Changes for page data-curation-copy

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To version 147.1
edited by ingrreit
on 2023/06/05 09:24
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18 -
19 -
20 20  == Publishing neuroscience data, models and software via EBRAINS ==
21 21  
22 22  
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27 27  {{toc depth="3" start="2"/}}
28 28  {{/box}}
29 29  
11 +
30 30  == **Information to get started** ==
31 31  
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. **
14 +**Get started! [[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] to share data, simulations, computational models, and software, - or 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 -)))
19 +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. 
... ... @@ -50,7 +50,7 @@
50 50  
51 51  (% class="box successmessage" %)
52 52  (((
53 -**Particular needs? Contact us! **The workflows for sharing can be modified for researchers or research groups aiming to frequently publish larger numbers of their research products through EBRAINS. Please contact the curation service team in such cases. Reach us at [[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
32 +**Particular needs? Contact us! **The workflows for sharing can be modified for researchers or research groups aiming to frequently publish larger numbers of their research products through EBRAINS. Please contact the curation service team in such cases
54 54  )))
55 55  
56 56  ----
... ... @@ -57,6 +57,11 @@
57 57  
58 58  == **The EBRAINS curation process** ==
59 59  
39 +(% class="box successmessage" %)
40 +(((
41 +EBRAINS accepts **experimental data,** of all modalities and from all species, **models**, **software**, **web services **and **metadata models**. You'll find detailed information about each research product below.
42 +)))
43 +
60 60  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. 
61 61  
62 62  >The EBRAINS curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
... ... @@ -63,294 +63,137 @@
63 63  
64 64  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.
65 65  
66 -Curated data, models and software are made available in [[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 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 defined in [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS/wiki]].Data and models are linked to and discoverable via the species-specific [[EBRAINS siibra 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]].
50 +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]].Data and models are linked to and discoverable via the species-specific [[EBRAINS siibra 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]].
67 67  
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  
53 +(% class="box infomessage" %)
54 +(((
55 +
56 +)))
70 70  
58 +(% class="box successmessage" %)
59 +(((
60 +
61 +)))
62 +
71 71  ----
72 72  
73 -=== Step by step - Data ===
65 +=== Step by step - Experimental data ===
74 74  
75 75  
76 76  [[image:image-20230326054341-1.png]]
77 77  
78 -(% class="box floatinginfobox" id="share-data-infographic" %)
79 -(((
80 -(% style="text-align:center" %)
81 -//Download our infographic//
82 -//with all you need to know//
83 -//to share data on EBRAINS: //
84 -// //
85 -[[[[image:image-20230324171114-2.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
86 -)))
70 +==== ====
87 87  
88 -
89 89  ==== **1. Provide some general information about your dataset** ====
90 90  
74 +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.
91 91  
76 +The [[Ethics and Regulatory compliance form>>https://nettskjema.no/a/224765]] collects the necessary information needed for us to evaluate whether we can safely and legally share the data on the EBRAINS platforms.
92 92  
93 -(% style="margin-right:10px" %)[[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 -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 -
97 -
98 -(% style="margin-right:10px" %)[[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]]**.
99 -
100 -This form collects the necessary information needed for us to evaluate whether we can ethically and legally share the data via EBRAINS.
101 -
102 -See below for information about the ethical and legal aspects concerning sharing of human subject data.
103 -
104 -
105 105  ==== **2. Upload data ** ====
106 106  
107 -(% class="box floatinginfobox" id="share-data-infographic" %)
108 -(((
109 -(% style="text-align:center" %)
110 -//Download our infographic//
111 -//with guidelines
112 -on data organization: //
81 +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. 
113 113  
114 -(% style="text-align:center" %)
115 -[[[[image:image-20230621121014-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/lib/f5cf4964-f095-49bd-8c34-e4ffda05a497/file/ebrains-infographic-data-organisation.pdf/]]
116 -)))
83 +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.
117 117  
118 -(% 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. **
85 +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.
