% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Nikolaidis:1019168, author = {Nikolaidis, Aki and Manchini, Matteo and Auer, Tibor and L. Bottenhorn, Katherine and Alonso-Ortiz, Eva and Gonzalez-Escamilla, Gabriel and Valk, Sofie and Glatard, Tristan and Selim Atay, Melvin and M. M. Bayer, Johanna and Bijsterbosch, Janine and Algermissen, Johannes and Beck, Natacha and Bermudez, Patrick and Poyraz Bilgin, Isil and Bollmann, Steffen and Bradley, Claire and E. J. Campbell, Megan and Caron, Bryan and Civier, Oren and Pedro Coelho, Luis and El Damaty, Shady and Das, Samir and Dugré, Mathieu and Earl, Eric and Evas, Stefanie and Lopes Fischer, Nastassja and Fu Yap, De and G. Garner, Kelly and Gau, Remi and Ganis, Giorgio and G. E. Gomes, Dylan and Grignard, Martin and Guay, Samuel and Faruk Gulban, Omer and Hamburg, Sarah and O. Halchenko, Yaroslav and Hayot-Sasson, Valerie and Liu Holford, Dawn and Huber, Laurentius and Illanes, Manuel and Johnstone, Tom and Kalyani, Avinash and Kashyap, Kinshuk and Ke, Han and Khormi, Ibrahim and Kiar, Gregory and Ković, Vanja and Kuehn, Tristan and Kumar, Achintya and Lecours-Boucher, Xavier and Lührs, Michael and Luke, Robert and Madjar, Cecile and Mansour L., Sina and Markeweicz, Chris and Andrea Martinez, Paula and McCarroll, Alexandra and Michel, Léa and Moia, Stefano and Narayanan, Aswin and Niso, Guiomar and A. O’Brien, Emmet and Oudyk, Kendra and Paugam, François and G. Pavlov, Yuri and Poline, Jean-Baptiste and A. Poser, Benedikt and Provins, Céline and Reddy Raamana, Pradeep and Rioux, Pierre and Romero-Bascones, David and Sareen, Ekansh and Schettino, Antonio and Shaw, Alec and Shaw, Thomas and A. Smout, Cooper and Šoškié, Anđdela and Stone, Jessica and J Styles, Suzy and Sullivan, Ryan and Sunami, Naoyuki and Sundaray, Shamala and Wei Rou, Jasmine and Thanh Thuy, Dao and Tourbier, Sebastien and Urch, Sebastián and de la Vega, Alejandro and Viswarupan, Niruhan and Wagner, Adina Svenja and Walger, Lennart and Wang, Hao and Ting Woon, Fei and White, David and Wiggins, Christopher John and Woods, Will and Yang, Yuankai and Zaytseva, Ksenia and D. Zhu, Judy and P. Zwiers, Marcel}, title = {{P}roceedings of the {OHBM} {B}rainhack 2021}, journal = {Aperture}, volume = {3}, issn = {0003-6420}, address = {New York, NY}, publisher = {Aperture Foundation Inc.}, reportid = {FZJ-2023-05214}, pages = {1-20}, year = {2023}, abstract = {The global pandemic presented new challenges and op-portunities for organizing conferences, and OHBM 2021was no exception. The OHBM Brainhack is an event thatoccurs just prior to the OHBM meeting, typically in-per-son, where scientists of all levels of expertise and interestgather to work and learn together for a few days in a col-laborative hacking-style environment on projects of com-mon interest (1). Building off the success of the OHBM2020 Hackathon (2), the 2021 Open Science SpecialInterest Group came together online to organize a largecoordinated Brainhack event that would take place overthe course of 4 days. The OHBM 2021 Brainhack eventwas organized along two guiding principles, providinga highly inclusive collaborative environment for inter-action between scientists across disciplines and levelsof expertise to push forward important projects thatneed support, also known as the “Hack-Track” of theBrainhack. The second aim of the OHBM Brainhack is toempower scientists to improve the quality of their sci-entific endeavors by providing high-quality hands-ontraining on best practices in open-science approaches.This is best exemplified by the training events providedby the “Train-Track” at the OHBM 2021 Brainhack. Here,we briefly explain both of these elements of the OHBM2021 Brainhack, before continuing on to the Brainhackproceedings.}, cin = {INM-7 / IAS-1 / IEK-6}, ddc = {700}, cid = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)IAS-1-20090406 / I:(DE-Juel1)IEK-6-20101013}, pnm = {5254 - Neuroscientific Data Analytics and AI (POF4-525)}, pid = {G:(DE-HGF)POF4-5254}, typ = {PUB:(DE-HGF)16}, doi = {10.52294/258801b4-a9a9-4d30-a468-c43646391211}, url = {https://juser.fz-juelich.de/record/1019168}, }