Abe, T., Kinsella, I., Saxena, S., Buchanan, E. K., Couto, J., Briggs, J., Kitt, S. L., Glassman, R., Zhou, J., Paninski, L., & Cunningham, J. P. (2022). Neuroscience Cloud Analysis as a service: An open-source platform for scalable. Reproducible data Analysis " Neuron, 110(17), 2771–2789e2777. https://doi.org/10.1016/j.neuron.2022.06.018.
Article CAS PubMed Google Scholar
Abrams, M. B., Bjaalie, J. G., Das, S., Egan, G. F., Ghosh, S. S., Goscinski, W. J., Grethe, J. S., Kotaleski, J. H., Ho, E. T. W., Kennedy, D. N., Lanyon, L. J., Leergaard, T. B., Mayberg, H. S., Milanesi, L., Moucek, R., Poline, J. B., Roy, P. K., Strother, S. C., Tang, T. B., Tiesinga, P., Wachtler, T., Wojcik, D. K., & Martone, M. E. (2021). A standards Organization for Open and FAIR neuroscience: The International Neuroinformatics coordinating facility. Neuroinformatics. https://doi.org/10.1007/s12021-020-09509-0.
Article PubMed PubMed Central Google Scholar
Aldhous, P. (2000). Prospect of data sharing gives brain mappers a headache. Nature, 406(6795), 445.
Article CAS PubMed Google Scholar
Ascoli, G. A. (2007). Biomedical research funding: When the game gets tough. Winners Start to play " Bioessays, 29(9), 933–936. https://doi.org/10.1002/bies.20633.
Ascoli, G. A. (2019). “Turning the Tide of Data Sharing " Neuroinformatics 17(4): 473–474. DOI: https://doi.org/10.1007/s12021-019-09437-8.
Birgiolas, J., Haynes, V., Gleeson, P., Gerkin, R. C., Dietrich, S. W., & Crook, S. (2023). NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML. Plos Computational Biology, 19(3), e1010941. https://doi.org/10.1371/journal.pcbi.1010941.
Article CAS PubMed PubMed Central Google Scholar
Bosch-Bayard, J., Aubert-Vazquez, E., Brown, S. T., Rogers, C., Kiar, G., Glatard, T., Scaria, L., Galan-Garcia, L., Bringas-Vega, M. L., Virues-Alba, T., Taheri, A., Das, S., Madjar, C., Mohaddes, Z., MacIntyre, L., Chbmp, Evans, A. C., & Valdes-Sosa, P. A. (2020). A quantitative EEG toolbox for the MNI neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra. " Front Neuroinform, 14, 33. https://doi.org/10.3389/fninf.2020.00033.
Article PubMed PubMed Central Google Scholar
Brakewood, B., & Poldrack, R. A. (2013). “The ethics of secondary data analysis: considering the application of Belmont principles to the sharing of neuroimaging data.“ Neuroimage 82: 671–676. DOI: https://doi.org/10.1016/j.neuroimage.2013.02.040.
Carter, C. S., Bearden, C. E., Bullmore, E. T., Geschwind, D. H., Glahn, D. C., Gur, R. E., Meyer-Lindenberg, A., & Weinberger, D. R. (2017). Enhancing the informativeness and replicability of Imaging Genomics studies. " Biol Psychiatry, 82(3), 157–164. https://doi.org/10.1016/j.biopsych.2016.08.019.
Article CAS PubMed Google Scholar
Close, T. G., Ward, P. G. D., Sforazzini, F., Goscinski, W., Chen, Z., & Egan, G. F. (2020). A Comprehensive Framework to capture the Arcana of Neuroimaging. Analysis " Neuroinformatics, 18(1), 109–129. https://doi.org/10.1007/s12021-019-09430-1.
