633 lines
27 KiB
HTML
633 lines
27 KiB
HTML
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<title>RDM in systems neuroscience: Challenges and best practices</title>
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<meta name="description" content=" RDM solutions in the interdisciplinary neurosciences ">
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<meta name="author" content=" Adina S. Wagner ">
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<section>
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<section>
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<td>
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<h2>RDM in systems neuroscience: </h2>
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<h3>Challenges and best practices</h3>
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</td>
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</table>
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<div style="margin-top:1em;text-align:center">
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<table style="border: none;">
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<tr>
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<td>
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Adina Wagner<br><small><a href="https://mas.to/@adswa" target="_blank">
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<img data-src="../pics/mastodon.svg" style="height:30px;margin:0px" /> mas.to/@adswa</a></small>
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</td>
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<td>
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<br>
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</td>
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</tr>
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<tr>
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<img style="height:70px;margin-right:10px;vertical-align:top" data-src="../pics/fzj_logo.svg" /><br>
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<img style="height:70px;margin-right:10px;vertical-align:top" data-src="../pics/hhu_logo.svg" /><br>
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</td>
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<td style="vertical-align:bottom">
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<small><a href="https://www.fz-juelich.de/en/inm/inm-7" target="_blank">Institute of Neuroscience and Medicine (INM-7)</a>,
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<br>Research Center Jülich</small><br> <small></small> <br>
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<small><a href="https://www.psychologie.hhu.de/" target="_blank">Institute for Experimental Psychology</a>,
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<br>HHU Düsseldorf<br><br></small>
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</td>
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</tr>
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</table>
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</div>
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<small>
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Slides: <a href="https://files.inm7.de/adina/talks/html/fdm_nrw_hhu.html"
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target="_blank">files.inm7.de/adina/talks/html/fdm_nrw_hhu.html</a><br>
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<a href=https://doi.org/10.5281/zenodo.10122803" target="_blank">DOI;
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10.5281/zenodo.10122803</a></small>
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</section>
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</section>
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<!-- INTRODUCTION -->
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<section>
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<section data-transition="none">
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<h3>Perks of being a neuroscientist...</h3>
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<p class="fragment fade-in" data-fragment-index="1">A growing culture of <a href="https://en.wikipedia.org/wiki/List_of_neuroscience_databases" target="_blank">
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open data</a>
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<img src="../pics/opendata.gif"> <imgcredit>https://en.wikipedia.org/wiki/List_of_neuroscience_databases</imgcredit></p>
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</section>
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<!--
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<section data-transition="none">
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<h3>Perks of being a (neuro)scientist...</h3>
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<p>... with many open dataset of several TB of data!
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<img src="../pics/bigneurodata.png">
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<img src="../pics/bigneurodata2.png"> </p>
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</section>
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-->
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<section data-transition="none">
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<h3>Perks of being a neuroscientist...</h3>
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<p> A large and growing amount of open source software
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<table>
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<tr style="vertical-align:middle">
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<td style="vertical-align:middle">
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<img style="height:100px;margin-right:50px" data-src="../pics/jupyter_logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/mindboggle_logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/psychopy_logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/fsl_logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/pydra_logo.png" />
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<img style="height:100px;margin-right:50px" data-src="../pics/neurodebian.png" />
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<br />
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<img style="height:100px;margin-left:50px" data-src="../pics/R_logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/rstudio-logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/afni_logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/mne-logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/sklearn_logo.png" />
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<img style="height:100px;margin-left:50px" data-src="../pics/FSlogo.png" />
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<img style="height:80px;margin-left:50px" data-src="../pics/pysurfer_logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/dipy-logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/nilearn-logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/mrtrix-logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/giraffetools_logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/mricron-logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/pandas_logo.png" />
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</div>
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<div style="margin-top:-20px">
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<img style="height:100px;margin:20px" data-src="../pics/ants_logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/brainiak_logo.svg" />
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<img style="height:100px;margin:20px" data-src="../pics/spm.svg" />
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<img style="height:80px;margin:20px" data-src="../pics/cpac_logo.png" />
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<img style="height:100px;margin:20px" data-src="../pics/fieldtrip_logo.png" />
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</div>
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<div style="margin-top:-40px">
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<br><small>... and many more!</small>
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</div>
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</td>
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</tr>
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</table>
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</p>
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</section>
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<section data-transition="none">
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<h3>Perks of being a neuroscientist...</h3>
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<p>
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Many readily available, often free, sometimes FOSS, services for data storage and collaboration<br>
