Changes for page Data Curation

Last modified by abonard on 2025/06/03 10:55
From version 212.1
edited by ingrreit
on 2023/08/07 13:21
Change comment: There is no comment for this version
To version 217.2
edited by eapapp
on 2024/01/17 17:03
Change comment: Updated link to minimally required metadata file

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1 -XWiki.ingrreit
1 +XWiki.eapapp
Content
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146 146  * [[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.
147 147  * [[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.
148 148  
149 -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.
149 +Datasets published through the EBRAINS Knowledge Graph have to be registered using **openMINDS compliant metadata** delivered as JSON-LD files. See this summary table for an overview of [[the minimally required openMINDS properties for publishing>>https://drive.ebrains.eu/f/3e226ad165054b35b456/]] on EBRAINS.
150 150  
151 151  
152 152  ==== **4. Write a Data Descriptor** ====
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367 367  ==== **Add a tutorial or learning resource ** ====
368 368  
369 369  (% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
370 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
370 +(% style="--darkreader-inline-color:#e8e6e3; color:#000000" %)//More information will follow//
371 371  
372 372  
373 373  ==== **Create a workflow** ====
374 374  
375 375  (% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
376 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
376 +(% style="--darkreader-inline-color:#e8e6e3; color:#000000" %)//More information will follow//
377 377  
378 378  ----
379 379  
380 +== **EBRAINS commits to the FAIR principles** ==
381 +
382 +In 2016, the 'FAIR Guiding Principles for the management and guardianship of scientific data'{{footnote}}Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 {{/footnote}} were introduced to the scientific community. The objective of the authors was to provide a set of general recommendations aimed at enhancing the Findability, Accessibility, Interoperability, and Reusability of digital resources (data). They emphasize the importance of making data more open, discoverable, and usable, ultimately facilitating collaboration and knowledge sharing within the scientific community. Today, the FAIR principles are widely recognized and adopted as best practices in data management and stewardship across scientific fields.
383 +
384 +In EBRAINS, all datasets, models and software shared go through a streamlined curation process that ensures relevant annotation of the data using the [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS]] metadata framework and integration into the [[EBRAINS Knowledge Graph>>url:https://docs.kg.ebrains.eu/]] metadata management system. The research products are Findable and Accessible through the [[Knowledge Graph Search>>url:https://search.kg.ebrains.eu/?category=Dataset]] as dataset/model/software cards that display further information regarding the dataset's Interoperability and Reusability.
385 +
386 +To further specify how EBRAINS aligns with the FAIR principles, we have assessed the FAIRness of datasets shared in the EBRAINS Knowledge Graph following the [[FAIRsFAIR Data Object Assessment Metrics>>https://zenodo.org/record/6461229||style="background-color: rgb(255, 255, 255); --darkreader-inline-bgcolor: #181a1b;"]]: see our **[[FAIR assessment of EBRAINS datasets>>doc:.FAIR assessment of EBRAINS datasets.WebHome]]. **
387 +
388 +
389 +----
390 +
380 380  == **General benefits of sharing data ** ==
381 381  
382 382  By sharing your data via EBRAINS, you gain access to the following benefits:
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385 385  
386 386  
387 387  
388 -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.
399 +We support you to better follow the [[FAIR^^ ^^guiding principles>>https://www.nature.com/articles/sdata201618]] for data management and stewardship. Publishing data, models or code via EBRAINS will provide you with a citeable [[DataCite DOI>>https://www.doi.org/the-identifier/resources/handbook/]] for your research product.
389 389  
390 390  ----
391 391  
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418 418  
419 419  ----
420 420  
421 -== (% style="color:#1a202c; font-family:inherit; font-size:29px" %)**The curation team: meet the curators**(%%) ==
432 +== (% style="--darkreader-inline-color:#d2cec8; color:#1a202c; font-family:inherit; font-size:29px" %)**The curation team: meet the curators**(%%) ==
422 422  
423 423  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.
424 424  
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434 434  
435 435  (% class="small" %)Curation Scientist
436 436  Neuroscience (PhD)(%%)
437 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
448 +(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Behavioral neuroscience and microscopy**
438 438  )))|(% style="width:303px" %)(((
439 439  [[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
440 440  
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443 443  (% class="small" %)Curation Scientist,
444 444  Phd Student
445 445  Neuroscience (M. Sc.)(%%)
446 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
457 +(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and data integration**
447 447  )))|(% style="width:303px" %)(((
448 448  [[image:My project (1).jpg||height="209" width="167"]]
449 449  
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452 452  (% class="small" %)Curation Scientist,
453 453  Phd Student
454 454  Neuroscience (M. Sc.)(%%)
455 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
466 +(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and structural connectivity**
456 456  )))|(% style="width:303px" %)(((
457 457  [[image:My project1.jpg||height="209" width="167"]]
458 458  
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460 460  
461 461  (% class="small" %)Curation Scientist
462 462  Neurocognitive Psychology (M. Sc.)(%%)
463 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
474 +(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroimaging **
464 464  )))
465 465  
466 466  |(% style="width:303px" %)(((
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471 471  (% class="small" %)Curation Scientist,
472 472  Phd Student
473 473  Neuroscience (M. Sc.)(%%)
474 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
485 +(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and brain atlases**
475 475  )))| | |
476 476  
477 477  
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485 485  (% class="small" %)Curation Scientist,
486 486  Phd Student
487 487  Sensors and Cognitive Psychology (M. Sc.)(%%)
488 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
499 +(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Human-Computer Interaction**
489 489  )))|(% style="width:303px" %)(((
490 490  [[image:Lyuba.jpg||height="209" width="167"]]
491 491  
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493 493  
494 494  (% class="small" %)Knowledge Systems Engineer
495 495  Dr. rer. nat. (Systems Neuroscience)(%%)
496 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
507 +(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
497 497  )))|(% style="width:303px" %) |(% style="width:303px" %)
498 498  
499 499  ----
Public

Data Curation