119 119  
120 -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.
121 121  
122 -(% 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).**
123 -
124 -**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.
125 -
126 -**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.
127 -
128 -
129 -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. 
130 -
131 131  If a data collection is already uploaded elsewhere, we may link to the already existing repository.
132 132  
133 133  
134 134  ==== **3. Submit metadata** ====
135 135  
93 +Easily submit openMINDS-compatible metadata via our [[metadata wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]. This form covers all the required metadata for sharing data via EBRAINS. When you're ready to 'Submit', the metadata and all uploaded files will be sent to the Curation team.
136 136  
137 -(% 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) **
95 +For power-users interested in exploring the full span of the openMINDS framework, please check out the [[openMINDS GitHub>>https://github.com/HumanBrainProject/openMINDS]] to learn more about how to programmatically gather your metadata. A stable version of the openMINDS package can be found on [[PyPi>>https://pypi.org/project/openMINDS/]]. We accept openMINDS metadata as JSON-LD (share these with us via curation-support@ebrains.eu). Additional documentation of openMINDS metadata submodules and schemas can be found on [[the openMINDS GitHub Wiki>>https://humanbrainproject.github.io/openMINDS/]]. We have prepared [[a list of the metadata properties that are required>>https://drive.ebrains.eu/lib/47995dbc-f576-4008-a76c-eefbfd818529/file/ebrains-minimum-required-metadata.xlsx]] for publishing data on EBRAINS.
138 138  
139 -**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
140 140  
141 -**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:
98 +==== **4. Write a Data Descriptor ** ====
142 142  
143 -* 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.
144 -* [[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.
145 -* [[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.
146 -
147 -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.
148 -
149 -
150 -==== **4. Write a Data Descriptor** ====
151 -
152 -
153 -
154 -(% 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]]**.**
155 -
156 156  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. 
157 157  
158 -See our infographic about the data descriptor for inspiration or guidance.
102 +[[The template >>https://drive.ebrains.eu/f/a2e07c95b1a54090bbbc/?dl=1]]safely guides you through the process of making one. Check out previous examples in the KG Search, e.g. the Data Descriptor for a dataset containing histology images of the rat brain stained for an anterograde tracer (see [[an example>>https://doi.org/10.25493/2MX9-3XF]]).
159 159  
160 -Check out previous examples in the KG Search. See e.g., the data descriptor for the dataset "[[Anterogradely labeled axonal projections from the orbitofrontal cortex in rat>>https://doi.org/10.25493/2MX9-3XF]]".
161 161  
162 162  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.
163 163  
164 164  
165 -(% class="box floatinginfobox" id="data-descriptor-infographic" %)
166 -(((
167 -(% style="text-align:center" %)
168 -//Download our infographic
169 -about the EBRAINS Data//
170 -//Descriptor//
171 -// //
172 -[[[[image:image-20230324171109-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
173 -)))
108 +==== **5. Preview and publish ** ====
174 174  
175 -==== **5. Preview and publish** ====
110 +A Curator will assemble a dataset in the EBRAINS Knowledge Graph that combines the data, metadata and data descriptor. Once ready, 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.
176 176  
177 177  
178 -(% 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. **
179 -
180 -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.
181 -
182 -
183 183  ----
184 184  
185 -==== ====
115 +==== **Sharing human data ** ====
186 186  
187 -==== **Sharing human subject data** ====
188 -
189 189  (% class="box floatinginfobox" %)
190 190  (((
191 -**Human subject data that can be shared on EBRAINS:**
192 -// //
193 -// - Post-mortem data//
194 -// - Aggregated data//
195 -// - Strongly pseudonymized or de-identified subject data//
196 -// with a legal basis for sharing (e.g. Informed Consent)//
197 -// //
119 +For **Human subject data**, the data must be //either//
198 198  
199 -(% class="small" %)
200 -//If you have human data that does not qualify as any of the above,//
201 -//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
121 +- Post-mortem data
122 +- Aggregated data
123 +- Pseudonymized subject data with a legal basis for sharing (e.g. Informed Consent)
124 +
125 +(% class="small" %)//If you have human data that do not classify as any of the above, please get in touch and we will clarify the available options. //
202 202  )))
203 203  
128 +We must ensure data shared on EBRAINS 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]].