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<img src="../pics/services_only.png" height="750"> <imgcredit>https://www.incf.org/resources/sbps</imgcredit>
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</p>
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</section>
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<!--
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<section data-transition="none">
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<h3>Perks of being a (neuro)scientist...</h3>
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<p>Coordinated efforts towards common standards
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<img src="../pics/incf_standards.png"> <imgcredit>https://www.incf.org/resources/sbps</imgcredit>
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</p>
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</section>
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-->
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<section data-transition="none">
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<h3>Perks of being a neuroscientist...</h3>
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Work on fascinating questions with fascinating data<br>
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<table>
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<tr>
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<td style="border:0px">
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<img height="300px" src="../pics/brainscan.gif"> <imgcredit><tiny>Dwayne Reed; commons.wikimedia.org<br>/wiki/File:Parasagittal_MRI_of_human_head_in<br>_patient_with_benign_familial_macrocephaly_prior<br>_to_brain_injury_(ANIMATED).gif</tiny></imgcredit>
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</td>
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<td style="border:0px">
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<img height="300px" src="../pics/meg-data2.png"><imgcredit>https://mne.tools</imgcredit>
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</td>
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</tr>
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<tr style="border:0px">
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<td style="border:0px">
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<img height="200px" src="../pics/meg-data.png"><imgcredit>https://mne.tools</imgcredit>
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</td>
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<td style="border:0px">
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<img height="300px" src="../pics/tractography.gif"><imgcredit>http://trackvis.org</imgcredit>
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</td>
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</tr>
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</table>
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</section>
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<section>
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<h3>The good news, the bad news</h3>
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<table>
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<tr style="vertical-align:middle; font-size:35px" ></tr>
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<tr>
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<td style="border:0px" class="fragment fade-in-then-semi-out" data-fragment-index="1">
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Interesting data</td>
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<td style="border:0px" class="fragment fade-in" data-fragment-index="2">
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... that's subject to GDPR, making storage, analysis, and sharing difficult</td>
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</tr>
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<tr>
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<td style="border:0px" class="fragment fade-in-then-semi-out" data-fragment-index="4">
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Data analysis</td>
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<td style="border:0px" class="fragment fade-in" data-fragment-index="5">
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Reproducibility is threatened by intransparent, multi-stepped analyses¹ & unstable results across software versions².
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Dataset sizes exceed computational capabilities (e.g., HCP project: ~100TB, 1.2k people).
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</td>
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</tr>
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<tr>
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<td style="border:0px" class="fragment fade-in-then-semi-out" data-fragment-index="6">
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Data sharing</td>
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<td style="border:0px" class="fragment fade-in" data-fragment-index="7">
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Heterogenous distribution and updating, many scientists lack data management skills</td>
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</tr>
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<tr>
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<td style="border:0px" class="fragment fade-in-then-semi-out" data-fragment-index="8">Collaboration</td>
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<td style="border:0px" class="fragment fade-in" data-fragment-index="9">Few interoperable workflows across institutes, rather: isolated solutions</td>
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</tr>
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<!--
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<tr>
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<td class="fragment fade-in-then-semi-out" data-fragment-index="7">Standards towards consistent file organization, description, and interoperability </td>
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<td class="fragment fade-in" data-fragment-index="8">Standards aren't static and evolve over time, thus tools and data need updates</td>
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</tr>
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<-->
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</table>
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<br>
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<small>
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<div class="fragment fade-in-then-semi-out" data-fragment-index="5" align="left">
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¹ <a href="https://doi.org/10.1038/s41586-020-2314-9" target="_blank">Botvinik-Nezer et al., 2020: Variability in the analysis of a single neuroimaging dataset by many teams </a><br>
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² <a href="https://doi.org/10.1177%2F1094342020926237" target="_blank"> Kiar et al., 2020: Comparing perturbation models for evaluating stability of neuroimaging pipelines </a>
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</div>
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</small>
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</section>
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</section>
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<section>
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<section data-transition="None">
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<img style="height:150px;margin-bottom:30px" data-src="../pics/datalad_logo_wide.svg">
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<br>
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<ul style="font-size:37px">
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<li class="fragment fade-in-then-semi-out" data-fragment-index="1">Domain-agnostic data management tool
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<strong>(command-line </strong> + <strong>graphical user interface</strong>),
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built on top of <a href="https://git-scm.com/" target="_blank">Git</a>
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& <a href="https://git-annex.branchable.com/" target="_blank">Git-annex</a></li>
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<li class="fragment fade-in-then-semi-out" data-fragment-index="2">10+ year open source project (100+ contributors), available for all major OS</li>
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<li class="fragment" data-fragment-index="3">Born from rethinking data:</li>
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<ul>
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<li class="fragment" data-fragment-index="4">Just like code, <b>data is not static</b>.</li>
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<li class="fragment" data-fragment-index="4">Just like code, <b>data is subject to collaboration</b>.
