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Rethinking the Scientific Database: ...
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Krieglstein, Daniel.
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Rethinking the Scientific Database: Exploring the Feasibility of Building a New Scientific Abstract Database.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Rethinking the Scientific Database: Exploring the Feasibility of Building a New Scientific Abstract Database./
作者:
Krieglstein, Daniel.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
167 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-04, Section: B.
Contained By:
Dissertations Abstracts International80-04B.
標題:
Information Technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10827846
ISBN:
9780438460720
Rethinking the Scientific Database: Exploring the Feasibility of Building a New Scientific Abstract Database.
Krieglstein, Daniel.
Rethinking the Scientific Database: Exploring the Feasibility of Building a New Scientific Abstract Database.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 167 p.
Source: Dissertations Abstracts International, Volume: 80-04, Section: B.
Thesis (Ph.D.)--Illinois Institute of Technology, 2018.
This item must not be sold to any third party vendors.
Abstract databases are essential for literature reviews, and in turn for the scientific process. Research into user interface designs and their impact on scientific article discovery is limited. The following study details the process of building a new abstract database and explores several user interface design elements that should be tested in the future. The initial goal of this study was to test the feasibility of building a new abstract database. Using Crossref metadata, we concluded that the cost to produce parsing code for the entire data set proved prohibitive for a volunteer team. The legal, production, and design elements necessary to build a new abstract database are discussed in detail. This study should serve as a baseline for future abstract database testing.
ISBN: 9780438460720Subjects--Topical Terms:
1030799
Information Technology.
Rethinking the Scientific Database: Exploring the Feasibility of Building a New Scientific Abstract Database.
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