Das, S., Boucher, L., Rogers, X., Makowski, C., Chouinard-Decorte, C., Oros Klein, F., Beck, K., Rioux, N., Brown, P., Mohaddes, S. T., Zweber, Z., Foing, C., Forest, V., O’Donnell, M., Clark, K. J., Meaney, J., Greenwood, M. J., C. M. T. and, & Evans, A. C. (2018). Integration of omics data and phenotypic data within a Unified Extensible Multimodal Framework. " Front Neuroinform, 12, 91. https://doi.org/10.3389/fninf.2018.00091.
Article PubMed PubMed Central Google Scholar
de Vries, S. E. J., Siegle, J. H., & Koch, C. (2023). Sharing neurophysiology data from the Allen Brain Observatory. Elife 12. https://doi.org/10.7554/eLife.85550.
Editorial (2000). A debate over fMRI data sharing. Nature Neuroscience, 3(9), 845–846.
Esteban, O., Birman, D., Schaer, M., Koyejo, O. O., Poldrack, R. A., & Gorgolewski, K. J. (2017). MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. PLoS One, 12(9), e0184661. https://doi.org/10.1371/journal.pone.0184661.
Article CAS PubMed PubMed Central Google Scholar
Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., Kent, J. D., Goncalves, M., DuPre, E., Snyder, M., Oya, H., Ghosh, S. S., Wright, J., Durnez, J., Poldrack, R. A., & Gorgolewski, K. J. (2019). fMRIPrep: A robust preprocessing pipeline for functional MRI. Nature Methods, 16(1), 111–116. https://doi.org/10.1038/s41592-018-0235-4.
Article CAS PubMed Google Scholar
Hall, D., Huerta, M. F., McAuliffe, M. J., & Farber, G. K. (2012). Sharing heterogeneous data: The national database for autism research. Neuroinformatics, 10(4), 331–339. https://doi.org/10.1007/s12021-012-9151-4.
Article PubMed PubMed Central Google Scholar
Hanke, M., Pestilli, F., Wagner, A. S., Markiewicz, C. J., Poline, J. B., & Halchenko, Y. O. (2021). “In defense of decentralized research data management " Neuroforum 27(1): 17–25. DOI: https://doi.org/10.1515/nf-2020-0037.
Article PubMed PubMed Central Google Scholar
Hanson, K. A., Almeida, N., Traylor, J. I., Rajagopalan, D., & Johnson, J. (2020). “Profile of Data Sharing in the Clinical Neurosciences " Cureus 12(8): e9927. DOI: https://doi.org/10.7759/cureus.9927.
Article PubMed PubMed Central Google Scholar
Hasson, U., & Nusbaum, H. C. (2019). Emerging opportunities for advancing cognitive neuroscience. Trends in Cognitive Sciences, 23(5), 363–365. https://doi.org/10.1016/j.tics.2019.02.007.
Hayashi, S., Caron, B. A., Heinsfeld, A. S., Vinci-Booher, S., McPherson, B., Bullock, D. N., Berto, G., Niso, G., Hanekamp, S., Levitas, D., Ray, K., MacKenzie, A., Kitchell, L., Leong, J. K., Nascimento-Silva, F., Koudoro, S., Willis, H., Jolly, J. K., Pisner, D., Zuidema, T. R., Kurzawski, J. W., Mikellidou, K., Bussalb, A., Rorden, C., Victory, C., Bhatia, D., Aydogan, D. B., Yeh, F. F., Delogu, F., Guaje, J., Veraart, J., Bollman, S., Stewart, A., Fischer, J., Faskowitz, J., Chaumon, M., Fabrega, R., Hunt, D., McKee, S., Brown, S. T., Heyman, S., Iacovella, V., Mejia, A. F., Marinazzo, D., Craddock, R. C., Olivetti, E., Hanson, J. L., Avesani, P., Garyfallidis, E., Stanzione, D., Carson, J., Henschel, R., Hancock, D. Y., Stewart, C. A., Schnyer, D., Eke, D. O., Poldrack, R. A., George, N., Bridge, H., Sani, I., Freiwald, W. A., & Puce, A. (2023). Port, N. L. and Pestilli, F. “brainlife.io: A decentralized and open source cloud platform to support neuroscience research.“ ArXiv.
