Collecting Massive Data via Crowdsourcing

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" summary

Crowdsourcing is used to collect production-grade datasets: International Barcode of Life builds a mobile app to submit plant and insect specimens with the goal of 500,000 species by end of 2015; ProteomicsDB aggregates mass‑spectrometry protein and peptide IDs mapping to over 18,000 human genes (~90% coverage) from more than 11,000 datasets for real‑time analysis; examples include QuakeCatcher using device accelerometers, Safecast radiation readings, and WhaleSpotter whale sightings, each turning cheap sensors and apps into analyzable data at scale.

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" chapters (6)

1. 0:00Start
2. 0:04Making Data Real
3. 0:30Crowd Sourcing for Funding
4. 1:02Crowd Sourcing the Data
5. 2:32The Human Face of Big Data
6. 2:52Quake Capture

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