Factors influencing data sharing practices, perceptions and motivations for improved accessibility of agricultural research data in Tanzania
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
HSOA Journal of Environmental Science Current Research
Abstract
Accurate and reliable information on the data sharing practices
and what motivates researchers to share their data is important in
making data accessible for use/reuse. The purpose of this paper is
to report a study that investigated factors influencing data-sharing
practices, perceptions, and motivations for enhanced accessibility
of agricultural research data among agricultural researchers in Tan-
zania. This research employed a cross-sectional survey method to
examine data-sharing practices in agricultural research institutions
and examined factors motivating researchers in their data-sharing.
The sample size included 227 while from this sample size, some 204
respondents participated in the study. The findings have revealed
that more than 80% of the researchers shared their data with proj-
ect funders, research institutions, and with departmental colleagues.
The findings also indicate that many researchers (60%) shared their
data with the public through media, institutional libraries, and online
publications. The findings reveal that both individual and institution- al factors influence researchers in data sharing. However, some of
the factors were statistically significant at 5%; these are perceived
community benefit, perceived ability to share, data sharing norms,
perceived risk, and funding agency policies. In addition, the findings
indicate that agricultural researchers face several challenges in their
data sharing, including a lack of data sharing policy that could en-
hance data sharing in research institutions. This study has practical
implications for promoting more reliable, and beneficial data sharing
in the agricultural scientific community. The findings of this research
can facilitate the establishment of a data-sharing policy and data
repositories that could improve easy data sharing. The present study
has significant theoretical contributions: the TPB model has been
used in this study to explain the factors motivating researchers in
their data-sharing behavior.
Description
Review Article
Keywords
Agricultural Research, Agriculture Research Data, Data Sharing, Research Data
Citation
Mwinami NV, et al., J Environ Sci Curr Res 2023, 6: 045 DOI: 10.24966/ESCR-5020/100045