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<!DOCTYPE html>
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<title>Brain Image Library: Citation</title>
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<h1>Citing Data</h1>
<H2>Overview</H2>
This section discusses current recommended ways to cite datasets in BIL.
<ol>
<li><a href="#Ack">Acknowledgement:</a> Recommended way to acknowledge BIL.</li>
<li><a href="#Data">Dataset Citation:</a> Recommended way to cite BIL entries.</li>
<ol>
<li><a href="#DataWithDOI">Datasets with DOIs</li>
<li><a href="#DataWithoutDOI">Datasets without DOIs</li>
<li><a href="#Collections">Groups of Datasets</li>
</ol>
<li><a href="#AU">Licence and acceptable use</a></li>
</ol>
<H2>Citation</H2>
<ol>
<li id="ACK"><b>Recommended way to acknowledge BIL</b>
<p>
Suggested text to acknowledge that entries from the Brain Image
Library were used in a publication is below:</p>
<p>
<i>
This work used data from the Brain Image Library (RRID: SCR_17272)[1], which is supported by
the National Institutes of Mental Health of the National Institutes of
Health under award number R24-MH-114793. The content is solely the
responsibility of the authors and does not necessarily represent the
official views of the National Institutes of Health.
</i>
<p>[1] Kathy Benninger, Greg Hood, Derek Simmel, Luke Tuite, Arthur Wetzel,
Alexander Ropelewski, Simon Watkins, Alan Watson, and Marcel Bruchez. 2020.
Cyberinfrastructure of a Multi-Petabyte Microscopy Resource for Neuroscience
Research. In Practice and Experience in Advanced Research Computing (PEARC '20).
Association for Computing Machinery, New York, NY, USA, 1–7.
DOI:https://doi.org/10.1145/3311790.3396653</p>
<p>[2] Mariah Kenney, Iaroslavna Vasylieva, Greg Hood, Ivan Cao-Berg, Luke Tuite,
Rozita Laghaei, Megan C. Smith, Alan M. Watson, Alexander J. Ropelewski
2023. The Brain Image Library: A Community-Contributed Microscopy Resource for Neuroscientists.
bioRxiv 2023.12.22.573024; doi: https://doi.org/10.1101/2023.12.22.573024
</p>
</li>
<li id="DATA"><b>Recommended way to cite BIL entries</b>
</li>
<ol>
<li id="DataWithDOI"><b>Datasets with DOIs</b></li>
<p> BIL is in the process of transitioning to a DOI system for datasets.
For datasets that have been issued a DOI, the DOI landing page will contain
the correct way to site the exact dataset which is in the form: </p>
<p><i>Creator (PublicationYear). Title. Brain Image Library (RRID: SCR_17272). <a href="identifiers.html">DatasetDOI</a></i></p>
<p>Alternatively, for datasets that have been versioned, the form is:
<p><i>Creator (PublicationYear). Title. Version. Brain Image Library (RRID: SCR_17272). <a href="identifiers.html">DatasetDOI</a></i></p>
<li id="DataWithOutDOI"><b>Datasets without DOIs</b></li>
<p> If you would like to cite a BIL dataset that does not yet have a DOI issued, please reach out to
[email protected]</p> (Recommended). Otherwise, to cite a BIL dataset use the <a href="identifiers.html">BIL dataset
identifier</a>. The landing page for the dataset will contain
the correct way to site the exact dataset which is in the form: </p>
<p><i>Creator (PublicationYear). Title. Brain Image Library (RRID: SCR_17272). <a href="identifiers.html">BILDatasetIdentifier</a></i></p>
<li id="Collections"><b>Groups of datasets</b></li>
<p> BIL has the capability to issue a single DOI for a group of BIL datasets (for example, all datasets used in a paper). If you would
like to take advantage of this service, please reach out to [email protected]</p>
</ol>
<li id="AU"><b>Licence and acceptable use</b>
<p>BIL Data is distributed under the <a href="https://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike
4.0 International License</a>. </p>
<p><i>Use of Pre-publication Data.</i></p>
<p>The library encourages researchers using datasets from the Brain Image
Library for which there is no peer-reviewed publication identified, to
contact the data producers to discuss possible coordinated publications
and collaborations. </p>
</p>
</ol>
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