Talk:Small data

	This article is within the scope of WikiProject Databases, a project which is currently considered to be inactive.DatabasesWikipedia:WikiProject DatabasesTemplate:WikiProject DatabasesDatabases articles
C	This article has been rated as C-class on Wikipedia's content assessment scale.

Untitled[edit]

Suggestion: I suggest to introduce more than one use of small data. Small data appear as a concept in statistics - the most obvious is small sample sizes, but also other issues related to the representativenes of samples that possibly can violate statistical inference. There are also issues with small data in Bayesian inference. The law of small numbers could be associated with the concept of small data. Small data is also used in risk assessment and decision making - where data often is sparse and data is used in combination or is replaced by expert opinion to be able to reach a conclusion. USahlin (talk) 09:28, 16 August 2016 (UTC)[reply]

I realize this is just a stub, but it's basically a promo for an effort to create momentum behind a proprietary idea. All the citations are teh same person or consulting firm, so I don't count this as legit for Wikipedia - yet.

Confusion: One consideration is that 'small data' sounds like 'little data' but these are exactly opposing ideas. See <Treviranus., J., 'The Value of the Statistically-Insignificant' at http://www.educause.edu/ero/article/value-statistically-insignificant> who argues for less emphasis on using 'big data' to guide governance and policy (in her case, in the domain of education) whereas the stub on 'small data' is referring to GREATER use of big data by making it more 'accessible'.

Should BOTH of these be subtopics of 'big data', which, it seems to me is a topic that goes well beyond the discourse of single authors? Johnwillis416 (talk) 22:22, 14 April 2014 (UTC)[reply]

Suggested edit to Small Data[edit]

I did some edits to make the article more readable.

I own www.shigroupchina.com and suggest we add.

3.2 Some recruiters do more than find candidates, they develop systems and processes to gather small data that is indicative of talent that can be trusted. This is objective data in candidate's work history that is obtained with permission. The whole package of small data can determine whether to hire. (Welcome to make this entry more neutral.) ^[1]

Jimnelson2025 (talk) 06:00, 11 October 2016 (UTC)[reply]

You have a 3.1 in marketing and adding a 3.2 in recruiting makes this a clearly better topic as it is broader. I think someone should add it and some other examples. I cannot add recruiting as own and write blog.shigroupchina.com

Jimnelson2025 (talk) 02:57, 20 October 2016 (UTC)[reply]

References

^ http://blog.shigroupchina.com/2015/09/17/data-in-hiring-small-data-over-big-data

[1] ttp://blog.shigroupchina.com/2015/09/17/data-in-hiring-small-data-over-big-data

[1]