bibliography.bib

@incollection{sep-science-big-data ,
    author = {Leonelli, Sabina},
    title = {{Scientific Research and Big Data}},
    editor = {Edward N. Zalta},
    booktitle = {The {Stanford} Encyclopedia of Philosophy},
    publisher = {Metaphysics Research Lab, Stanford University},
    year = {2020},
    pages = {129--158}
}

@article{Gregory2020Lost,
    journal = {Harvard Data Science Review},
    doi = {10.1162/99608f92.e38165eb},
    number = {2},
    note = {https://hdsr.mitpress.mit.edu/pub/gw3r97ht},
    publisher = {},
    title = {Lost or Found? Discovering Data Needed for Research },
    url = {https://hdsr.mitpress.mit.edu/pub/gw3r97ht},
    volume = {2},
    author = {Gregory, Kathleen and Groth, Paul and Scharnhorst, Andrea and Wyatt, Sally},
    date = {2020-04-30},
    year = {2020},
    month = {4},
    day = {30},
}

@misc{JahnkeAsher,
    author = {Jahnke, Lori M. and Asher, Andrew},
    title = {The Problem of Data: Data Management and Curation Practices Among University Researchers},
    howpublished = {Available at \url{https://www.clir.org/pubs/reports/pub154/problem-of-data/} (accessed 2022/03/12)}
}

@article{WienerBronner ,
    author = {Danielle Wiener-Bronner},
    date    = {2013-12-23},
    title = {Most Scientific Research Data From the 1990s Is Lost Forever},
    journal = {The Atlantic},
    year = {2013},
    url = {https://www.theatlantic.com/national/archive/2013/12/scientific-data-lost-forever/356422/},
    urldate = {2022-03-12},
}

@article{Vines2014 ,
    author = {Vines, T. H. and Albert, A. and Andrew, R. L. and Débarre, F. and Bock, D. G. and Franklin, M. T. and Gilbert, K. J. and Moore, J. S. and Renaut, S. and Rennison, D. J.},
    date    = {2013-12-23},
    title = {The availability of research data declines rapidly with article age},
    journal = {Current biology},
    year = {2014},
    volume = {24},
    number = {1},
    pages = {94–-97},
    url = {https://doi.org/10.1016/j.cub.2013.11.014},
    urldate = {2022-03-12},
}

@article{Miyakawa2020 ,
    author = {Miyakawa, T.},
    date    = {2020-02-21},
    title = {No raw data, no science: another possible source of the reproducibility crisis},
    journal = {Molecular Brain},
    year = {2020},
    volume = {13},
    number = {24},
    url = {https://doi.org/10.1186/s13041-020-0552-2},
    urldate = {2022-03-12},
}

@misc{TeperekDunning,
    author = {Marta Teperek and Alastair Dunning},
    title = {The main obstacles to better research data management and sharing are cultural. But change is in our hands},
    howpublished = {Available at \url{https://blogs.lse.ac.uk/impactofsocialsciences/2018/11/14/the-main-obstacles-to-better-research-data-management-and-sharing-are-cultural-but-change-is-in-our-hands/} (accessed 2022/03/12)}
}

@article{Nature2018 ,
    date    = {2018-07-19},
    title = {Data sharing and the future of science},
    journal = {Nature Communications},
    year = {2018},
    volume = {9},
    number = {2817},
    url = {https://doi.org/10.1038/s41467-018-05227-z},
    urldate = {2022-03-12},
}

@article{BonasGuarch2018,
    author = {Sílvia Bonàs-Guarch and Marta Guindo-Martínez and Irene Miguel-Escalada and Niels Grarup and David Sebastian and Elias Rodriguez-Fos and others},
    date    = {2018-01-22},
    title = {Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes},
    journal = {Nature Communications},
    year = {2018},
    volume = {9},
    number = {321},
    url = {https://doi.org/10.1038/s41467-017-02380-9},
    urldate = {2022-03-12},
}

@article{McKiernan2016,
    author = {Erin C McKiernan and Philip E Bourne and C Titus Brown and Stuart Buck and Amye Kenall and Jennifer Lin and others},
    date    = {2016-07-07},
    title = {Point of View: How open science helps researchers succeed},
    journal = {eLife},
    year = {2016},
    volume = {5},
    number = {e16800},
    url = {https://doi.org/10.7554/eLife.16800.001},
    urldate = {2022-03-12},
}

@article{Kozlov2022,
    author = {Max Kozlov},
    date    = {2022-02-22},
    title = {NIH issues a seismic mandate: share data publicly},
    journal = {Nature},
    year = {2022},
    volume = {602},
    pages = {558--559},
    url = {doi: https://doi.org/10.1038/d41586-022-00402-1},
    urldate = {2022-03-12},
}

