Add NeuroLibre reference

publishing/article/background.tex

@@ -24,6 +24,7 @@ \subsection{Reexecutable Research}
 Reexecutability is an emergent topic in research, with a few extant efforts attempting to provide solutions and tackle associated challenges.
 Such efforts stem both from journals and independent researchers interested in the capabilities which reproducible outputs offer to the ongoing development of their projects.
 eLife's journal-based effort \cite{eliferep} provides dynamic article figures based on the top-most data processing output and executable code conforming to journal standards.
+NeuroLibre~\cite{neurolibre} provides a Jupyter Notebook based online platform for publishing executable books along with all the reproducibility assets: code, data, and reproducible runtime.
 Independent researcher efforts offer more comprehensive and flexible solutions, yet provide reference implementations which are either applied to comparatively simple analysis processes \cite{Dar2019} or tackle complex processes, but assume environment management capabilities which may not be widespread \cite{repsep}.
 
 In order to optimally leverage extant efforts pertaining to full article reexecution and in order to test reexecutability in the face of high task complexity, we have selected a novel neuroimaging study, identified as OPFVTA based on author naming conventions \cite{opfvta}.

publishing/bibliography.bib

@@ -947,3 +947,10 @@ @article{Dar2019
   author = {Asim H. Dar and Adina S. Wagner and Michael Hanke},
   title = {{REMoDNaV}: Robust Eye-Movement Classification for Dynamic Stimulation}
 }
+
+@article{neurolibre,
+  title={{NeuroLibre}: A preprint server for full-fledged reproducible neuroscience},
+  author={Karakuzu, Agah and DuPre, Elizabeth and Tetrel, Loic and Bermudez, Patrick and Boudreau, Mathieu and Chin, Mary and Poline, Jean-Baptiste and Das, Samir and Bellec, Pierre and Stikov, Nikola},
+  publisher={OSF Preprints},
+  year={2022}
+}