Examples of using Distributed data collection in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
Distributed data collection(section 5.4).
Bit By Bit- Creating mass collaboration- 5.4 Distributed data collection.
As eBird demonstrates, distributed data collection can be used for scientific research.
Redundancy is an important way to assess the quality of distributed data collection.
Purdam(2014) describes a distributed data collection about begging in London.
Redundancy is an important way to assess the quality of distributed data collection.
Purdam(2014) describes a distributed data collection about begging in London.
Finally, one could argue that Peer-to-Patent is an example of distributed data collection.
In distributed data collection projects, volunteers contribute data about the world.
PhotoCity solves the data quality and sampling problems in distributed data collection.
Finally, distributed data collection projects are ideally suited for large-scale data collection. .
Both Purdam(2014) and Windt and Humphreys(2016)have some discussion about the ethical issues in distributed data collection.
Open calls and distributed data collection can also raise complex questions about consent and privacy.
Both Purdam(2014) and Windt and Humphreys(2016)have some discussion about the ethical issues in distributed data collection.
Distributed data collection is possible, and in the future it will likely involve technology and passive participation.
In fact, much of quantitative social science already relies on distributed data collection using paid staff.
In distributed data collection projects, researchers enable participants to contribute new measurements of the world.
In order to further build your intuition,table 5.3 shows other examples of distributed data collection for social research.
Further, in distributed data collection, researchers could collect data about people without their consent.
In fact, much of quantitative social science already relies on distributed data collection using paid staff.
A classic example of a distributed data collection is eBird, in which hundreds of thousands of volunteers contribute reports about birds they see.
The design of PhotoCity solved two problems that often arise in distributed data collection: data validation and sampling.
A classic example of a distributed data collection is eBird, in which hundreds of thousands of volunteers contribute reports about birds they see.
In addition to creating human computation and open call projects,researchers can also create distributed data collection projects.
Further, in distributed data collection, a scoring system can also be used to focus individuals on providing the most useful input, as was done in PhotoCity.
In addition to creating human computation and open call projects,researchers can also create distributed data collection projects.
Further, in distributed data collection, a scoring system can also be used to focus individuals on providing the most useful input, as was done in PhotoCity.
Overall, the PhotoCity project shows that sampling anddata quality are not insurmountable problems in distributed data collection.
In fact, for certain research questions, distributed data collection is better than anything that would realistically be possible with paid data collectors.
The design of PhotoCity also elegantly solves the sampling anddata quality challenges of eBird and other distributed data collection projects.