204 204  
205 -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]].
130 +Post-mortem and aggregated human data can be shared openly. Pseudonymized data is shared via the Human Data Gateway (HDG) due to GDPR regulations. The HDG adds an authentication layer to the data.
206 206  
207 -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).
132 +**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.
133 +\\**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.
134 +\\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.
208 208  
209 -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.
210 210  
211 -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.
212 -
213 -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.
214 -
215 -
216 216  ----
217 217  
218 218  === Step by Step - Models ===
219 219  
141 +(% style="color:#e74c3c" %){{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-1rb0hn"/}}
220 220  
221 -==== 1. Start early ====
143 +[place-holder-process-diagram]
222 222  
223 -It is not necessary to wait until you are ready to publish to register your model with EBRAINS.
145 +==== **1. model step 1 ** ====
224 224  
225 -By registering a model early in your project, you can take advantage of EBRAINS tools
226 -to keep track of simulations and to share them with your collaborators.
147 +Text
227 227  
228 -==== 2. Create/choose a Collab workspace ====
229 229  
230 -We use EBRAINS Collaboratory "collab" workspaces to help manage the model curation process.
150 +==== **2. model step 2** ====
231 231  
232 -In particular, we use collab membership (the "Team") to control who can view or edit your model metadata prior to publication.
152 +Text
233 233  
234 -It is up to you whether you create a new collab for each model, or reuse an existing collab
235 -(it is no problem to have multiple models associated with a single collab).
236 236  
237 -Collabs are also useful for storing simulation results, adding documentation for your model,
238 -and/or providing tutorials in Jupyter notebooks.
239 -
240 -==== 3. Upload code ====
241 -
242 -We recommend storing model code and/or configuration files in an online Git repository, for example on GitHub.
243 -This repository should be public when you publish the model, but a private repository can be used for model development.
244 -
245 -Alternatively, you can upload code to the Collab Drive or Bucket storage.
246 -
247 -==== 4.Submit metadata ====
248 -
249 -We recommend submitting metadata using the Model Catalog app, installed in your collab.
250 -
251 -To install it:
252 -
253 -1. click the "+ Create" button
254 -1. in the "Create Page" form, add a title, such as "Model Catalog", and select "Community App", then click "Create"
255 -1. scroll down until you find the "Model Catalog" app, click "Select", then "Save & View"
256 -
257 -You will then see a table of all the models and validation tests associated with this collab.
258 -If this is your first time using the app, the table will probably be empty.
259 -To add your model, click "+", fill in the form, then click "Add model".
260 -
261 -As development of your model proceeds, you can easily register new versions of the code,
262 -and new parameterizations, by clicking "Add new version".
263 -
264 -If you prefer not to use the app, you can instead fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]].,
265 -and you will be contacted by e-mail with further instructions.
266 -
267 -==== 5. Provide a reference dataset ====
268 -
269 -Once you're ready to publish your model entry in the EBRAINS Knowledge Graph,
270 -we encourage you to provide a dataset containing the simulation results produced by your model,
271 -following the process under "Step by step - Data" above.
272 -
273 -These reference data will be linked to the model, and will be helpful to anyone trying to
274 -reuse your model.
275 -
276 -We will soon introduce a "Reproducible" badge for all models that include a reference dataset,
277 -and whose simulation results can be reproduced by an EBRAINS curator.
278 -
279 -==== 6. Request publication, preview and publish ====
280 -
281 -Until you request your model entry to be published in the EBRAINS Knowledge Graph,
282 -only members of the collab will be able to view the model entry, in the Model Catalog app
283 -or using the Model Validation Python client.
