Examples of using Distributed data collection in English and their translations into Marathi
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Purdam(2014) described a distributed data collection about begging in London.
Redundancy is an important way to assess the quality of distributed data collection.
Table 5.3: Examples of distributed data collection projects in social research.
Finally, one could argue that Peer-to-Patent is an example of distributed data collection.
As eBird demonstrates, distributed data collection can be used for scientific research.
Combinations with other parts of speech
Usage with nouns
Finally, one could argue that Peer-to-Patent is an example of distributed data collection.
In distributed data collection projects, researchers enable participants to contribute new measurements of the world.
In fact,much of quantitative social science already relies on distributed data collection using paid staff.
Distributed data collection is possible, and in the future will likely involve technology and passive participation.
In addition to creating human computation and open calls,researchers can also create a distributed data collection project.
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.
Distributed data collection is possible, and in the future it will likely involve technology and passive participation.
In addition to creating human computation and open call projects,researchers can also create distributed data collection projects.
Further, it shows that distributed data collection projects are not limited to tasks that people are already doing anyway, such as watching birds.
Both Purdam(2014) and Windt and Humphreys(2016)have some discussion about the ethical issues in distributed data collection. .
In fact,much of quantitative social science already relies on distributed data collection in the form of surveys administered by employees.
However, eBird, and related projects, indicatethat challenges related to sampling and data quality are concerns for distributed data collection projects.
In fact, for certain research questions, distributed data collection is better than anything that would realistically be possible with paid data collectors.
I choose to include it as an open call because it has a contest-like structure andonly the best contributions are used(whereas with distributed data collection, the idea of good and bad contributions is less clear).
In human computation and distributed data collection projects, on the other hand, the best form of quality control comes through redundancy, not a high bar for participation.
I choose to include it as an open call because it has a contest-like structure andonly the best contributions are used, whereas with distributed data collection, the idea of good and bad contributions is less clear.
In fact, for certain research questions, distributed data collection is better than anything that would realistically be possible with paid data collectors.
EBird is a distributed data collection project that solicits information from birders around the world, and it has already received over 260 million bird sightings from 250,000 participants(Kelling et al. 2015).
However, eBird, and related projects,indicate that challenges related to sampling and data quality are concerns for distributed data collection projects. As we will see in the next section, however, with clever design and technology, these concerns can be minimized in some settings.
Further, it shows that distributed data collection projects are not limited to tasks that people are already doing anyway, such as watching birds. With the right design, volunteers can be encouraged to do other things too.
As the examples below- from ornithology and computer science- show distributed data collection enables researchers to collect data more frequently and in more places than were possible previously.
In human computation and distributed data collection projects, moreover, the best form of quality control comes through redundancy, not through a high bar for participation.
Going forward, I suspect that many distributed data collection projects will begin to make use of capabilities of the mobile phones that are already carried by billions of people around the world.
As the examples below- from ornithology and computer science- show, distributed data collection enables researchers to collect data more frequently and in more places than were possible previously. Further, given appropriate protocols, these data can be reliable enough to be used for scientific research.