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| 262 | + </head> |
| 263 | + <body> |
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| 265 | +<textarea id="source"> |
| 266 | + |
| 267 | +name: title |
| 268 | +layout: true |
| 269 | +class: center |
| 270 | +--- |
| 271 | +layout: false |
| 272 | +count: false |
| 273 | + |
| 274 | +.middle.center[ |
| 275 | +# Executing BIDS-Apps on large datasets and the *NiPreps* framework |
| 276 | + |
| 277 | +<br /> |
| 278 | +<br /> |
| 279 | + |
| 280 | +### Oscar Esteban |
| 281 | +#### CHUV | Lausanne University Hospital |
| 282 | + |
| 283 | +###### [www.nipreps.org/assets/OHBM2022](https://www.nipreps.org/assets/OHBM2022) |
| 284 | +] |
| 285 | + |
| 286 | +--- |
| 287 | +layout: false |
| 288 | +count: false |
| 289 | + |
| 290 | +.middle.center[ |
| 291 | +# Executing BIDS-Apps on large datasets and the *NiPreps* framework |
| 292 | + |
| 293 | +<br /> |
| 294 | +<br /> |
| 295 | + |
| 296 | +### Oscar Esteban |
| 297 | +#### CHUV | Lausanne University Hospital |
| 298 | + |
| 299 | +###### [www.nipreps.org/assets/OHBM2022](https://www.nipreps.org/assets/OHBM2022) |
| 300 | +] |
| 301 | + |
| 302 | +--- |
| 303 | +name: newsection |
| 304 | +layout: true |
| 305 | +class: section-separator |
| 306 | + |
| 307 | +.perma-sidebar[ |
| 308 | +<p class="rotate"> |
| 309 | +<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0; height: 20px; padding-top: 6px;" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a> |
| 310 | + <span style="padding-left: 10px;">Executing BIDS-Apps on large datasets and the <em>NiPreps</em> framework</span> |
| 311 | +</p> |
| 312 | +] |
| 313 | + |
| 314 | +--- |
| 315 | + |
| 316 | +# Outline |
| 317 | + |
| 318 | +* Managing large datasets - Datalad primer |
| 319 | +* BIDS, and why BIDS? |
| 320 | +* BIDS-Apps |
| 321 | +* The case of fMRIPrep |
| 322 | +* The NeuroImaging PREProcessing toolS (NiPreps) |
| 323 | + |
| 324 | + |
| 325 | +--- |
| 326 | + |
| 327 | +# Datalad primer |
| 328 | + |
| 329 | +* Datalad (amongst many features) allows versioning of data |
| 330 | +* Datalad is based on Git and git-annex |
| 331 | +* It is critical to maintain large datasets with versioning |
| 332 | +* Enables access to lots of open datasets |
| 333 | +* More: www.datalad.org |
| 334 | + |
| 335 | +--- |
| 336 | + |
| 337 | +# BIDS - [bids.neuroimaging.io](https://bids.neuroimaging.io) |
| 338 | + |
| 339 | +Specification: [bids-specification.readthedocs.io](https://bids-specification.readthedocs.io) |
| 340 | + |
| 341 | +--- |
| 342 | + |
| 343 | +# Example dataset: AOMIC-PIOP2 |
| 344 | + |
| 345 | +<div class="asciicast" id="496624"></div> |
| 346 | + |
| 347 | +--- |
| 348 | + |
| 349 | +# Actually getting the data (`datalad get`) |
| 350 | + |
| 351 | +<div class="asciicast" id="496610"></div> |
| 352 | + |
| 353 | +</textarea> |
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| 361 | + highlightSpans: true, |
| 362 | + ratio: '16:9' |
| 363 | + }); |
| 364 | + |
| 365 | + // Now retrieve all IDs of asciinema casts |
| 366 | + const allcasts = new Map(); |
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