284 -
285 -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.
286 -
287 -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.
288 -
289 -
290 -Curators will then perform a number of checks:
291 -
292 -1. Does the model description provide sufficient context to understand the purpose and use of the model?
293 -1. Does the code repository contain a licence file, explaining the conditions for reusing the code?
294 -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.
295 -
296 -The curators will also take a snapshot of your model code.
297 -
298 -* 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"]].
299 -* 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.
300 -
301 -Once this is done, you will be invited to review a preview of how the model entry will appear in the KG Search,
302 -and will have the opportunity to request modifications prior to approval and publication.
303 -
304 304  ----
305 305  
306 -=== Step by Step - Software ===
157 +=== Step by Step - Code ===
307 307  
159 +[[[[image:swc-flow-no-header.png||alt="swc-flow.png"]]>>https://www.ebrains.eu/tools/ebrains-curation-request-form||rel="noopener noreferrer" target="_blank"]]
308 308  
309 -(% class="box floatinginfobox" id="software-curation-infographic" %)
310 -(((
311 -(% style="text-align:center" %)
312 -//Software curation at a glance//
313 -// //
314 -[[[[image:Thumb2.png||alt="EBRAINS-Share-Software.pdf" height="287" width="197"]]>>attach:EBRAINS-Share-Software-4.pdf]]
315 -)))
316 -
317 -(% style="margin-left:15px" %)[[[[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"]]
318 -
319 -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.
320 -1. 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.
161 +1. Fill in the [[request form>>https://www.ebrains.eu/tools/ebrains-curation-request-form]].[[[[image:Thumb.png||alt="EBRAINS-Share-Software.pdf" height="377" style="float:right" width="257"]]>>attach:EBRAINS-Share-Software.pdf]]
162 +1. One of our creators will then open a ticket and contact you with futher instructions. In these instructions you will find the links to your software and software version entries in the Knowledge Graph.
163 +1. In the next step you need to enter the metadata of your software in the [[Knowledge Graph Editor>>url:https://editor.kg.ebrains.eu/]] by using the links provided in the ticket. The links will lead you to the space in the KG, which was created especially for you. You can start directly with the editing of your software. 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.
164 +1. 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.
321 321  1. 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.
322 322  
323 -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]].
167 +If you want to add a new version to an already curated software, please write to [[curation-support@humanbrainproject.eu>>path:mailto:curation-support@humanbrainproject.eu]] or open a ticket at [[https:~~/~~/support.humanbrainproject.eu/.>>url:https://support.humanbrainproject.eu/]]
168 +For more information, visit our [[guide>>url:https://wiki.ebrains.eu/bin/view/Collabs/swc-guide]].
324 324  
325 -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 on the right.
326 -
327 -
328 328  ----
329 329  
330 -== **The openMINDS metadata framework** ==
172 +=== Webservices and metadata models ===
331 331  
332 -(% class="box floatinginfobox" %)
333 -(((
334 -[[[[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]]
335 -)))
174 +(% class="wikigeneratedid" id="HContact...." %)
175 +(% style="color:#e74c3c; font-size:16px" %){{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-np253c"/}}(% style="color:#4a5568; font-size:16px" %)
336 336  
337 -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]].
338 -
339 -For feedback, requests, or contributions, please get in touch with the openMINDS development team via
340 -
341 -* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
342 -* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
343 -* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
344 -
345 345  ----
346 346  
347 347  == **The curation team: meet the curators** ==
348 348  
349 -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.
350 -
351 -The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris. 
