Abdullah, J. M. (2019). Neurosciences at Universiti Sains Malaysia represent Malaysia to support global precision brain health. Malaysian Journal of Medical Sciences, 26(3), 1–23. https://doi.org/10.21315/mjms2019.26.3.1
Arend, D., Psaroudakis, D., Memon, J. A., Rey-Mazón, E., Schüler, D., Szymanski, J. J., et al. (2022). From data to Knowledge – Big Data Needs Stewardship, a plant phenomics perspective. The Plant Journal, 111(2), 335–347. https://doi.org/10.1111/tpj.15804
Article CAS PubMed Google Scholar
Arroyo Lazo, M. A. (2018). Schwab, Klaus: The Fourth Industrial Revolution. ginebra: World economic forum, 2016, 172 pp. Economía, 41(81), 194–197. https://doi.org/10.18800/economia.201801.012
Austin, C. C., Brown, S., Fong, N., Humphrey, C., Leahey, A., & Webster, P. (2016). Research data repositories: Review of current features, gap analysis, and recommendations for minimum requirements. IASSIST Quarterly, 39(4), 24. https://doi.org/10.29173/iq904
Bertino, E. Bruschi, D., Franzoni, S., Nai-Fovino, I., & Valtolina, S. (2005). Threat modelling for SQL Servers. IFIP — The International Federation for Information Processing, 159–171. https://doi.org/10.1007/0-387-24486-7_12.
Boeckhout, M., Zielhuis, G. A., & Bredenoord, A. L. (2018). The Fair Guiding Principles for Data Stewardship: Fair Enough? European Journal of Human Genetics, 26(7), 931–936. https://doi.org/10.1038/s41431-018-0160-0
Article PubMed PubMed Central Google Scholar
Cai, W., Ryali, S., Chen, T., Li, C.-S.R., & Menon, V. (2014). Dissociable roles of right inferior frontal cortex and anterior insula in inhibitory control: Evidence from intrinsic and task-related functional parcellation, connectivity, and response profile analyses across multiple datasets. Journal of Neuroscience, 34(44), 14652–14667. https://doi.org/10.1523/jneurosci.3048-14.2014
Article CAS PubMed Google Scholar
Carp, J. (2012). On the plurality of (methodological) worlds: Estimating the analytic flexibility of fmri experiments. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2012.00149
Article PubMed PubMed Central Google Scholar
Chandravadia, N., Liang, D., Schjetnan, A. G., Carlson, A., Faraut, M., Chung, J. M., et al (2020). A NWB-based dataset and processing pipeline of human single-neuron activity during a declarative memory task. Scientific Data, 7(1). https://doi.org/10.1038/s41597-020-0415-9
Dijkers, M. P. (2019). A beginner’s Guide to Data Stewardship and data sharing. Spinal Cord, 57(3), 169–182. https://doi.org/10.1038/s41393-018-0232-6
Eickhoff, S., Nichols, T. E., Van Horn, J. D., & Turner, J. A. (2016). Sharing the wealth: Neuroimaging Data Repositories. NeuroImage, 124, 1065–1068. https://doi.org/10.1016/j.neuroimage.2015.10.079
Gao, P., Dong, H.-M., Liu, S.-M., Fan, X.-R., Jiang, C., Wang, Y.-S., et al. (2022). A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01413-3
Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., et al. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data, 3(1). https://doi.org/10.1038/sdata.2016.44
Hanson, K. A., Almeida, N., Traylor, J. I., Rajagopalan, D., & Johnson, J. (2020). Profile of data sharing in the clinical neurosciences. Cureus. https://doi.org/10.7759/cureus.9927
Article PubMed PubMed Central Google Scholar
Hartter, J., Ryan, S. J., MacKenzie, C. A., Parker, J. N., & Strasser, C. A. (2013). Spatially explicit data: Stewardship and ethical challenges in science. PLoS Biology, 11(9). https://doi.org/10.1371/journal.pbio.1001634
Ibrahim, S. A. S., Hamzah, N., Wahab, A. R. A., Abdullah, J. M., Malim, N. H. A. H., Sumari, P., et al. (2020). Big brain data initiative in universiti sains Malaysia: Challenges in brain mapping for Malaysia. Malaysian Journal of Medical Sciences, 27(4), 1–8. https://doi.org/10.21315/mjms2020.27.4.1
Jakob, R. (2017). Disease Classification. International Encyclopedia of Public Health (Second Edition), 332–337. https://doi.org/10.1016/B978-0-12-803678-5.00116-8
Joseph, A., & Chandra, J. (2022). Machine learning approaches for efficient analysis of neuroimaging techniques. SHS Web of Conferences, 139, 03027. https://doi.org/10.1051/shsconf/202213903027
Jwa, A., & Poldrack, R. (2022). The spectrum of data sharing policies in neuroimaging data repositories. Human Brain Mapping, 43(8), 2707–2721. https://doi.org/10.1002/hbm.25803
