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Acknowledgements
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The DataLad software and its documentation are the joint work of more than 100 individuals.
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We are deeply grateful for these contributions to free and open source software (FOSS) and documentation.
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Likewise we are grateful to the many more people that produce and maintain the FOSS ecosystem that DataLad is built on.
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We are particularly indebted to Joey Hess, the author of the git-annex software, without which DataLad would not be what it is today.
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The DataLad project received support through the following grants:
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* US-German collaboration in computational neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and deployment logistics into a federated 'data distribution'" (Halchenko/Hanke), co-funded by the US National Science Foundation (NSF 1429999) and the German Federal Ministry of Education and Research (BMBF 01GQ1411).
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* CRCNS US-German Data Sharing "DataLad - a decentralized system for integrated discovery, management, and publication of digital objects of science" (Halchenko/Pestilli/Hanke), co-funded by the US National Science Foundation (NSF 1912266) and the German Federal Ministry of Education and Research (BMBF 01GQ1905).
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* Helmholtz Research Center Jülich, FDM challenge 2022
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* German federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform
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* ReproNim project (NIH 1P41EB019936-01A1).
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* Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant SFB 1451 (431549029, INF project)
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* European Union’s Horizon 2020 research and innovation programme under grant agreements
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* Human Brain Project SGA3 (H2020-EU.3.1.5.3, grant no. 945539)
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* VirtualBrainCloud (H2020-EU.3.1.5.3, grant no. 826421)
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* Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant CRC 379 (512007073, Q02)
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* `Ministry of Culture and Science <https://www.mkw.nrw/english-information>`_ of the German state of North Rhine-Westphalia by funding the `ABCD-J platform <https://www.abcd-j.de/>`_ through the Kooperationsplattformen 2022 program (grant number: KP22-106A)
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.. figure:: artwork/src/funding.svg
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