352 -
353 -
354 354  **Located in Norway:**
355 355  
356 356  |(% style="width:303px" %)(((
... ... @@ -360,7 +360,7 @@
360 360  
361 361  (% class="small" %)Curation Scientist
362 362  Neuroscience (PhD)(%%)
363 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
190 +(% class="small" style="color:#4a5568" %)**Behavioral neuroscience and microscopy**
364 364  )))|(% style="width:303px" %)(((
365 365  [[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
366 366  
... ... @@ -369,7 +369,7 @@
369 369  (% class="small" %)Curation Scientist,
370 370  Phd Student
371 371  Neuroscience (M. Sc.)(%%)
372 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
199 +(% class="small" style="color:#4a5568" %)**Neuroanatomy and data integration**
373 373  )))|(% style="width:303px" %)(((
374 374  [[image:My project (1).jpg||height="209" width="167"]]
375 375  
... ... @@ -378,7 +378,7 @@
378 378  (% class="small" %)Curation Scientist,
379 379  Phd Student
380 380  Neuroscience (M. Sc.)(%%)
381 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
208 +(% class="small" style="color:#4a5568" %)**Neuroanatomy and structural connectivity**
382 382  )))|(% style="width:303px" %)(((
383 383  [[image:My project1.jpg||height="209" width="167"]]
384 384  
... ... @@ -386,7 +386,7 @@
386 386  
387 387  (% class="small" %)Curation Scientist
388 388  Neurocognitive Psychology (M. Sc.)(%%)
389 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
216 +(% class="small" style="color:#4a5568" %)**Neuroimaging **
390 390  )))
391 391  
392 392  |(% style="width:303px" %)(((
... ... @@ -397,7 +397,7 @@
397 397  (% class="small" %)Curation Scientist,
398 398  Phd Student
399 399  Neuroscience (M. Sc.)(%%)
400 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
227 +(% class="small" style="color:#4a5568" %)**Neuroanatomy and brain atlases**
401 401  )))| | |
402 402  
403 403  
... ... @@ -411,55 +411,69 @@
411 411  (% class="small" %)Curation Scientist,
412 412  Phd Student
413 413  Sensors and Cognitive Psychology (M. Sc.)(%%)
414 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
241 +(% class="small" style="color:#4a5568" %)**Human-Computer Interaction**
415 415  )))|(% style="width:303px" %)(((
416 -[[image:Lyuba.jpg||height="209" width="167"]]
243 +
417 417  
245 +
246 +
247 +
248 +
249 +
250 +
251 +
252 +
253 +
254 +
418 418  **Lyuba Zehl**
419 419  
420 420  (% class="small" %)Knowledge Systems Engineer
421 421  Dr. rer. nat. (Systems Neuroscience)(%%)
422 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
423 -)))|(% style="width:303px" %) |(% style="width:303px" %)
259 +(% class="small" style="color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
260 +)))|(% style="width:303px" %) |
424 424  
425 425  ----
426 426  
427 -== **Add practical value to your shared data, model or software** ==
264 +== **Information and resources for researchers looking to share data** ==
428 428  
266 +Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
429 429  
430 430  ----
431 431  
432 -=== **Showcase shared data, models or software in other services** ===
270 +=== **Improve your research product ** ===
433 433  
434 -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.
272 +(% class="wikigeneratedid" %)
273 +**{{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-fkdv6h"/}}**
435 435  
275 +==== **Add a tutorial or learning resource to your research product ** ====
436 436  
437 -|(% colspan="2" %)**Viewer for 2D images**
438 -|[[image:MIO_screenshot.PNG]]|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]].
439 -|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
440 -|[[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]].
441 -|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
442 -|[[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]].
443 -|(% colspan="2" %)**Use your research product in an interactive publication**
444 -|[[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]].
277 +==== (% style="color:#e74c3c" %)- Learning resource [information](%%) ====
445 445  
446 -----
447 447  
448 -==== **Add a tutorial or learning resource ** ====
280 +==== **Create a workflow for .... ? ** ====
449 449  
450 -(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
451 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
282 +==== (% style="color:#e74c3c" %)- Workflows [information](%%) ====
452 452  
284 +----
453 453  
454 -==== **Create a workflow** ====
286 +=== **Integrate your data, models or software with other services** ===
455 455  
456 -(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
457 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
288 +EBRAINS supports further integration for a variety of data, and is continuously looking to increase the number of interoperable services.
