Examples of using Distributed data collection in English and their translations into Tamil
{-}
-
Ecclesiastic
-
Colloquial
-
Computer
Distributed data collection(section 5.4).
Purdam(2014) describes a distributed data collection about begging in London.
Distributed data collection(section 5.4).
Bit By Bit- Creating mass collaboration- 5.4 Distributed data collection.
Table 5.3: Examples of distributed data collection projects in social research.
Combinations with other parts of speech
Usage with nouns
Redundancy is an important way to assess the quality of distributed data collection.
Purdam(2014) described a distributed data collection about begging in London.
Redundancy is an important way to assess the quality of distributed data collection.
As eBird demonstrates, distributed data collection can be used for scientific research.
Finally, one could argue that Peer-to-Patent is an example of distributed data collection.
Distributed data collection is possible, and in the future it will likely involve technology and passive participation.
PhotoCity solves the data quality and sampling problems in distributed data collection. .
Further, it shows that distributed data collection projects are not limited to tasks that people are already doing anyway, such as watching birds.
In fact,much of quantitative social science already relies on distributed data collection using paid staff.
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.
In order to further build your intuition,table 5.3 shows other examples of distributed data collection for social research.
Further, it shows that distributed data collection projects are not limited to tasks that people are already doing anyway, such as watching birds.
In order to further build your intuition, table 5.3 shows other examples of distributed data collection for social research.
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.
In addition to creating human computation and open calls,researchers can also create a distributed data collection project.
In fact,much of quantitative social science already relies on distributed data collection in the form of surveys administered by employees.
Overall, the PhotoCity project shows that sampling anddata quality are not insurmountable problems in distributed data collection.
The design of PhotoCity solved two problems that often arise in distributed data collection: data validation and sampling.
EBird researchers have two main solutions to these data quality issues,issues that arise in many other distributed data collection projects.
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.
As it was in PhotoCity, the use of redundancy is an important principle for assessing and ensuring data quality in distributed data collection projects.
In addition to creating human computation and open call projects,researchers can also create distributed data collection projects.
However, eBird, and related projects, indicate that challenges related to sampling and data quality are concerns for distributed data collection projects.
However, eBird, and related projects, indicatethat challenges related to sampling and data quality are concerns for distributed data collection projects.
In particular, I think it is helpful to roughly distinguish between three types of projects: human computation,open call, and distributed data collection(figure 5.1).
