[Air-L] Recommendations for undergraduate reading on "Big Data"

[Cliff Lampe]

The AAPOR Report on Big Data is also pretty approachable, and very methods oriented as it’s intended directly for social scientists.

http://www.aapor.org/AAPORKentico/AAPOR_Main/media/Task-Force-Reports/BigDataTaskForceReport_FINAL_2_12_15.pdf <http://www.aapor.org/AAPORKentico/AAPOR_Main/media/Task-Force-Reports/BigDataTaskForceReport_FINAL_2_12_15.pdf>

Cliff Lampe

FULL DISCLOSURE: One of a bunch of authors on the report

> On Apr 10, 2015, at 9:55 AM, Craig Boman <craig.boman at gmail.com> wrote:
> 
> Good morning Mr Richter,
> 
> Apologies if you've seen this already, but perhaps the following slightly
> out-dated article may provide some more resources to use.
> http://www.forbes.com/sites/gilpress/2013/05/09/a-very-short-history-of-big-data/
> 
> All the best,
> 
> Craig Boman, MLIS, (Ph.D student)
> Applications Support Specialist
> University of Dayton Libraries
> 300 College Park
> Dayton, OH, 45469
> 
> On Fri, Apr 10, 2015 at 9:48 AM, Christopher J. Richter <
> crichter at hollins.edu> wrote:
> 
>> I am looking for a reading or readings on Big Data for my undergraduate
>> Communication Research Methods class. Unfortunately what I have found so
>> far is popularizing, vague, ambiguous, even contradictory. Ideally, the
>> reading(s) should address 1) definitions; 2) implications for social
>> science data gathering; 3) strengths and weaknesses; and 4) ethical issues,
>> but I will settle for three or even two out of the four.
>> 
>> Any suggestions are appreciated. Replies can be personal or on-list.
>> 
>> Thanks,
>> Chris Richter
>> Associate Professor
>> Hollins University
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