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Stream-lined workflows for sharing and collaborating should be possible, mirroring those in software development. </li>
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<li class="fragment" data-fragment-index="4"><b>Provenance</b> of data is essential for reproducible, trustworthy, and FAIR science</li>
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<li class="fragment" data-fragment-index="4">Flexibility and <b>interoperability with existing tools</b> is the key to sustainability and ease of use</li>
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</ul>
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</ul>
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</section>
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<section data-transition="None">
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<img style="height:150px;margin-bottom:30px" data-src="../pics/datalad_logo_wide.svg"><br>
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<ul style="font-size:37px">
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<li>Domain-agnostic <strong>command-line tool</strong> (+ <strong>graphical user interface</strong>),
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built on top of <a href="https://git-scm.com/" target="_blank">Git</a>
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& <a href="https://git-annex.branchable.com/" target="_blank">Git-annex</a></li>
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<li>10+ year open source project (100+ contributors), available for all major OS</li>
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<li>Major features:</li>
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<dt>Version-controlling arbitrarily large content </dt>
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<dd>Version control data & software alongside to code!</dd>
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<dt>Transport mechanisms for sharing, updating & obtaining data </dt>
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<dd>Consume & collaborate on data (analyses) like software</dd>
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<dt>(Computationally) reproducible data analysis</dt>
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<dd>Track and share provenance of all digital objects</dd>
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<dt>(... and <i>much</i> more) </dt>
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<br>
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</ul>
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</section>
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<section data-markdown data-transition="none"><script type="text/template">
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## Exhaustive tracking of research components
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<!-- .element: width="100%" -->
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Well-structured datasets (using community standards), and portable computational environments — and their evolution — are the precondition for reproducibility
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<table width=100% style="padding:0px">
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<tr><td style="padding:0px">
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<code><pre>
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# turn any directory into a dataset
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# with version control
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% datalad create <directory>
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</pre></code>
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</td><td style="padding:0px">
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<code><pre>
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# save a new state of a dataset with
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# file content of any size
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% datalad save
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</pre></code>
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</td></tr></table>
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Note:
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- link to prev. statements on description standards
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- your community could be really small (your lab), when data are precious resources
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will be spent to understand it, but information must be capture to make this possible
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</script></section>
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<section data-markdown data-transition="none"><script type="text/template">
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## Capture computational provenance
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<!-- .element: width="100%" -->
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Which data was needed at which version, as input into which code, running with what parameterization in which
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computional environment, to generate an outcome?
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<table width=100% style="padding:0px">
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<tr><td style="padding:0px">
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<code><pre>
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# execute any command and capture its output
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# while recording all input versions too
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% datalad run --input ... --output ... <command>
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</pre></code>
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</td></tr></table>
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Note:
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The missing link: even when everything is shared, we still don't know how to start.
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README is minimum, but executable prov-records are much better.
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</script></section>
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<section data-markdown data-transition="none"><script type="text/template">
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## Exhaustive capture enables portability
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<!-- .element: width="100%" -->
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Precise identification of data and computational environments
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combined with provenance records form a comprehensive and portable
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data structure, capturing all aspects of an investigation.
