File:Fig4 Fairchild FrontPubHealth2018 6.jpg
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Summary
| Description |
Figure 4. Sample epidemiological case count data in a simple JSON format. Compared to CSV (demonstrated in Figure 3), JSON contains more structure that can more rigorously specify data relationships (including hierarchical relationships). Note that this is not EpiJSON; EpiJSON can be quite verbose (due to, for example, metadata specifications and GeoJSON-specified locations), and the authors felt a complete EpiJSON example would take up an unreasonable amount of space in this paper. As in Figure 3, this time series does not contain real data and only exists for demonstration purposes. |
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| Source |
Fairchild, G.; Tasseff, B.; Khalsa, H.; Generous, N.; Daughton, A.R.; Velappan, N.; Priedhorsky, R.; Deshpande, A. (2018). "Epidemiological data challenges: Planning for a more robust future through data standards". Frontiers in Public Health 6: 336. doi:10.3389/fpubh.2018.00336. |
| Date |
2018 |
| Author |
Fairchild, G.; Tasseff, B.; Khalsa, H.; Generous, N.; Daughton, A.R.; Velappan, N.; Priedhorsky, R.; Deshpande, A. |
| Permission (Reusing this file) |
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| Other versions |
Licensing
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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| current | 20:17, 27 April 2020 | | 384 × 564 (88 KB) | Shawndouglas (talk | contribs) |
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