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Resolving complex research data management issues in biomedical laboratories: Qualitative study of an industry-academia collaboration.

Abstract：

:This paper describes a distributed collaborative effort between industry and academia to systematize data management in an academic biomedical laboratory. Heterogeneous and voluminous nature of research data created in biomedical laboratories make information management difficult and research unproductive. One such collaborative effort was evaluated over a period of four years using data collection methods including ethnographic observations, semi-structured interviews, web-based surveys, progress reports, conference call summaries, and face-to-face group discussions. Data were analyzed using qualitative methods of data analysis to (1) characterize specific problems faced by biomedical researchers with traditional information management practices, (2) identify intervention areas to introduce a new research information management system called Labmatrix, and finally to (3) evaluate and delineate important general collaboration (intervention) characteristics that can optimize outcomes of an implementation process in biomedical laboratories. Results emphasize the importance of end user perseverance, human-centric interoperability evaluation, and demonstration of return on investment of effort and time of laboratory members and industry personnel for success of implementation process. In addition, there is an intrinsic learning component associated with the implementation process of an information management system. Technology transfer experience in a complex environment such as the biomedical laboratory can be eased with use of information systems that support human and cognitive interoperability. Such informatics features can also contribute to successful collaboration and hopefully to scientific productivity.

journal_name

Comput Methods Programs Biomed

journal_title

Computer methods and programs in biomedicine

authors

Myneni S,Patel VL,Bova GS,Wang J,Ackerman CF,Berlinicke CA,Chen SH,Lindvall M,Zack DJ

doi

10.1016/j.cmpb.2015.11.001

subject

Has Abstract

pub_date

2016-04-01 00:00:00

pages

160-70

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(15)00294-1

journal_volume

126

pub_type

杂志文章

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Resolving complex research data management issues in biomedical laboratories: Qualitative study of an industry-academia collaboration.