@inproceedings{tritt2019hdmf,
  title={HDMF: hierarchical data modeling framework for modern science data standards},
  author={Tritt, Andrew J and R{\"u}bel, Oliver and Dichter, Benjamin and Ly, Ryan and Kang, Donghe and Chang, Edward F and Frank, Loren M and Bouchard, Kristofer},
  booktitle={2019 IEEE International Conference on Big Data (Big Data)},
  pages={165--179},
  year={2019},
  organization={IEEE},
  doi={10.1109/BigData47090.2019.9005648}
}

@article{belthangady2019applications,
  title={Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction},
  author={Belthangady, Chinmay and Royer, Loic A},
  journal={Nature methods},
  volume={16},
  number={12},
  pages={1215--1225},
  year={2019},
  publisher={Nature Publishing Group US New York},
  doi={10.1038/s41592-019-0458-z}
}

@article{wilkinson2016fair,
  title={The FAIR Guiding Principles for scientific data management and stewardship},
  author={Wilkinson, Mark D and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E and others},
  journal={Scientific data},
  volume={3},
  number={1},
  pages={1--9},
  year={2016},
  publisher={Nature Publishing Group},
  doi={10.1038/sdata.2016.18}
}

@article{rubel2022neurodata,
  title={The Neurodata Without Borders ecosystem for neurophysiological data science},
  author={R{\"u}bel, Oliver and Tritt, Andrew and Ly, Ryan and Dichter, Benjamin K and Ghosh, Satrajit and Niu, Lawrence and Baker, Pamela and Soltesz, Ivan and Ng, Lydia and Svoboda, Karel and others},
  journal={Elife},
  volume={11},
  pages={e78362},
  year={2022},
  publisher={eLife Sciences Publications Limited},
  doi={10.7554/eLife.78362}
}

@article{huerta2023fair,
  title={FAIR for AI: An interdisciplinary and international community building perspective},
  author={Huerta, EA and Blaiszik, Ben and Brinson, L Catherine and Bouchard, Kristofer E and Diaz, Daniel and Doglioni, Caterina and Duarte, Javier M and Emani, Murali and Foster, Ian and Fox, Geoffrey and others},
  journal={Scientific data},
  volume={10},
  number={1},
  pages={487},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@article{goble2020fair,
  title={FAIR computational workflows},
  author={Goble, Carole and Cohen-Boulakia, Sarah and Soiland-Reyes, Stian and Garijo, Daniel and Gil, Yolanda and Crusoe, Michael R and Peters, Kristian and Schober, Daniel},
  journal={Data Intelligence},
  volume={2},
  number={1-2},
  pages={108--121},
  year={2020},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}

@misc{souza2019provenance,
      title={Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering},
      author={Renan Souza and Leonardo Azevedo and Vítor Lourenço and Elton Soares and Raphael Thiago and Rafael Brandão and Daniel Civitarese and Emilio Vital Brazil and Marcio Moreno and Patrick Valduriez and Marta Mattoso and Renato Cerqueira and Marco A. S. Netto},
      year={2019},
      eprint={1910.04223},
      archivePrefix={arXiv},
      primaryClass={cs.DC}
}

@software{hdf5,
  author = {{The HDF Group}},
  title = {{Hierarchical Data Format, version 5}},
  url = {https://github.com/HDFGroup/hdf5}
}

@software{zarr,
  author       = {Alistair Miles and
                  jakirkham and
                  M Bussonnier and
                  Josh Moore and
                  Dimitri Papadopoulos Orfanos and
                  James Bourbeau and
                  Andrew Fulton and
                  Davis Bennett and
                  Gregory Lee and
                  Sanket Verma and
                  Zain Patel and
                  Ryan Abernathey and
                  David Stansby and
                  Mads R. B. Kristensen and
                  Matthew Rocklin and
                  AWA BRANDON AWA and
                  Joe Hamman and
                  Saransh Chopra and
                  Elliott Sales de Andrade and
                  Martin Durant and
                  Vincent Schut and
                  raphael dussin and
                  Juan Nunez-Iglesias and
                  Chris Barnes and
                  Shivank Chaudhary and
                  shikharsg and
                  hailiangzhang and
                  Weddy Gikunda},
  title        = {zarr-developers/zarr-python: v2.17.1},
  year         = 2024,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.3773449},
  url          = {https://doi.org/10.5281/zenodo.3773449}
}

@software{Tritt_deep-taxon,
  author = {Tritt, Andrew J},
  license = {BSD-3-Clause-LBNL},
  title = {{deep-taxon}},
  url = {https://github.com/exabiome/deep-taxon}
}
