SUPPORTING MULTI-SYNCHRONOUS GROUPWARE: DATA MANAGEMENT PROBLEMS AND A SOLUTION

2006 ◽  
Vol 15 (02) ◽  
pp. 229-258 ◽  
Author(s):  
NUNO PREGUIÇA ◽  
J. LEGATHEAUX MARTINS ◽  
HENRIQUE JOÃO DOMINGOS ◽  
SÉRGIO DUARTE

It is common that, in a long-term asynchronous collaborative activity, groups of users engage in occasional synchronous sessions. In this paper, we analyze the data management requirements for supporting this common work practice in typical collaborative activities and applications. We call the applications that support such work practice multi-synchronous applications. This analysis shows that, as users interact in different ways in each setting, some applications have different requirements and need to rely on different data sharing techniques in synchronous and asynchronous settings. We present a data management system that allows to integrate a synchronous session in the context of a long-term asynchronous interaction, using the suitable data sharing techniques in each setting and an automatic mechanism to convert the long sequence of small updates produced in a synchronous session into a large asynchronous contribution. We exemplify the use of our approach with two multi-synchronous applications.

Author(s):  
Mei Chen ◽  
Jingxin Xia ◽  
Rongfang (Rachel) Liu

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.


1998 ◽  
Vol 87 (4) ◽  
pp. 837-842
Author(s):  
Jay D. McNitt ◽  
Eugene T. Bode ◽  
Richard E. Nelson

1998 ◽  
Vol 87 (4) ◽  
pp. 837-842 ◽  
Author(s):  
Jay D. McNitt ◽  
Eugene T. Bode ◽  
Richard E. Nelson

1981 ◽  
Vol 3 (3) ◽  
pp. 129-136 ◽  
Author(s):  
T. Ravenscroft ◽  
D.E. Smith

The paper describes the design and implementation of a clinical trial data management system at the Wellcome Research Laboratories. Based on an IBM 3031 computer, the system provides the capability for on-line data input, search ing and comprehensive data analysis. The database also performs an adverse reaction reporting function and provides for long term follow-up of patients.


2015 ◽  
Vol 39 (4) ◽  
pp. 840-841
Author(s):  
Victoria M. Hunt ◽  
Sarah K. Jacobi ◽  
Melinda G. Knutson ◽  
Eric V. Lonsdorf ◽  
Shawn Papon ◽  
...  

2020 ◽  
Vol 40 (03) ◽  
pp. 139-146 ◽  
Author(s):  
Anjana R Bunkar ◽  
Dhaval D. Bhatt

Research data management is a system that helps in archiving and retrieving of research data to reuse and preserving them for long term use. Many universities in developed countries have already started providing RDM services to their researchers and academicians. In India, it is still in the initial stage. The purpose of the present study is to investigate the perceptions of researchers and academicians of Parul University on research data management and research data sharing. It also explores the ways the researchers preserved their research data for future use. It also explores the ways the library can take initiatives to encourage and extend support to the researchers and academicians to the organisation, preservation, and sharing of research data. To investigate and study the problem 100 questionnaires were distributed. There are 88 responses we received out of 100. The study revealed that the majority of respondents were agreeing about the research data sharing and free accessibility of research data to browse and reuse. Researchers are very much interested and agreed in the library’s involvement in organizing and preservation of research data. Researchers and faculty members are more concerned about their intellectual property rights while sharing the data on the public domain.


2017 ◽  
Vol 140 ◽  
pp. 29-44 ◽  
Author(s):  
Kristin Lacy-Jones ◽  
Philip Hayward ◽  
Steve Andrews ◽  
Ian Gledhill ◽  
Mark McAllister ◽  
...  

2015 ◽  
Vol 39 (3) ◽  
pp. 464-471 ◽  
Author(s):  
Victoria M. Hunt ◽  
Sarah K. Jacobi ◽  
Melinda G. Knutson ◽  
Eric V. Lonsdorf ◽  
Shawn Papon ◽  
...  

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