Changes for page data-curation-copy

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edited by ingrreit
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To version 210.1
edited by ingrreit
on 2023/07/04 16:18
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1 -== Publishing neuroscience data, models and software via EBRAINS ==
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2 2  
3 3  
20 +(% class="wikigeneratedid" id="HPublishingneurosciencedata2CmodelsandsoftwareviaEBRAINS" %)
21 +(% style="font-size:2em" %)**Publishing neuroscience data, models and software via EBRAINS**
22 +
4 4  (% class="wikigeneratedid" %)
5 5  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]].
6 6  
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8 8  {{toc depth="3" start="2"/}}
9 9  {{/box}}
10 10  
11 -
12 12  == **Information to get started** ==
13 13  
14 -(% style="text-align: center;" %)
15 -**Get started! **
16 -
17 -(% style="text-align: center;" %)
18 18  **[[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. **
19 19  
20 -(% style="text-align: center;" %)
21 21  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.
22 22  
23 23  
24 -(% style="text-align: center;" %)
25 -Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
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 +)))
26 26  
27 27  
28 28  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. 
... ... @@ -35,7 +35,7 @@
35 35  
36 36  (% class="box successmessage" %)
37 37  (((
38 -**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
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]]
39 39  )))
40 40  
41 41  ----
... ... @@ -55,245 +55,313 @@
55 55  
56 56  ----
57 57  
58 -=== Step by step - Experimental data ===
73 +=== Step by step - Data ===
59 59  
60 60  
61 61  [[image:image-20230326054341-1.png]]
62 62  
63 -==== ====
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 +)))
64 64  
88 +
65 65  ==== **1. Provide some general information about your dataset** ====
66 66  
67 -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.
68 68  
69 -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.
70 70  
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#/]]. **
71 71  
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 +
72 72  ==== **2. Upload data ** ====
73 73  
74 -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. 
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: //
75 75  
76 -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.
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 +)))
77 77  
78 -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.
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. **
79 79  
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.
80 80  
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 +
81 81  If a data collection is already uploaded elsewhere, we may link to the already existing repository.
82 82  
83 83  
84 84  ==== **3. Submit metadata** ====
85 85  
86 -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.
87 87  
88 -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.
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) **
89 89  
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
90 90  
91 -==== **4. Write a Data Descriptor ** ====
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:
92 92  
93 -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. 
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.
94 94  
95 -[[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]]).
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.
96 96  
97 97  
98 -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.
150 +==== **4. Write a Data Descriptor** ====
99 99  
100 100  
101 -==== **5. Preview and publish ** ====
102 102  
103 -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.
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]]**.**
104 104  
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. 
105 105  
106 -----
158 +See our infographic about the data descriptor for inspiration or guidance.
107 107  
108 -==== **Sharing human data ** ====
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]]".
109 109  
110 -(% class="box floatinginfobox" %)
111 -(((
112 -For **Human subject data**, the data must be //either//
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.
113 113  
114 -- Post-mortem data
115 -- Aggregated data
116 -- Pseudonymized subject data with a legal basis for sharing (e.g. Informed Consent)
117 117  
118 -(% 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. //
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/]]
119 119  )))
120 120  
121 -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]].
175 +==== **5. Preview and publish** ====
122 122  
123 -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.
124 124  
125 -**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.
126 -\\**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.
127 -\\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.
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. **
128 128  
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.
129 129  
182 +
183 +
184 +
130 130  ----
131 131  
132 132  === Step by Step - Models ===
133 133  
134 -(% style="color:#e74c3c" %){{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-1rb0hn"/}}
135 135  
136 -[place-holder-process-diagram]
190 +==== 1. Start early ====
137 137  
138 -==== **1. model step 1 ** ====
192 +It is not necessary to wait until you are ready to publish to register your model with EBRAINS.
139 139  
140 -Text
194 +By registering a model early in your project, you can take advantage of EBRAINS tools
195 +to keep track of simulations and to share them with your collaborators.
141 141  
197 +==== 2. Create/choose a Collab workspace ====
142 142  
143 -==== **2. model step 2** ====
199 +We use EBRAINS Collaboratory "collab" workspaces to help manage the model curation process.
144 144  
145 -Text
201 +In particular, we use collab membership (the "Team") to control who can view or edit your model metadata prior to publication.
146 146  
203 +It is up to you whether you create a new collab for each model, or reuse an existing collab
204 +(it is no problem to have multiple models associated with a single collab).
147 147  
148 -----
206 +Collabs are also useful for storing simulation results, adding documentation for your model,
207 +and/or providing tutorials in Jupyter notebooks.
149 149  
150 -=== Step by Step - Code ===
209 +==== 3. Upload code ====
151 151  
152 -[[[[image:swc-flow-no-header.png||alt="swc-flow.png"]]>>https://www.ebrains.eu/tools/ebrains-curation-request-form||rel="noopener noreferrer" target="_blank"]]
211 +We recommend storing model code and/or configuration files in an online Git repository, for example on GitHub.
212 +This repository should be public when you publish the model, but a private repository can be used for model development.
153 153  
154 -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]]
155 -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.
156 -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.
157 -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.
158 -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.
214 +Alternatively, you can upload code to the Collab Drive or Bucket storage.
159 159  
160 -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/]]
161 -For more information, visit our [[guide>>url:https://wiki.ebrains.eu/bin/view/Collabs/swc-guide]].
216 +==== 4.Submit metadata ====
162 162  
163 -----
218 +We recommend submitting metadata using the Model Catalog app, installed in your collab.
164 164  
165 -=== Webservices and metadata models ===
220 +To install it:
166 166  
167 -(% class="wikigeneratedid" id="HContact...." %)
168 -(% style="color:#e74c3c; font-size:16px" %){{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-np253c"/}}(% style="color:#4a5568; font-size:16px" %)
222 +1. click the "+ Create" button
223 +1. in the "Create Page" form, add a title, such as "Model Catalog", and select "Community App", then click "Create"
224 +1. scroll down until you find the "Model Catalog" app, click "Select", then "Save & View"
169 169  
170 -----
226 +You will then see a table of all the models and validation tests associated with this collab.
227 +If this is your first time using the app, the table will probably be empty.
228 +To add your model, click "+", fill in the form, then click "Add model".
171 171  
172 -== **The curation team: meet the curators** ==
230 +As development of your model proceeds, you can easily register new versions of the code,
231 +and new parameterizations, by clicking "Add new version".
173 173  
174 -**Located in Norway:**
233 +If you prefer not to use the app, you can instead fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]].,
234 +and you will be contacted by e-mail with further instructions.
175 175  
176 -|(% style="width:303px" %)(((
177 -[[image:My project2.jpg||height="209" width="167"]]
236 +==== 5. Provide a reference dataset ====
178 178  
179 -**Archana Golla**
238 +Once you're ready to publish your model entry in the EBRAINS Knowledge Graph,
239 +we encourage you to provide a dataset containing the simulation results produced by your model,
240 +following the process under "Step by step - Data" above.
180 180  
181 -(% class="small" %)Curation Scientist
182 -Neuroscience (PhD)(%%)
183 -(% class="small" style="color:#4a5568" %)**Behavioral neuroscience and microscopy**
184 -)))|(% style="width:303px" %)(((
185 -[[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
242 +These reference data will be linked to the model, and will be helpful to anyone trying to
243 +reuse your model.
186 186  
187 -**Camilla H. Blixhavn**
245 +We will soon introduce a "Reproducible" badge for all models that include a reference dataset,
246 +and whose simulation results can be reproduced by an EBRAINS curator.
188 188  
189 -(% class="small" %)Curation Scientist,
190 -Phd Student
191 -Neuroscience (M. Sc.)(%%)
192 -(% class="small" style="color:#4a5568" %)**Neuroanatomy and data integration**
193 -)))|(% style="width:303px" %)(((
194 -[[image:My project (1).jpg||height="209" width="167"]]
248 +==== 6. Request publication, preview and publish ====
195 195  
196 -**Ingrid Reiten**
250 +Until you request your model entry to be published in the EBRAINS Knowledge Graph,
251 +only members of the collab will be able to view the model entry, in the Model Catalog app
252 +or using the Model Validation Python client.
197 197  
198 -(% class="small" %)Curation Scientist,
199 -Phd Student
200 -Neuroscience (M. Sc.)(%%)
201 -(% class="small" style="color:#4a5568" %)**Neuroanatomy and structural connectivity**
202 -)))|(% style="width:303px" %)(((
203 -[[image:My project1.jpg||height="209" width="167"]]
254 +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.
204 204  
205 -**Sophia Pieschnik**
256 +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.
206 206  
207 -(% class="small" %)Curation Scientist
208 -Neurocognitive Psychology (M. Sc.)(%%)
209 -(% class="small" style="color:#4a5568" %)**Neuroimaging **
210 -)))
211 211  
212 -|(% style="width:303px" %)(((
213 -[[image:My project.jpg||height="209" width="167"]]
259 +Curators will then perform a number of checks:
214 214  
215 -**Heidi Kleven**
261 +1. Does the model description provide sufficient context to understand the purpose and use of the model?
262 +1. Does the code repository contain a licence file, explaining the conditions for reusing the code?
263 +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.
216 216  
217 -(% class="small" %)Curation Scientist,
218 -Phd Student
219 -Neuroscience (M. Sc.)(%%)
220 -(% class="small" style="color:#4a5568" %)**Neuroanatomy and brain atlases**
221 -)))| | |
265 +The curators will also take a snapshot of your model code.
222 222  
223 -
224 -\\**Located in Germany:**
267 +* 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"]].
268 +* 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.
225 225  
226 -|(% style="width:303px" %)(((
227 -[[image:My project (2).jpg||height="209" width="167"]]
270 +Once this is done, you will be invited to review a preview of how the model entry will appear in the KG Search,
271 +and will have the opportunity to request modifications prior to approval and publication.
228 228  
229 -**Jan Gündling**
273 +----
230 230  
231 -(% class="small" %)Curation Scientist,
232 -Phd Student
233 -Sensors and Cognitive Psychology (M. Sc.)(%%)
234 -(% class="small" style="color:#4a5568" %)**Human-Computer Interaction**
235 -)))|(% style="width:303px" %)(((
236 -
275 +=== Step by Step - Software ===
237 237  
238 238  
278 +(% class="box floatinginfobox" id="software-curation-infographic" %)
279 +(((
280 +(% style="text-align:center" %)
281 +//Software curation at a glance//
282 +// //
283 +[[[[image:Thumb2.png||alt="EBRAINS-Share-Software.pdf" height="287" width="197"]]>>attach:EBRAINS-Share-Software-4.pdf]]
284 +)))
239 239  
286 +(% 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"]]
240 240  
288 +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.
289 +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.
290 +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.
241 241  
292 +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]].
242 242  
294 +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.
243 243  
244 244  
297 +----
245 245  
299 +=== Sharing human subject data ===
246 246  
301 +(% class="box floatinginfobox" %)
302 +(((
303 +**Human subject data that can be shared on EBRAINS:**
304 +// //
305 +// - Post-mortem data//
306 +// - Aggregated data//
307 +// - Strongly pseudonymized or de-identified subject data//
308 +// with a legal basis for sharing (e.g. Informed Consent)//
309 +// //
247 247  
248 -**Lyuba Zehl**
311 +(% class="small" %)
312 +//If you have human data that does not qualify as any of the above,//
313 +//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
314 +)))
249 249  
250 -(% class="small" %)Knowledge Systems Engineer
251 -Dr. rer. nat. (Systems Neuroscience)(%%)
252 -(% class="small" style="color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
253 -)))|(% style="width:303px" %) |
254 254  
255 -----
317 +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]].
256 256  
257 -== **Information and resources for researchers looking to share data** ==
319 +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).
258 258  
259 -Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
321 +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.
260 260  
261 -----
323 +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.
262 262  
263 -=== **Improve your research product ** ===
325 +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.
264 264  
265 -(% class="wikigeneratedid" %)
266 -**{{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-fkdv6h"/}}**
327 +----
267 267  
268 -==== **Add a tutorial or learning resource to your research product ** ====
329 +== **The openMINDS metadata framework** ==
269 269  
270 -==== (% style="color:#e74c3c" %)- Learning resource [information](%%) ====
331 +(% class="box floatinginfobox" %)
332 +(((
333 +[[[[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]]
334 +)))
271 271  
336 +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]].
272 272  
273 -==== **Create a workflow for .... ? ** ====
338 +For feedback, requests, or contributions, please get in touch with the openMINDS development team via
274 274  
275 -==== (% style="color:#e74c3c" %)- Workflows [information](%%) ====
340 +* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
341 +* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
342 +* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
276 276  
277 277  ----
278 278  
279 -=== **Integrate your data, models or software with other services** ===
346 +== **Add practical value to your shared data, model or software** ==
280 280  
281 -EBRAINS supports further integration for a variety of data, and is continuously looking to increase the number of interoperable services.
282 282  
283 -* 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]].
284 -* 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]].
285 -* 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"/}}
286 -* 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.
349 +=== **Showcase shared data, models or software in other services** ===
287 287  
351 +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.
352 +
353 +
354 +|(% colspan="2" %)**Viewer for 2D images**
355 +|[[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]].
356 +|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
357 +|[[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]].
358 +|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
359 +|[[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]].
360 +|(% colspan="2" %)**Use your research product in an interactive publication**
361 +|[[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]].
362 +
288 288  ----
289 289  
290 -=== **The benefits of sharing data ** ===
365 +==== **Add a tutorial or learning resource ** ====
291 291  
292 -(% 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.
367 +(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
368 +(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
293 293  
294 -(% 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.
295 295  
371 +==== **Create a workflow** ====
296 296  
373 +(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
374 +(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
375 +
376 +----
377 +
378 +== **General benefits of sharing data ** ==
379 +
297 297  By sharing your data via EBRAINS, you gain access to the following benefits:
298 298  
299 299  [[image:image-20230324170841-3.png]]
... ... @@ -300,67 +300,121 @@
300 300  
301 301  
302 302  
303 -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.
386 +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.
304 304  
305 -
306 306  ----
307 307  
308 -=== **At a glance: "Sharing experimental data on EBRAINS" ** ===
390 +== **Frequently asked questions ** ==
309 309  
392 +>Is the curation process time consuming and difficult?
310 310  
311 -|(% style="width:439px" %)(((
312 -[[[[image:image-20230324171114-2.png||height="354" width="250"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
313 -)))|(% style="width:461px" %)(((
314 -[[[[image:image-20230324171109-1.png||height="352" width="250"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
315 -)))|(% style="width:416px" %)[[[[image:image-20230330120354-1.png||height="352" width="250"]]>>https://drive.ebrains.eu/f/707147a883b94fae8e69/]]
316 -|(% 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. //
394 +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.
317 317  
396 +>Is sharing my data also beneficial for me or only for others?
397 +
398 +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.
399 +
400 +>Can my data be too insignificant to share?
401 +
402 +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.
403 +
404 +>Can my data be easily misused if I share it?
405 +
406 +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.
407 +
408 +>Can I share my data before my paper is published?
409 +
410 +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.
411 +
412 +>Can I lose my competitive edge if I share my data before I publish the associated paper?
413 +
414 +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.
415 +
416 +
318 318  ----
319 319  
320 -=== **Common concerns - and answers ** ===
419 +== (% style="color:#1a202c; font-family:inherit; font-size:29px" %)**The curation team: meet the curators**(%%) ==
321 321  
322 -(((
323 -==== ====
421 +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.