Hsu, N. S., Fang, H. Y., David, K. K., Gnadt, J. W., Peng, G. C., Talley, E. M., Ward, J. M., Ngai, J., & Koroshetz, W. J. (2020). The promise of the BRAIN initiative: NIH strategies for understanding neural circuit function. Current Opinion in Neurobiology, 65, 162–166. https://doi.org/10.1016/j.conb.2020.10.008.
Article CAS PubMed Google Scholar
The International Brain Laboratory, Bonacchi, N., Chapuis, G. A., Churchland, A. K., DeWitt, E. E. J., Faulkner, M., Harris, K. D., Huntenburg, J. M., Hunter, M., Laranjeira, I. C., Rossant, C., Sasaki, M., Schartner, M. M., Shen, S., Steinmetz, N. A., Walker, E. Y., West, S. J., Winter, O., & Wells, M. J. (2023). A modular architecture for organizing, processing and sharing neurophysiology data. Nature Methods, 20(3), 403–407. https://doi.org/10.1038/s41592-022-01742-6.
Article CAS PubMed Central Google Scholar
Katz, D. S., Allen, G., Barba, L. A., Berg, D. R., Bik, H., Boettiger, C., Borgman, C. L., Brown, C. T., Buck, S., Burd, R., de Waard, A., Eve, M. P., Granger, B. E., Greenberg, J., Howe, A., Howe, B., Khanna, M., Killeen, T. L., Mayernik, M., McKiernan, E., Mentzel, C., Merchant, N., Niemeyer, K. E., Noren, L., Nusser, S. M., Reed, D. A., Seidel, E., Smith, M., Spies, J. R., Turk, M., Van Horn, J. D., & Walsh, J. (2018). The principles of tomorrow’s university. F1000Res 7: 1926. https://doi.org/10.12688/f1000research.17425.1.
Markiewicz, C. J., Gorgolewski, K. J., Feingold, F., Blair, R., Halchenko, Y. O., Miller, E., Hardcastle, N., Wexler, J., Esteban, O., Goncavles, M., Jwa, A., & Poldrack, R. (2021). The OpenNeuro resource for sharing of neuroscience data. Elife 10. https://doi.org/10.7554/eLife.71774.
Murphy, F., Bar-Sinai, M., & Martone, M. E. (2021). A tool for assessing alignment of biomedical data repositories with open, FAIR, citation and trustworthy principles. PLoS One, 16(7), e0253538. https://doi.org/10.1371/journal.pone.0253538.
Article CAS PubMed PubMed Central Google Scholar
Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J. B., Proal, E., Thirion, B., Van Essen, D. C., White, T., & Yeo, B. T. (2017). Best practices in data analysis and sharing in neuroimaging using MRI. " Nat Neurosci, 20(3), 299–303. https://doi.org/10.1038/nn.4500.
Article CAS PubMed PubMed Central Google Scholar
Payakachat, N., Tilford, J. M., & Ungar, W. J. (2016). “National Database for Autism Research (NDAR): Big Data Opportunities for Health Services Research and Health Technology Assessment " Pharmacoeconomics 34(2): 127–138. DOI: https://doi.org/10.1007/s40273-015-0331-6.
Pernet, C., Garrido, M. I., Gramfort, A., Maurits, N., Michel, C. M., Pang, E., Salmelin, R., Schoffelen, J. M., Valdes-Sosa, P. A., & Puce, A. (2020). Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research. Nature Neuroscience, 23(12), 1473–1483. https://doi.org/10.1038/s41593-020-00709-0.
Article CAS PubMed Google Scholar
Pernet, C., Svarer, C., Blair, R., Van Horn, J. D., & Poldrack, R. A. (2023). “On the Long-term Archiving of Research Data " Neuroinformatics 21(2): 243–246. DOI: https://doi.org/10.1007/s12021-023-09621-x.
