Changes for page data-curation-copy

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

From version 199.1
edited by ingrreit
on 2023/06/21 12:10
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To version 195.1
edited by adavison
on 2023/06/14 15:35
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211 211  === Step by Step - Models ===
212 212  
213 213  
214 +
215 +
214 214  ==== 1. Start early ====
215 215  
216 216  It is not necessary to wait until you are ready to publish to register your model with EBRAINS.
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252 252  To add your model, click "+", fill in the form, then click "Add model".
253 253  
254 254  As development of your model proceeds, you can easily register new versions of the code,
255 -and new parameterizations, by clicking "Add new version".
257 +and new parameterizations by clicking "Add new version".
256 256  
257 257  If you prefer not to use the app, you can instead fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]].,
258 258  and you will be contacted by e-mail with further instructions.
259 259  
260 -==== 5. Provide a reference dataset ====
262 +====
263 +5. Provide a reference dataset ====
261 261  
262 262  Once you're ready to publish your model entry in the EBRAINS Knowledge Graph,
263 263  we encourage you to provide a dataset containing the simulation results produced by your model,
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275 275  only members of the collab will be able to view the model entry, in the Model Catalog app
276 276  or using the Model Validation Python client.
277 277  
278 -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.
281 +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.
279 279  
280 -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.
283 +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.
281 281  
282 282  
283 283  Curators will then perform a number of checks:
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284 284  
285 285  1. Does the model description provide sufficient context to understand the purpose and use of the model?
286 286  1. Does the code repository contain a licence file, explaining the conditions for reusing the code?
287 -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.
290 +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.
288 288  
289 289  The curators will also take a snapshot of your model code.
290 290  
291 -* 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"]].
294 +* For models in public Git repositories, we archive a copy of the repository in Software Heritage.
292 292  * 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.
293 293  
294 294  Once this is done, you will be invited to review a preview of how the model entry will appear in the KG Search,
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405 405  Phd Student
406 406  Sensors and Cognitive Psychology (M. Sc.)(%%)
407 407  (% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
408 -)))|(% style="width:303px" %)(((
409 -[[image:Lyuba.jpg||height="209" width="167"]]
411 +)))|(% style="width:328px" %)(((
412 +
410 410  
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417 +
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420 +
411 411  **Lyuba Zehl**
412 412  
413 413  (% class="small" %)Knowledge Systems Engineer
414 414  Dr. rer. nat. (Systems Neuroscience)(%%)
415 415  (% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
416 -)))|(% style="width:303px" %) |(% style="width:303px" %)
426 +)))|(% style="width:321px" %) |(% style="width:324px" %)
417 417  
418 418  ----
419 419  
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