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<table width=100% style="padding:0px">
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<tr><td style="padding:0px">
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<code><pre>
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# transfer data and metadata to other sites and services
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# with fine-grained access control for dataset components
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% datalad push --to <site-or-service>
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</pre></code>
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</td></tr></table>
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Note:
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Does it fly? Can you give it to someone? Or can you take it with you to your new lab?
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</script></section>
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<section data-markdown data-transition="none"><script type="text/template">
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## Reproducibility strengthens trust
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<!-- .element: width="100%" -->
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Outcomes of computational transformations can be validated by authorized 3rd-parties. This enables audits, promotes accountability, and streamlines automated "upgrades" of outputs
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<table width=100% style="padding:0px">
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<tr><td style="padding:0px">
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<code><pre>
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# obtain dataset (initially only identity,
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# availability, and provenance metadata)
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% datalad clone <url>
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</pre></code>
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</td><td style="padding:0px">
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<code><pre>
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# immediately actionable provenance records
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# full abstraction of input data retrieval
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% datalad rerun <commit|tag|range>
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</pre></code>
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</td></tr></table>
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Note:
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Goal is automated reproducibility, enables assessment of robustness and benchmarking algorithmic developments
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</script></section>
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<section data-markdown data-transition="none"><script type="text/template">
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## Ultimate goal: (re-)usability
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<!-- .element: width="100%" -->
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Verifiable, portable, self-contained data structures that track all aspects of an investigation exhaustively can be (re-)used as modular components in larger contexts — propagating their traits
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<table width=100% style="padding:0px">
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<tr><td style="padding:0px">
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<code><pre>
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# declare a dependency on another dataset and
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# re-use it a particular state in a new context
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% datalad clone -d <superdataset> <url> <path-in-dataset>
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</pre></code>
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</td></tr></table>
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Note:
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With these in place, re-usability is a small(er) step
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</script>
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</section>
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<section data-transition="None">
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<h2>Tracking & Sharing - Where is the Privacy?</h2>
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<ul>
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<li class="fragment fade-in" data-fragment-index="1">Datasets have an optional annex for (large or sensitive) data. </li>
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<li class="fragment fade-in" data-fragment-index="2">Rather than file content, identity (hash) and location information is tracked.
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Users have fine-grained control over transport and access; encryption is possible.</li>
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<li class="fragment fade-in" data-fragment-index="3">Datasets can separate data access from meta data access</li>
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</ul>
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<img class="fragment fade-in" data-fragment-index="3" height="400px" src="../pics/artwork/src/hospital.png">
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</section>
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<section data-transition="None">
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<h2>Fine-grained file transport</h2>
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<ul>
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<li class="fragment fade-in">Cloned datasets are lean, because file content is retrieved on demand:</li>
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<pre style="margin-left: 0; max-height:None" class="fragment fade-in">
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<code data-trim class="language-bash"data-line-numbers="1-2|3-4|5-8">$ datalad clone \
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https://github.com/datalad-datasets/human-connectome-project-openaccess.git
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$ cd human-connectome-project-openaccess && du -sh
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5.0M .
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$ datalad get HCP1200/102513/T1w/T1w_acpc_dc.nii.gz
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get(ok): HCP1200/102513/T1w/T1w_acpc_dc.nii.gz (file) [from datalad...]