Poldrack, R. A. (2019). “The Costs of Reproducibility " Neuron 101(1): 11–14. DOI: https://doi.org/10.1016/j.neuron.2018.11.030.
Article CAS PubMed Google Scholar
Quaglio, G., Corbetta, M., Karapiperis, T., Amunts, K., Koroshetz, W., Yamamori, T., & Draghia-Akli, R. (2017). Understanding the brain through large, multidisciplinary research initiatives. Lancet Neurology, 16(3), 183–184. https://doi.org/10.1016/S1474-4422(17)30020-0.
Reer, A., Wiebe, A., Wang, X., & Rieger, J. W. (2023). FAIR human neuroscientific data sharing to advance AI driven research and applications: Legal frameworks and missing metadata standards. Frontiers in Genetics, 14, 1086802. https://doi.org/10.3389/fgene.2023.1086802.
Article PubMed PubMed Central Google Scholar
Ropelewski, A. J., Rizzo, M. A., Swedlow, J. R., Huisken, J., Osten, P., Khanjani, N., Weiss, K., Bakalov, V., Engle, M., Gridley, L., Krzyzanowski, M., Madden, T., Maiese, D., Mandal, M., Waterfield, J., Williams, D., Hamilton, C. M., & Huggins, W. (2022). Standard metadata for 3D microscopy. " Sci Data, 9(1), 449. https://doi.org/10.1038/s41597-022-01562-5.
Article PubMed PubMed Central Google Scholar
Schwarz, C. G., Kremers, W. K., Arani, A., Savvides, M., Reid, R. I., Gunter, J. L., Senjem, M. L., Cogswell, P. M., Vemuri, P., Kantarci, K., Knopman, D. S., Petersen, R. C., & Jack, C. R. (2023). Jr. and Alzheimer’s Disease Neuroimaging, I. “A face-off of MRI research sequences by their need for de-facing.“ Neuroimage 276: 120199. https://doi.org/10.1016/j.neuroimage.2023.120199.
Sexton, C., Snyder, H., Beher, D., Boxer, A. L., Brannelly, P., Brion, J. P., Buee, L., Cacace, A. M., Chetelat, G., Citron, M., DeVos, S. L., Diaz, K., Feldman, H. H., Frost, B., Goate, A. M., Gold, M., Hyman, B., Johnson, K., Karch, C. M., Kerwin, D. R., Koroshetz, W. J., Litvan, I., Morris, H. R., Mummery, C. J., Mutamba, J., Patterson, M. C., Quiroz, Y. T., Rabinovici, G. D., Rommel, A., Shulman, M. B., Toledo-Sherman, L. M., Weninger, S., Wildsmith, K. R., Worley, S. L., & Carrillo, M. C. (2022). Current directions in tau research: Highlights from tau 2020. Alzheimers Dement, 18(5), 988–1007. https://doi.org/10.1002/alz.12452.
Thompson, P. M., Jahanshad, N., Ching, C. R. K., Salminen, L. E., Thomopoulos, S. I., Bright, J., Baune, B. T., Bertolín, S., Bralten, J., Bruin, W. B., Bülow, R., Chen, J., Chye, Y., Dannlowski, U., de Kovel, C. G. F., Donohoe, G., Eyler, L. T., Faraone, S. V., Favre, P., Filippi, C. A., … ENIGMA Consortium. (2020). ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Translational Psychiatry, 10(1), 100. https://doi.org/10.1038/s41398-020-0705-1.
Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., Franke, B., Wright, M. J., Martin, N. G., Agartz, I., Alda, M., Alhusaini, S., Almasy, L., Almeida, J., Alpert, K., Andreasen, N. C., Andreassen, O. A., … Alzheimer’s Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group. (2014). The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging and Behavior, 8(2), 153–182. https://doi.org/10.1007/s11682-013-9269-5.
Tovino, S. A.
Comments (0)