Keator, D. B., Helmer, K., Steffener, J., Turner, J. A., Van Erp, T. G. M., Gadde, S., et al. (2013). Towards structured sharing of raw and derived neuroimaging data across existing resources. NeuroImage, 82, 647–661. https://doi.org/10.1016/j.neuroimage.2013.05.094
Article CAS PubMed Google Scholar
Kellmeyer, P. (2018). Big Brain Data: On the responsible use of brain data from clinical and consumer-directed Neurotechnological devices. Neuroethics, 14(1), 83–98. https://doi.org/10.1007/s12152-018-9371-x
Khan, S. A. (2017). A stride model based threat modelling using unified and-or fuzzy operator for computer network security. International Journal of Computing and Network Technology, 5(1), 13–20. https://doi.org/10.12785/ijcnt/050103
Marek, S., Tervo-Clemmens, B., Calabro, F. J., Montez, D. F., Kay, B. P., Hatoum, A. S., et al. (2022). Reproducible brain-wide association studies require thousands of individuals. Nature, 603(7902), 654–660. https://doi.org/10.1038/s41586-022-04492-9
Article CAS PubMed PubMed Central Google Scholar
Markiewicz, C. J., Gorgolewski, K. J., Feingold, F., Blair, R., Halchenko, Y. O., Miller, E., et al. (2021). The OpenNeuro resource for sharing of Neuroscience Data. eLife. https://doi.org/10.7554/elife.71774
Article PubMed PubMed Central Google Scholar
Neuroimaging techniques and what a brain image can tell us [Internet]. Technology Networks. Available at: https://www.technologynetworks.com/tn/articles/neuroimaging-techniques-and-what-a-brain-image-can-tell-us-363422. Accessed 05 Dec 2022.
Pacurar, E. E., Sethi, S. K., Habib, C., Laze, M. O., Martis-Laze, R., & Haacke, E. M. (2016). Database integration of protocol-specific neurological imaging datasets. NeuroImage, 124, 1220–1224. https://doi.org/10.1016/j.neuroimage.2015.04.066
Peng, G. (2018). The state of assessing data stewardship maturity – an overview. Science Journal. https://doi.org/10.5334/dsj-2018-007
Poldrack, R. A., & Gorgolewski, K. J. (2014). Making big data open: Data sharing in neuroimaging. Nature Neuroscience, 17(11), 1510–1517. https://doi.org/10.1038/nn.3818
Article CAS PubMed Google Scholar
Poline, J. B., Breeze, J. L., Ghosh, S., Gorgolewski, K., Yaroslav, O. H., Hanke, M., et al. (2012). Data sharing in neuroimaging research. Frontiers in Neuroinformatics. https://doi.org/10.3389/fninf.2012.00009
Article PubMed PubMed Central Google Scholar
Rosenbaum, S. (2010). Data governance and stewardship: Designing data stewardship entities and advancing data access. Health Services Research, 45(5p2), 1442–55. https://doi.org/10.1111/j.1475-6773.2010.01140.x
Article PubMed PubMed Central Google Scholar
Rübel, O., Dougherty, M., Prabhat, Denes, P., Conant, D., Chang, E.F., et al. (2016). Methods for specifying scientific data standards and modeling relationships with applications to neuroscience. Frontiers in Neuroinformatics. https://doi.org/10.3389/fninf.2016.00048
Article PubMed PubMed Central Google Scholar
Sumari, P., Idris, Z., & Abdullah, J.M. (2017). We must invest in applied knowledge of computational neurosciences and neuroinformatics as an important future in Malaysia: The Malaysian brain mapping project. Malaysian Journal of Medical Sciences, 24(1):1–9. https://doi.org/10.21315/mjms2017.24.1.1
Welcome to the Global Brain Consortium website. Global Brain Consortium Homepage. Available at: https://globalbrainconsortium.org/. Accessed 05 Dec 2022.
White, T., Blok, E., & Calhoun, V. D. (2020). Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed. Human Brain Mapping, 43(1), 278–291. https://doi.org/10.1002/hbm.25120
Article PubMed PubMed Central Google Scholar
Xue, G., Chen, C., Lu, Z.-L., & Dong, Q. (2010). Brain imaging techniques and their applications in decision-making research. Acta Psychologica Sinica, 42(1), 120–137. https://doi.org/10.3724/sp.j.1041.2010.00120
Zhang, J., Chen, K., Wang, D., Gao, F., Zheng, Y., & Yang, M. (2020). Editorial: Advances of neuroimaging and data analysis. Frontiers in Neurology, 11. https://doi.org/10.3389/fneur.2020.00257
Zuo, X. N., Anderson, J. S., Bellec, P., Birn, R. M., Biswal, B. B., Blautzik, J., et al. (2014). An open science resource for establishing reliability and reproducibility in functional connectomics. Scientific Data, 1, 1–13. https://doi.org/10.1038/sdata.2014.49
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