Crowdsourced Data Analysis

Crowdsourcing is one of the most significant and controversial developments in Web 2.0 (Hakley, M., 2009). Crowdsourcing pulls data from many sources such as social media, personal geographic data, or surveys (Goranson, C, et al and Sui D. Z. et al, 2011). The new use of crowdsourced data, the rise of social networking, and use of GIS has transformed rapid responses to political unrest and natural disasters has shaped how data privacy and ethical uses of data is used (Raymond, N, et al, 2012). With the use of volunteered geographic information, the privacy of individual, locational, and groups of data is under scrutiny such that the data is being collected, also known as data scooping, based on personal or industrial motives (e.g., google street view) (Streitfield, D. et al, 2012). Along with privacy of data collection, the ethics of collecting data and information requires to have standards and safety of people due to that data that is collected can be used against them (e.g. terrorism or …show more content…
This can lead to privacy issues such that as technology grows and harnessing larger datasets that has spatial data, new data sources can further exploit personal information (Goranson, C. et al, 2013). To manage data that is collected for research, crisis mapping, or other purposes should be configured using the model of data stewardship. According to Hartter, J. et al, 2013, data stewardship is done by effectively and efficiently to record, curate, and be able to facilitate large volumes of data which is needed for good data management. Good data management is needed for ethical practices such that data that is collected needs to followed using a set of guidelines and standards set by the IRB (Goranson, C. at al,