Production and data management issues for digital questionnaire administration

2005 ◽  
Vol 44 (5) ◽  
pp. 33-39 ◽  
Author(s):  
Patricia L. Hardré ◽  
Kui Xie ◽  
Calvin Ly
Keyword(s):  
Data Management ◽  
Questionnaire Administration ◽  
Management Issues

Data Management Issues in Information Systems

1995 ◽  
Vol 6 (4) ◽  
pp. 3-13
Author(s):  
Carl Stephen Guynes ◽  
Michael T. Vanecek
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Management Issues

scholarly journals Healthcare data management issues and the eCert solution

2011 ◽  
Author(s):  
Lisha Chen-Wilson ◽  
Xin Wang ◽  
Gary B Wills ◽  
David Argles ◽  
Charles Shoniregun
Keyword(s):  
Data Management ◽  
Healthcare Data ◽  
Management Issues

Clustering Web Information Services

2007 ◽  
pp. 34-55 ◽  
Author(s):  
Athena Vakali ◽  
George Pallis ◽  
Lefteris Angelis
Keyword(s):  
Data Mining ◽  
Data Management ◽  
Information Sources ◽  
Theoretical Background ◽  
Information Services ◽  
Information Availability ◽  
Web Information ◽  
Information Circulation ◽  
The Web ◽  
Management Issues

The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and Web sources grows significantly everyday, crucial data management issues, such as clustering on the Web, should be addressed and analyzed. Clustering has been proposed towards improving both the information availability and the Web users’ personalization. Clusters on the Web are either users’ sessions or Web information sources, which are managed in a variation of applications and implementations testbeds. This chapter focuses on the topic of clustering information over the Web, in an effort to overview and survey on the theoretical background and the adopted practices of most popular emerging and challenging clustering research efforts. An up-to-date survey of the existing clustering schemes is given, to be of use for both researchers and practitioners interested in the area of Web data mining.

scholarly journals Librarians and scientists partner to address data management

2016 ◽  
Vol 32 (3) ◽  
pp. 142-152 ◽  
Author(s):  
Andrea Medina-Smith ◽  
Kimberly A. Tryka ◽  
Barbara Silcox ◽  
Robert J. Hanisch
Keyword(s):  
Data Management ◽  
Design Methodology ◽  
Strategic Decisions ◽  
Service Model ◽  
Content Type ◽  
Address Data ◽  
Close Relationship ◽  
High Level ◽  
The Relationship ◽  
Management Issues

Purpose This study aims to look at the changing way in which the Information Services Office (ISO) at the National Institute of Standards and Technology (NIST) provides services to NIST scientific and technical staff throughout their research and publishing cycles. These services include the more traditional services of a research library and publishing NIST technical reports and The Journal of Research of NIST and preserving and exhibiting scientific instruments and other artifacts. ISO has always prided itself on having a close relationship with its customers, providing a high level of service and developing new services to stay in front of NIST researcher needs. Through a concerted, strategic effort since the late 1990s, ISO has developed and promoted relationships with its key customers through its Lab Liaison Program. Design/methodology/approach This paper discusses the relationship ISO has developed with the Office of Data and Informatics (ODI), how this relationship was forged and how this collaboration will serve as a model for working with the other labs and programs at NIST. It will also discuss the risks and opportunities of this new collaborative service model, how ISO positioned itself to become an equal partner with ODI in the exploration of solutions to data management issues and the benefits of the relationship from ODI’s perspective. Findings A pattern of strategic changes to the services and activities offered by the Lab Liaison program has put ISO in the position to collaborate as peers with researchers at NIST. Originality/value This study provides an overview of how ISO made strategic decisions to incorporate non-traditional services to support data management at NIST.

Clustering Web Information Sources

2011 ◽  
pp. 98-117
Author(s):  
Athena Vakali ◽  
Geroge Pallis ◽  
Lefteris Angelis
Keyword(s):  
Data Mining ◽  
Data Management ◽  
Information Sources ◽  
Theoretical Background ◽  
Web Data ◽  
Information Availability ◽  
Web Information ◽  
Information Circulation ◽  
The Web ◽  
Management Issues

The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and Web sources grows significantly everyday, crucial data management issues, such as clustering on the Web, should be addressed and analyzed. Clustering has been proposed towards improving both the information availability and the Web users’ personalization. Clusters on the Web are either users’ sessions or Web information sources, which are managed in a variation of applications and implementations testbeds. This chapter focuses on the topic of clustering information over the Web, in an effort to overview and survey on the theoretical background and the adopted practices of most popular emerging and challenging clustering research efforts. An up-to-date survey of the existing clustering schemes is given, to be of use for both researchers and practitioners interested in the area of Web data mining.

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