|
|
$ datalad drop HCP1200/102513/T1w/T1w_acpc_dc.nii.gz
|
|
drop(ok) </code></pre></ul>
|
|
<div class="r-stack">
|
|
<img src="../pics/services_only.png" height="650">
|
|
<img class="fragment" src="../pics/services_connected.png" height="650">
|
|
</div>
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|
|
|
</section>
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|
|
|
|
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</section>
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|
|
|
|
|
<section>
|
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<section>
|
|
<h2>Big data</h2>
|
|
<div class="r-stack">
|
|
<img class="fragment fade-in-then-out" src="../pics/01_once_upon_a_time.svg">
|
|
<img class="fragment fade-in-then-out" src="../pics/02_preprocessing.svg">
|
|
<img class="fragment fade-in-then-out" src="../pics/03-transparency.svg">
|
|
<img class="fragment fade-in-then-out" src="../pics/04-in-the-shits.svg">
|
|
<img class="fragment fade-in-then-out" src="../pics/05-big-shit.svg">
|
|
</div>
|
|
</section>
|
|
|
|
<section data-markdown data-transition="None"><script type="text/template">
|
|
## FAIRly big: Scaling up
|
|
|
|
<!-- .element: height="400" -->
|
|
|
|
**Objective**: Process the UK Biobank (imaging data) <br>
|
|
with 76 TB in 43 million files from 42,715 participants
|
|
<br><br>
|
|
<small><a href="https://www.nature.com/articles/s41597-022-01163-2" target="_blank">
|
|
Wagner, Waite, Wierzba et al. (2021). FAIRly big: A framework for<br>
|
|
computationally reproducible processing of large-scale data.</a>
|
|
</small>
|
|
|
|
</script></section>
|
|
|
|
<section>
|
|
<div class="r-stack">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_01_ds.png">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_03-dsukb.png">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_04_dslinkage.png">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_05_get.png">
|
|
<img height="500px" class="fragment fade-in-then-out" src="../pics/science_07_job.png">
|
|
<img height="500px" class="fragment fade-in-then-out" src="../pics/science_08_provrec.png">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_09_merge.png">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_12_ria.png">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_13_ukbdatasetlinkage.png">
|
|
<img class="fragment fade-in-then-out" src="../pics/science_11_recompute.png">
|
|
|
|
|
|
</div>
|
|
</section>
|
|
|
|
|
|
<section data-markdown><script type="text/template">
|
|
## FAIRly big movie
|
|
|
|
<iframe width="1120" height="630" src="https://www.youtube-nocookie.com/embed/UsW6xN2f2jc?start=17" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
|
|
|
|
- Two computations on clusters of different scale (small cluster, supercomputer). Full video: https://youtube.com/datalad
|
|
- Two full (re-)computations, programmatically comparable, verifiable, reproducible -- on any system with data access
|
|
</script></section>
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
<h2>Where can I find out more?</h2>
|
|
<ul>
|
|
<br>
|
|
<ul style="font-size:30px">
|
|
<dt>Reach out to to the <b>DataLad</b> team via</dt>
|
|
<li>
|
|
<a href="https://matrix.to/#/!NaMjKIhMXhSicFdxAj:matrix.org?via=matrix.waite.eu&via=matrix.org&via=inm7.de" target="_blank">
|
|
Matrix</a> (free, decentralized communication app, no app needed).
|
|
We run a weekly Zoom office hour (Tuesday, 4pm Berlin time) from this room as well.
|
|
</li>
|
|
<li>the development repository on GitHub
|
|
<a href="https://github.com/datalad/datalad" target="_blank">
|
|
(github.com/datalad/datalad)</a>
|
|
</li>
|
|
<br>
|
|
<dt>Reach out to the user community with</dt>
|
|
<li>A question on <a href="https://neurostars.org/" target="_blank">neurostars.org</a>
|
|
with a <code>datalad</code> tag</li>
|
|
<br>
|
|
<dt>Find more user tutorials or workshop recordings</dt>
|
|
<li>On DataLad's YouTube channel <a href="https://www.youtube.com/channel/datalad" target="_blank">
|
|
(www.youtube.com/channel/datalad) </a>
|
|
</li>
|
|
<li>
|
|
In the DataLad Handbook<a href="http://handbook.datalad.org/en/latest/" target="_blank">
|
|
(handbook.datalad.org)</a>
|
|
</li>
|
|
<li>In the DataLad RDM course <a href="https://psychoinformatics-de.github.io/rdm-course/" target="_blank">
|
|
(psychoinformatics-de.github.io/rdm-course)</a> </li>
|
|
<li>In the Official API documentation <a href="http://docs.datalad.org" target="_blank">
|
|
(docs.datalad.org)</a> </li>
