annotation of the data using the [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS]] metadata framework and integration into the [[EBRAINS Knowledge Graph>>url:https://docs.kg.ebrains.eu/]] metadata management system. The research products are Findable and Accessible through the [[Knowledge Graph Search>>url:https://search.kg.ebrains.eu/?category=Dataset]] as dataset/model/software cards that display further information regarding the dataset's Interoperability and Reusability.
369 -
370 -To further specify how EBRAINS aligns with the FAIR principles, we have assessed the FAIRness of datasets shared in the EBRAINS Knowledge Graph following the [[FAIRsFAIR Data Object Assessment Metrics>>https://zenodo.org/record/6461229||style="background-color: rgb(255, 255, 255); --darkreader-inline-bgcolor: #1c1e1f;"]]: see our **[[FAIR assessment of EBRAINS datasets>>doc:.FAIR assessment of EBRAINS datasets.WebHome]]. **
371 -
372 -
373 -----
374 -
375 -== **General benefits of sharing data ** ==
376 -
377 377  By sharing your data via EBRAINS, you gain access to the following benefits:
378 378  
379 379  [[image:image-20230324170841-3.png]]
... ... @@ -380,53 +380,63 @@
380 380  
381 381  
382 382  
383 -We support you to better follow the [[FAIR^^ ^^guiding principles>>https://www.nature.com/articles/sdata201618]] for data management and stewardship. 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.
365 +We support you to better follow the [[FAIR^^ ^^guiding principles>>https://www.nature.com/articles/sdata201618]] 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.
384 384  
385 385  ----
386 386  
387 -== **Frequently asked questions ** ==
369 +=== **Frequently asked questions ** ===
388 388  
389 ->Is the curation process time consuming and difficult?
371 +(((
372 +==== ====
390 390  
391 -No, if communication is on a regular basis, we are able to finish curation within two weeks. Publishing your data naturally takes some effort but we will support you as much as possible.
374 +(((
375 +>The curation process is time consuming and difficult
376 +)))
377 +)))
392 392  
393 ->Is sharing my data also beneficial for me or only for others?
379 +(% class="wikigeneratedid" id="HHowcanIshareA0models3F" %)
380 +Publishing your data naturally takes some time and effort but we will support you as much as possible. If communication is on a regular basis, we are able to finish basic curation - from the initial contact to dataset release - within two weeks.
394 394  
382 +>Sharing my data is not beneficial for me - only for others
383 +
384 +
395 395  When you publish your data via EBRAINS, we provide comprehensive data management support and safe long term storage - all free of charge. Additionally, your data can be cited, just like a scientific journal article. Sharing your data may even lead to new funding opportunities. Many funders specifically support projects that are part of the “Open Science” initiative.
396 396  
397 ->Can my data be too insignificant to share?
387 +>My data is too insignificant to share
398 398  
399 -No, there is no such thing as insignificant data. Data that is considered insignificant for a given topic, may have great significance for another. By making “insignificant” data publicly available, other researchers may find something interesting that was off-topic for your own purposes.
400 400  
401 ->Can my data be easily misused if I share it?
390 +There is no such thing as insignificant data. Data that is considered insignificant for a given topic, may have great significance for another. By making “insignificant” data publicly available, other researchers may find something interesting that was off-topic for your own purposes.
402 402  
403 -No, your data will be covered by a Creative Commons license of your choice. There are a variety of licenses available, enabling you to prevent use for specific purposes, e.g. commercial use.
392 +>My data can easily be misused if I share it with the world
404 404  
405 ->Can I share my data before my paper is published?
406 406  
407 -Yes, if you do not want to share your data before publishing the results in an article, you can publish your dataset with an embargo status. This will make it possible to find information about the data without making the data itself available, and give you a citeable DOI.
395 +Your data will be covered by a Creative Commons license of your choice. There are a variety of licenses available, enabling you to prevent use for specific purposes, e.g. commercial use.
408 408  
409 ->Can I lose my competitive edge if I share my data before I publish the associated paper?
397 +>I don't think I'm allowed to share my data
410 410  
411 -No, publishing your data does not mean that others can use it however they want. Use of your data will require citation, and by choosing an appropriate Creative Commons licence you decide what others are allowed to do with it. If you still feel worried, you can publish your data under embargo, and in this way delay the date of data release, but still make it possible for others to find the information about the data.
412 412  
400 +Many institutions are still very careful about what can be shared and how, but the situation is constantly evolving. As a researcher providing data, you will be asked to fill out an ethics compliance survey which survey to ensure that data published through the EBRAINS platform has been collected according to EU regulations. We are working on solutions for sharing anonymised human data that complies with GDPR standards to protect the identity of research subjects.
413 413  
414 -== Contact ==
402 +>I can't share my data before my paper is published
415 415  
416 -[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
417 417  
418 -----
405 +If you do not want to share your data before publishing the results in an article, you can publish your dataset with an embargo status. This will make it possible to find information about the data without making the data itself available, and give you a citeable DOI.
419 419  
420 -== Affiliated laboratories ==
407 +>If I share my data before I publish the associated paper, I will lose my competitive edge
421 421  
422 -//Institute of Basic Medical Sciences,** **University of Oslo, Norway (PI: Jan G. Bjaalie, Trygve B. Leergaard)//
423 423  
424 -//Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany (PI: Timo Dicksheid)//
410 +Publishing your data does not mean that others can use it however they want. Use of your data will require citation, and by choosing an appropriate Creative Commons licence you decide what others are allowed to do with it. If you still feel worried, you can publish your data under embargo, and in this way delay the date of data release, but still make it possible for others to find the information about the data.
425 425  
426 -//Paris-Saclay Institute of Neuroscience, CNRS, Université Paris-Saclay, France (PI: Andrew P. Davison)//
427 427  
428 428  ----
429 429  
430 -== References ==
415 +== Contact ==
431 431  
417 +[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
418 +
419 +
432 432  {{putFootnotes/}}
421 +~)~)~)~)~)~)
422 +~)~)~)
423 +~)~)~)~)~)~)~)~)~)
424 +~)~)~)~)~)~)
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