Full Citation
Title: Diffusion and adoption of research data management services
Citation Type: Journal Article
Publication Year: 2019
ISBN:
ISSN: 2514-9342
DOI: 10.1108/GKMC-05-2019-0057
NSFID:
PMCID:
PMID:
Abstract: Purpose This paper aims to identify the diffusion patterns, especially the communication channels, in the diffusion and adoption of research data management services (RDMS) among libraries. Design/methodology/approach Literature about the RDMS in individual libraries was gathered and analyzed. Data relevant to the research questions were extracted and analyzed. Findings Early adopters conduct much original research to create RDMS and they often serve as change agents in diffusing their RDMS and related innovations to other libraries. In contrast, late adopters usually learn from early adopters and use their innovations for establishing their own RDMS. Communication channels used in diffusing RDMS deviate slightly from those reported in general diffusion of innovations (DOI) theories. Research limitations/implications Gathered literature provides incomplete and uneven information for RDMS adopters. This makes it difficult to identify adopter categories and test many generalizations in DOI theories. To overcome these limitations, surveys and interviews will be conducted in the future. Originality/value Findings from this project contribute to general DOI theories because RDMS is unique compared with many other innovations. The diffusion of RDMS is a decentralized process that involves a high-degree of reinvention and it involves the generation and diffusion of many relevant innovations. The project also identified scholarly communication and inter-organization networks as new types of communication channels that are not well accounted for in existing DOI theories.
Url: https://www.emerald.com/insight/content/doi/10.1108/GKMC-05-2019-0057/full/html
User Submitted?: No
Authors: Niu, Jinfang
Periodical (Full): Global Knowledge, Memory and Communication
Issue: 3
Volume: 69
Pages: 117-133
Data Collections: IPUMS Terra
Topics: Other, Population Data Science
Countries: