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17 17  {{/html}}
18 18  
19 19  
20 -== Publishing neuroscience data, models and software via EBRAINS ==
20 +(% class="wikigeneratedid" id="HPublishingneurosciencedata2CmodelsandsoftwareviaEBRAINS" %)
21 +(% style="font-size:2em" %)**Publishing neuroscience data, models and software via EBRAINS**
21 21  
22 -
23 23  (% class="wikigeneratedid" %)
24 24  The aim of this collab is to provide you with detailed information about publishing data, simulations, computational models, and software via EBRAINS. If you want a quick overview of the sharing process, see [[https:~~/~~/ebrains.eu/service/share-data>>https://ebrains.eu/service/share-data]].
25 25  
... ... @@ -83,8 +83,6 @@
83 83  //to share data on EBRAINS: //
84 84  // //
85 85  [[[[image:image-20230324171114-2.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
86 -
87 -
88 88  )))
89 89  
90 90  
... ... @@ -106,10 +106,20 @@
106 106  
107 107  ==== **2. Upload data ** ====
108 108  
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: //
109 109  
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 +)))
117 +
110 110  (% 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. **
111 111  
112 -We look for organized data, not organized according to our standard. This is to support the broadest degree of sharing possible. We do however require that the data is organized in a consistent and precise manner. Please see our// //[[collection of guidelines on data organization>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] for further guidance.
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.
113 113  
114 114  (% 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).**
115 115  
... ... @@ -157,12 +157,11 @@
157 157  (% class="box floatinginfobox" id="data-descriptor-infographic" %)
158 158  (((
159 159  (% style="text-align:center" %)
160 -//Download our infographic: //
161 -//The EBRAINS Data//
162 -//Descriptor at a glance//
168 +//Download our infographic
169 +about the EBRAINS Data//
170 +//Descriptor//
163 163  // //
164 164  [[[[image:image-20230324171109-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
165 -
166 166  )))
167 167  
168 168  ==== **5. Preview and publish** ====
... ... @@ -173,46 +173,13 @@
173 173  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.
174 174  
175 175  
176 -----
177 177  
178 -==== ====
179 179  
180 -==== **Sharing human subject data** ====
181 -
182 -(% class="box floatinginfobox" %)
183 -(((
184 -**Human subject data that can be shared on EBRAINS:**
185 -// //
186 -// - Post-mortem data//
187 -// - Aggregated data//
188 -// - Strongly pseudonymized or de-identified subject data//
189 -// with a legal basis for sharing (e.g. Informed Consent)//
190 -// //
191 -
192 -(% class="small" %)
193 -//If you have human data that does not qualify as any of the above,//
194 -//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
195 -)))
196 -
197 -
198 -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]].
199 -
200 -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).
201 -
202 -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.
203 -
204 -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.
205 -
206 -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.
207 -
208 -
209 209  ----
210 210  
211 211  === Step by Step - Models ===
212 212  
213 213  
214 -
215 -
216 216  ==== 1. Start early ====
217 217  
218 218  It is not necessary to wait until you are ready to publish to register your model with EBRAINS.
... ... @@ -232,14 +232,70 @@
232 232  Collabs are also useful for storing simulation results, adding documentation for your model,
233 233  and/or providing tutorials in Jupyter notebooks.
234 234  
209 +==== 3. Upload code ====
235 235  
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.
236 236  
214 +Alternatively, you can upload code to the Collab Drive or Bucket storage.
237 237  
238 -~1. Request curation using the [[Curation request form>>https://nettskjema.no/a/277393#/]]. You will be contacted by a curator with more information.
216 +==== 4.Submit metadata ====
239 239  
218 +We recommend submitting metadata using the Model Catalog app, installed in your collab.
240 240  
241 -//Additional information will be added soon.//
220 +To install it:
242 242  
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"
225 +
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".
229 +
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".
232 +
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.
235 +
236 +==== 5. Provide a reference dataset ====
237 +
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.
241 +
242 +These reference data will be linked to the model, and will be helpful to anyone trying to
243 +reuse your model.
244 +
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.
247 +
248 +==== 6. Request publication, preview and publish ====
249 +
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.
253 +
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.
255 +
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.
257 +
258 +
259 +Curators will then perform a number of checks:
260 +
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.
264 +
265 +The curators will also take a snapshot of your model code.
266 +
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.
269 +
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.
272 +
243 243  ----
244 244  
245 245  === Step by Step - Software ===
... ... @@ -266,6 +266,36 @@
266 266  
267 267  ----
268 268  
299 +=== Sharing human subject data ===
300 +
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 +// //
310 +
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 +)))
315 +
316 +
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]].
318 +
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).
320 +
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.
322 +
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.
324 +
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.
326 +
327 +----
328 +
269 269  == **The openMINDS metadata framework** ==
270 270  
271 271  (% class="box floatinginfobox" %)
... ... @@ -283,14 +283,87 @@
283 283  
284 284  ----
285 285  
286 -== **The curation team: meet the curators** ==
346 +== **Add practical value to your shared data, model or software** ==
287 287  
348 +
349 +=== **Showcase shared data, models or software in other services** ===
350 +
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 +
363 +----
364 +
365 +==== **Add a tutorial or learning resource ** ====
366 +
367 +(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
368 +(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
369 +
370 +
371 +==== **Create a workflow** ====
372 +
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 +
380 +By sharing your data via EBRAINS, you gain access to the following benefits:
381 +
382 +[[image:image-20230324170841-3.png]]
383 +
384 +
385 +
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.
387 +
388 +----
389 +
390 +== **Frequently asked questions ** ==
391 +
392 +>Is the curation process time consuming and difficult?
393 +
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.
395 +
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 +
417 +----
418 +
419 +== (% style="color:#1a202c; font-family:inherit; font-size:29px" %)**The curation team: meet the curators**(%%) ==
420 +
288 288  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.
289 289  
290 290  The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris. 
291 291  
292 292  
293 -**Located in Norway:**
426 +**Located in Norway**
294 294  
295 295  |(% style="width:303px" %)(((
296 296  [[image:My project2.jpg||height="209" width="167"]]
... ... @@ -340,7 +340,7 @@
340 340  )))| | |
341 341  
342 342  
343 -\\**Located in Germany:**
476 +\\**Located in Germany**
344 344  
345 345  |(% style="width:303px" %)(((
346 346  [[image:My project (2).jpg||height="209" width="167"]]
... ... @@ -351,111 +351,36 @@
351 351  Phd Student
352 352  Sensors and Cognitive Psychology (M. Sc.)(%%)
353 353  (% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
354 -)))|(% style="width:328px" %)(((
355 -
487 +)))|(% style="width:303px" %)(((
488 +[[image:Lyuba.jpg||height="209" width="167"]]
356 356  
357 -
358 -
359 -
360 -
361 -
362 -
363 -
364 364  **Lyuba Zehl**
365 365  
366 366  (% class="small" %)Knowledge Systems Engineer
367 367  Dr. rer. nat. (Systems Neuroscience)(%%)
368 368  (% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
369 -)))|(% style="width:321px" %) |(% style="width:324px" %)
495 +)))|(% style="width:303px" %) |(% style="width:303px" %)
370 370  
371 371  ----
372 372  
373 -== **Add practical value to your shared data, model or software** ==
374 374  
375 375  
376 376  ----
377 377  
378 -=== **Showcase shared data, models or software in other services** ===
503 +== Contact ==
379 379  
380 -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.
505 +[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
381 381  
382 -
383 -|(% colspan="2" %)**Viewer for 2D images**
384 -|[[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]].
385 -|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
386 -|[[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]].
387 -|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
388 -|[[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]].
389 -|(% colspan="2" %)**Use your research product in an interactive publication**
390 -|[[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]].
391 -
392 392  ----
393 393  
394 -==== **Add a tutorial or learning resource ** ====
509 +== Affiliated laboratories ==
395 395  
396 -(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
397 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
511 +//Institute of Basic Medical Sciences,** **University of Oslo, Norway (PI: Jan G. Bjaalie, Trygve B. Leergaard)//
398 398  
513 +//Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany (PI: Timo Dicksheid)//
399 399  
400 -==== **Create a workflow** ====
401 -
402 -(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
403 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
404 -
405 405  ----
406 406  
407 -=== **The benefits of sharing data ** ===
408 -
409 -By sharing your data via EBRAINS, you gain access to the following benefits:
410 -
411 -[[image:image-20230324170841-3.png]]
412 -
413 -
414 -
415 -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.
416 -
417 -----
418 -
419 -=== **Frequently asked questions ** ===
420 -
421 -(((
422 -==== ====
423 -
424 -(((
425 ->Is the curation process time consuming and difficult?
426 -)))
427 -)))
428 -
429 -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.
430 -
431 ->Is sharing my data also beneficial for me or only for others?
432 -
433 -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.
434 -
435 ->Can my data be too insignificant to share?
436 -
437 -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.
438 -
439 ->Can my data be easily misused if I share it?
440 -
441 -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.
442 -
443 ->Can I share my data before my paper is published?
444 -
445 -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.
446 -
447 ->Can I lose my competitive edge if I share my data before I publish the associated paper?
448 -
449 -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.
450 -
451 -
452 -----
453 -
454 -== Contact ==
455 -
456 -[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
457 -
458 -
459 459  == References ==
460 460  
461 461  {{putFootnotes/}}
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