@misc{DataLad,
    title = {DataLad},
    howpublished = {Available at \url{https://www.datalad.org/} (accessed 2022/03/12)}
}

@article{Wilkinson2016,
    author = {Mark D. Wilkinson and Michel Dumontier and IJsbrand Jan Aalbersberg and MGabrielle Appleton and Myles Axton and Arie Baak and others},
    date    = {2016-03-15},
    title = {The FAIR Guiding Principles for scientific data management and stewardship},
    journal = {Scientific Data},
    year = {2016},
    volume = {3},
    number = {160018},
    url = {https://doi.org/10.1038/sdata.2016.18},
    urldate = {2022-03-12},
}

@article{BasicFrameworkv1,
    author = {Hylke Koers and Patricia Herterich and Rob Hooft and Morane Gruenpeter and Tero Aalto},
    date    = {2020-11-30},
    title = {M2.10 Report on basic framework on FAIRness of services (1.0)},
    journal = {Zenodo},
    year = {2020},
    url = {https://doi.org/10.5281/zenodo.5473015},
    urldate = {2022-03-12},
}

@article{BasicFrameworkv3,
    author = {Hylke Koers and Patricia Herterich and Rob Hooft and Morane Gruenpeter and Tero Aalto and Sara Ramezani},
    date    = {2021-05-19},
    title = {Basic framework on FAIRness of services - iteration 3 (Version 3)},
    journal = {Zenodo},
    year = {2021},
    url = {https://doi.org/10.5281/zenodo.4771937},
    urldate = {2022-03-12},
}

@article{gorgolewski2016brain,
  title={The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments},
  author={Gorgolewski, Krzysztof J and Auer, Tibor and Calhoun, Vince D and Craddock, R Cameron and Das, Samir and Duff, Eugene P and Flandin, Guillaume and Ghosh, Satrajit S and Glatard, Tristan and Halchenko, Yaroslav O and others},
  journal={Scientific data},
  volume={3},
  number={1},
  pages={1--9},
  year={2016},
  publisher={Nature Publishing Group}
}

 @misc{ceramic-intro, title={Introduction: Ceramic developers}, url={https://developers.ceramic.network/learn/welcome/}, journal={Introduction - Ceramic Developers}} 

@misc{rokem_dichter_holdgraf_ghosh_2021,
 title={Pan-neuro: interactive computing at scale with BRAIN datasets},
 url={osf.io/mwh2b},
 DOI={10.31219/osf.io/mwh2b},
 publisher={OSF Preprints},
 author={Rokem, Ariel and Dichter, Ben and Holdgraf, Christopher and Ghosh, Satrajit S},
 year={2021},
 month={Sep}
}

@inproceedings{keator2019tools,
  title={Tools for FAIR neuroimaging experiment metadata annotation with NIDM experiment},
  author={Keator, David and Helmer, Karl and Maumet, Camille and Padhy, Smruti and Jarecka, Dorota and Kennedy, David and Ghosh, Satrajit and Poline, Jean-Baptiste},
  booktitle={OHBM 2019-25th Annual Meeting of the Organization for Human Brain Mapping,},
  pages={1--5},
  year={2019}
}


@article{Wagner2021.10.12.464122,
	abstract = {Large-scale datasets present unique opportunities to perform scientific investigations with un-precedented breadth. However, they also pose considerable challenges for the findability, accessibility, interoperability, and reusability (FAIR) of research outcomes due to infrastructure limitations, data usage constraints, or software license restrictions. Here we introduce a DataLad-based, domain-agnostic framework suitable for reproducible data processing in compliance with open science mandates. The framework attempts to minimize platform idiosyncrasies and performance-related complexities. It affords the capture of machine-actionable computational provenance records that can be used to retrace and verify the origins of research outcomes, as well as be re-executed independent of the original computing infrastructure. We demonstrate the framework{\textquoteright}s performance using two showcases: one highlighting data sharing and transparency (using the studyforrest.org dataset) and another highlighting scalability (using the largest public brain imaging dataset available: the UK Biobank dataset).Competing Interest StatementThe authors have declared no competing interest.},
	author = {Wagner, Adina S. and Waite, Laura K. and Wierzba, Ma{\l}gorzata and Hoffstaedter, Felix and Waite, Alexander Q. and Poldrack, Benjamin and Eickhoff, Simon B. and Hanke, Michael},
	doi = {10.1101/2021.10.12.464122},
	elocation-id = {2021.10.12.464122},
	eprint = {https://www.biorxiv.org/content/early/2022/02/01/2021.10.12.464122.full.pdf},
	journal = {bioRxiv},
	publisher = {Cold Spring Harbor Laboratory},
	title = {FAIRly big: A framework for computationally reproducible processing of large-scale data},
	url = {https://www.biorxiv.org/content/early/2022/02/01/2021.10.12.464122},
	year = {2022},
	Bdsk-Url-1 = {https://www.biorxiv.org/content/early/2022/02/01/2021.10.12.464122},
	Bdsk-Url-2 = {https://doi.org/10.1101/2021.10.12.464122}}