458 458  
290 +* 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]].
291 +* 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]].
292 +* Add your data, models or software to a// Live paper//: (% style="color:#e74c3c" %)[description] {{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-62mbgl"/}}
293 +* Integrate 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 integrate your data to atlases, check out the [[Atlas services>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]] on ebrains.eu.
294 +
459 459  ----
460 460  
461 461  === **The benefits of sharing data ** ===
462 462  
299 +(% style="color:#000000" %)Sharing your data, models or code (research products) via EBRAINS makes it discoverable amongst other research products available in the (%%)[[(% style="color:#000000" %)EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]](%%). This is made possible by the highly flexible metadata framework describing neuroscience data in detail.
300 +
301 +(% style="color:#000000" %)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.
302 +
303 +
463 463  By sharing your data via EBRAINS, you gain access to the following benefits:
464 464  
465 465  [[image:image-20230324170841-3.png]]
... ... @@ -466,43 +466,67 @@
466 466  
467 467  
468 468  
469 -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.
310 +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.
470 470  
312 +
471 471  ----
472 472  
473 -=== **Frequently asked questions ** ===
315 +=== **At a glance: "Sharing experimental data on EBRAINS" ** ===
474 474  
317 +
318 +|(% style="width:439px" %)(((
319 +[[[[image:image-20230324171114-2.png||height="354" width="250"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
320 +)))|(% style="width:461px" %)(((
321 +[[[[image:image-20230324171109-1.png||height="352" width="250"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
322 +)))|(% style="width:416px" %)[[[[image:image-20230330120354-1.png||height="352" width="250"]]>>https://drive.ebrains.eu/f/707147a883b94fae8e69/]]
323 +|(% style="width:439px" %)//Collection of useful information for researchers looking to share experimental data on EBRAINS.//|(% style="width:461px" %)//The EBRAINS data descriptor: a general overview //|(% style="width:416px" %)//Introduction to data organization: A [[collection of guidelines>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] on how to organise files and folders to ensure consistency and reproducibility in the future. //
324 +
325 +----
326 +
327 +=== **Common concerns - and answers ** ===
328 +
475 475  (((
476 -==== ====
330 +==== ====
477 477  
478 478  (((
479 ->Is the curation process time consuming and difficult?
333 +>The curation process is time consuming and difficult
480 480  )))
481 481  )))
482 482  
483 -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.
337 +(% class="wikigeneratedid" id="HHowcanIshareA0models3F" %)
338 +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.
484 484  
485 ->Is sharing my data also beneficial for me or only for others?
340 +>Sharing my data is not beneficial for me - only for others
486 486  
342 +
487 487  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.
488 488  
489 ->Can my data be too insignificant to share?
345 +>My data is too insignificant to share
490 490  
491 -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.
492 492  
493 ->Can my data be easily misused if I share it?
348 +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.
494 494  
495 -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.
350 +>My data can easily be misused if I share it with the world
496 496  
497 ->Can I share my data before my paper is published?
498 498  
499 -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.
353 +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.
500 500  
501 ->Can I lose my competitive edge if I share my data before I publish the associated paper?
355 +>I don't think I'm allowed to share my data
502 502  
503 -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.
504 504  
358 +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.
505 505  
360 +>I can't share my data before my paper is published
361 +
362 +
363 +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.
364 +
365 +>If I share my data before I publish the associated paper, I will lose my competitive edge
366 +
367 +
368 +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.
369 +
370 +
506 506  ----
507 507  
508 508  == Contact ==
... ... @@ -510,6 +510,8 @@
510 510  [[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
511 511  
512 512  
513 -== References ==
514 -
515 515  {{putFootnotes/}}
379 +~)~)~)~)~)~)
380 +~)~)~)
381 +~)~)~)~)~)~)~)~)~)
382 +~)~)~)~)~)~)
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