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Handling metadata for statistical an...

Chen, Yiwen.

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Handling metadata for statistical and other databases.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handling metadata for statistical and other databases./
作者:	Chen, Yiwen.
面頁冊數:	97 p.
附註:	Source: Masters Abstracts International, Volume: 45-05, page: 2654.
Contained By:	Masters Abstracts International45-05.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR25752
ISBN:	9780494257524

Handling metadata for statistical and other databases.
Chen, Yiwen.

Handling metadata for statistical and other databases. - 97 p.

Source: Masters Abstracts International, Volume: 45-05, page: 2654.

Thesis (M.Sc.)--University of Ottawa (Canada), 2006.

Metadata, data about data, provides information on various facets of our data. It facilitates survey design as well as data discovery, analysis and retrieval. Given the many requirements to incorporate and deal with metadata in statistical applications, metadata tools in commonly used statistical software would be very useful. R presents an opportunity for this. However, the common problems of metadata such as metadata capture and the diversity of difficulties of adding functions to R under Windows bring a big challenge for incorporating metadata functions into R.

ISBN: 9780494257524Subjects--Topical Terms:

1018128
Engineering, System Science.

Handling metadata for statistical and other databases.
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520 $a Metadata, data about data, provides information on various facets of our data. It facilitates survey design as well as data discovery, analysis and retrieval. Given the many requirements to incorporate and deal with metadata in statistical applications, metadata tools in commonly used statistical software would be very useful. R presents an opportunity for this. However, the common problems of metadata such as metadata capture and the diversity of difficulties of adding functions to R under Windows bring a big challenge for incorporating metadata functions into R.
520 $a This thesis aims to present the possibility for handling metadata in the statistical system, R. It provides an R package with functions to facilitate metadata management. Taking the advantage of the metadata levels and templates defined in the thesis, the functions attempt to implement (semi-) automatic metadata capture and updating. In addition, the functions provide the examples of programming with R especially for the novice. Furthermore, this thesis supplies a guideline of the future work, that is, a road map for the development of R metadata tools.
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