 @misc{ocean-protocol, title={Ocean Protocol: Tools for the web3 economy}, url={https://oceanprotocol.com/tech-whitepaper.pdf}, publisher={Ocean Protocol with BigchainDB Gmbh}} 

@inproceedings{psaras2020interplanetary,
  title={The interplanetary file system and the filecoin network},
  author={Psaras, Yiannis and Dias, David},
  booktitle={2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S)},
  pages={80--80},
  year={2020},
  organization={IEEE}
}

@article{boeckhout2018fair,
  title={The FAIR guiding principles for data stewardship: fair enough?},
  author={Boeckhout, Martin and Zielhuis, Gerhard A and Bredenoord, Annelien L},
  journal={European journal of human genetics},
  volume={26},
  number={7},
  pages={931--936},
  year={2018},
  publisher={Nature Publishing Group}
}

@article{wise2019implementation,
  title={Implementation and relevance of FAIR data principles in biopharmaceutical R\&D},
  author={Wise, John and de Barron, Alexandra Grebe and Splendiani, Andrea and Balali-Mood, Beeta and Vasant, Drashtti and Little, Eric and Mellino, Gaspare and Harrow, Ian and Smith, Ian and Taubert, Jan and others},
  journal={Drug discovery today},
  volume={24},
  number={4},
  pages={933--938},
  year={2019},
  publisher={Elsevier}
}

@article{gorgolewski2017openneuro,
  title={OpenNeuro—a free online platform for sharing and analysis of neuroimaging data},
  author={Gorgolewski, Krzysztof and Esteban, Oscar and Schaefer, Gunnar and Wandell, Brian and Poldrack, Russell},
  journal={Organization for human brain mapping. Vancouver, Canada},
  volume={1677},
  number={2},
  year={2017}
}

@article{laird2005brainmap,
  title={Brainmap},
  author={Laird, Angela R and Lancaster, Jack J and Fox, Peter T},
  journal={Neuroinformatics},
  volume={3},
  number={1},
  pages={65--77},
  year={2005},
  publisher={Springer}
}

 @misc{tuttle_2022_ipfs, title={Decentralized Content Networks for a permanent Science Data Commons: Ipfs}, url={https://pulse.opsci.io/decentralized-content-networks-for-a-permanent-science-data-commons-ipfs-9bf0dae73d3e}, journal={Medium}, publisher={OpSci}, author={Tuttle, Caleb}, year={2022}, month={Jan}} 

 @misc{tuttle_2022_filecoin, title={Engineering incentives for data storage as a commodity: Filecoin}, url={https://pulse.opsci.io/engineering-incentives-for-data-storage-as-a-commodity-filecoin-c65308a2d743}, journal={Medium}, publisher={OpSci}, author={Tuttle, Caleb}, year={2022}, month={Jan}} 

 @misc{wagner_hanke_2019, title={An automatically and computationally reproducible neuroimaging analysis from scratch - The datalad handbook}, journal={An automatically and computationally reproducible neuroimaging analysis from scratch - The DataLad Handbook}, author={Wagner, Adina and Hanke, Michael}, year={2019}, month={Oct}} 

@misc{ipfs, title={IPFs powers the distributed web}, url={https://ipfs.io/}, journal={IPFS Powers the Distributed Web}} 

@misc{pl, title={The data model of the content-addressable web}, url={https://ipld.io/}, journal={IPLD}, author={Protocol Labs}} 

@misc{seldamat, title={Rich in data, poor in wisdom: Science needs a Decentralized Data Commons}, url={https://pulse.opsci.io/rich-in-data-poor-in-wisdom-science-needs-a-decentralized-data-commons-98c7ffdb56a1}, journal={Medium}, publisher={OpSci}, author={Shady El Damaty, Ph.D.}, year={2022}, month={Jan}} 

@misc{js, title={Science Token Engineering Part 2: The profit sharing vision}, url={https://medium.com/opscientia-dao/science-token-engineering-part-2-the-profit-sharing-vision-bfc7c4f69f69}, journal={Medium}, publisher={OpSci}, author={Smékal, Jakub}, year={2022}, month={Feb}}