|
|
</ul>
|
|
</ul>
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
<section>
|
|
<h2>{Open,Transparent,Reproducible} science</h2>
|
|
|
|
<ul>
|
|
<li class="fragment fade-in-then-semi-out"> Treat data like software: obtain, version, share, and update data</li>
|
|
<li class="fragment fade-in-then-semi-out"> Simplified data management, disk-space aware storage & computing</li>
|
|
<li class="fragment fade-in-then-semi-out"> Transparent and reproducible science: link code, data, software, and execution
|
|
in a human- and machine-readable way</li>
|
|
<li class="fragment fade-in-then-semi-out"> Collaborate: Generic workflows, interoperabality with established tools & services</li>
|
|
<!-- <li class="fragment fade-in-then-semi-out"> Publish and share data, but retain complete control over storage and access</li> -->
|
|
|
|
</ul>
|
|
</section>
|
|
</section>
|
|
|
|
<section>
|
|
|
|
<section style="font-size:45px" data-transition="None" data-background-image="https://cdn.fosstodon.org/media_attachments/files/111/064/426/935/161/479/original/8db65ebe3df0d9d8.jpg"
|
|
data-background-size="2500px" data-background-opacity="0.2">
|
|
<h2><a href="https://distribits.live" target="_blank">distribits.live</a> </h2>
|
|
<ul>
|
|
<li>First conference on technologies for distributed data management</li>
|
|
<li>2 day conference plus single-day Hackathon </li>
|
|
<li>@ Haus der Universität Düsseldorf</li>
|
|
</ul>
|
|
</section>
|
|
<section>
|
|
<h2>Acknowledgements</h2>
|
|
<table>
|
|
<tr style="vertical-align:top">
|
|
<td style="vertical-align:top">
|
|
<dl>
|
|
<dt>Software</dt>
|
|
<dd style="margin-left:5px!important">
|
|
<ul style="margin-left:5px!important">
|
|
<li>Joey Hess (git-annex)</li>
|
|
<li>The DataLad team &
|
|
contributors</li>
|
|
</ul>
|
|
</dd>
|
|
<br> <br>
|
|
<h2>Thanks!</h2>
|
|
<b>Questions?</b>
|
|
</dl>
|
|
</td>
|
|
<td style="vertical-align:top">
|
|
<div style="margin-bottom:-20px;text-align:center"><strong>Funders</strong></div>
|
|
<img style="height:150px;margin-right:50px" data-src="../pics/nsf_2020.png" />
|
|
<img style="height:150px;margin-right:50pxi;margin-left:50px" data-src="../pics/binc.png" />
|
|
<img style="height:150px;margin-left:50px" data-src="../pics/bmbf_2020.png" />
|
|
<img style="height:80px;margin-top:-40px;margin-left:auto;margin-right:auto;width:100%" data-src="../pics/fzj_logo.svg" />
|
|
<div style="margin-top:-20px">
|
|
<img style="height:60px;margin-right:20px" data-src="../pics/erdf.png" />
|
|
<img style="height:60px;margin-right:20px" data-src="../pics/cbbs_logo.png" />
|
|
<img style="height:60px" data-src="../pics/LSA-Logo.png" />
|
|
</div>
|
|
<div style="margin-top:40px;margin-bottom:20px;text-align:center"><strong>Collaborators</strong></div>
|
|
<div style="margin-top:-20px">
|
|
<img style="height:100px;margin:20px" data-src="../pics/hbp_logo.png" />
|
|
<img style="height:100px;margin:20px" data-src="../pics/conp_logo.png" />
|
|
<img style="height:100px;margin:20px" data-src="../pics/vbc_logo.png" />
|
|
</div>
|
|
<div style="margin-top:-40px">
|
|
<img style="height:120px;margin:20px" data-src="../pics/openneuro_logo.png" />
|
|
<img style="height:120px;margin:20px" data-src="../pics/cbrain_logo.png" />
|
|
<img style="height:140px;margin:20px" data-src="../pics/brainlife_logo.png" />
|
|
</div>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</section>
|
|
</section>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
|
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|
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<script src="../reveal.js/dist/reveal.js"></script>
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<script src="../reveal.js/plugin/notes/notes.js"></script>
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<script src="../reveal.js/plugin/markdown/markdown.js"></script>
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<script src="../reveal.js/plugin/highlight/highlight.js"></script>
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<script src="../custom_functions.js"></script>
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<script>
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// More info about initialization & config:
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// - https://revealjs.com/initialization/
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// - https://revealjs.com/config/
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