324 324  
325 -(((
326 ->The curation process is time consuming and difficult
327 -)))
328 -)))
423 +The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris. 
424 +
329 329  
330 -(% class="wikigeneratedid" id="HHowcanIshareA0models3F" %)
331 -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.
426 +**Located in Norway**
332 332  
333 ->Sharing my data is not beneficial for me - only for others
428 +|(% style="width:303px" %)(((
429 +[[image:My project2.jpg||height="209" width="167"]]
334 334  
431 +**Archana Golla**
335 335  
336 -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.
433 +(% class="small" %)Curation Scientist
434 +Neuroscience (PhD)(%%)
435 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
436 +)))|(% style="width:303px" %)(((
437 +[[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
337 337  
338 ->My data is too insignificant to share
439 +**Camilla H. Blixhavn**
339 339  
441 +(% class="small" %)Curation Scientist,
442 +Phd Student
443 +Neuroscience (M. Sc.)(%%)
444 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
445 +)))|(% style="width:303px" %)(((
446 +[[image:My project (1).jpg||height="209" width="167"]]
340 340  
341 -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.
448 +**Ingrid Reiten**
342 342  
343 ->My data can easily be misused if I share it with the world
450 +(% class="small" %)Curation Scientist,
451 +Phd Student
452 +Neuroscience (M. Sc.)(%%)
453 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
454 +)))|(% style="width:303px" %)(((
455 +[[image:My project1.jpg||height="209" width="167"]]
344 344  
457 +**Sophia Pieschnik**
345 345  
346 -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.
459 +(% class="small" %)Curation Scientist
460 +Neurocognitive Psychology (M. Sc.)(%%)
461 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
462 +)))
347 347  
348 ->I don't think I'm allowed to share my data
464 +|(% style="width:303px" %)(((
465 +[[image:My project.jpg||height="209" width="167"]]
349 349  
467 +**Heidi Kleven**
350 350  
351 -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.
469 +(% class="small" %)Curation Scientist,
470 +Phd Student
471 +Neuroscience (M. Sc.)(%%)
472 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
473 +)))| | |
352 352  
353 ->I can't share my data before my paper is published
475 +
476 +\\**Located in Germany**
354 354  
478 +|(% style="width:303px" %)(((
479 +[[image:My project (2).jpg||height="209" width="167"]]
355 355  
356 -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.
481 +**Jan Gündling**
357 357  
358 ->If I share my data before I publish the associated paper, I will lose my competitive edge
483 +(% class="small" %)Curation Scientist,
484 +Phd Student
485 +Sensors and Cognitive Psychology (M. Sc.)(%%)
486 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
487 +)))|(% style="width:303px" %)(((
488 +[[image:Lyuba.jpg||height="209" width="167"]]
359 359  
490 +**Lyuba Zehl**
360 360  
361 -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.
492 +(% class="small" %)Knowledge Systems Engineer
493 +Dr. rer. nat. (Systems Neuroscience)(%%)
494 +(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
495 +)))|(% style="width:303px" %) |(% style="width:303px" %)
362 362  
497 +----
363 363  
499 +
500 +
364 364  ----
365 365  
366 366  == Contact ==
... ... @@ -367,9 +367,16 @@
367 367  
368 368  [[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
369 369  
507 +----
370 370  
509 +== Affiliated laboratories ==
510 +
511 +//Institute of Basic Medical Sciences,** **University of Oslo, Norway (PI: Jan G. Bjaalie, Trygve B. Leergaard)//
512 +
513 +//Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany (PI: Timo Dicksheid)//
514 +
515 +----
516 +
517 +== References ==
518 +
371 371  {{putFootnotes/}}
372 -~)~)~)~)~)~)
373 -~)~)~)
374 -~)~)~)~)~)~)~)~)~)
375 -~)~)~)~)~)~)
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