A Trust Framework for Online Research Data Services

Wolski, Malcolm Perry; Howard, Louise; Richardson, Joanna

doi:10.3390/publications5020014

Cited by 7 publications

(6 citation statements)

References 49 publications

(60 reference statements)

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“…While these studies contribute to the understanding of the nature of trust, as well as trust factors, few studies solely focus on understanding and identifying factors of trust in data reuse. Recently Wolski, Howard, and Richardson (2017) discussed a trust framework for online data services, but the model was theoretical and without empirical support. Built on previous studies exploring different trust factors during data reuse, this study aims to quantitively examine factors of trust in data reuse from the reusers' perspectives.…”

Section: Introductionmentioning

confidence: 99%

Factors of trust in data reuse

Yoon

Lee

2019

OIR

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Purpose The purpose of this paper is to quantitatively examine factors of trust in data reuse from the reusers’ perspectives. Design/methodology/approach This study utilized a survey method to test the proposed hypotheses and to empirically evaluate the research model, which was developed to examine the relationship each factor of trust has with reusers’ actual trust during data reuse. Findings This study found that the data producer (H1) and data quality (H3) were significant, as predicted, while scholarly community (H3) and data intermediary (H4) were not significantly related to reusers’ trust in data. Research limitations/implications Further disciplinary specific examinations should be conducted to complement the study findings and fully generalize the study findings. Practical implications The study finding presents the need for engaging data producers in the process of data curation, preferably beginning in the early stages and encouraging them to work with curation professionals to ensure data management quality. The study finding also suggests the need for re-defining the boundaries of current curation work or collaborating with other professionals who can perform data quality assessment that is related to scientific and methodological rigor. Originality/value By analyzing theoretical concepts in empirical research and validating the factors of trust, this study fills this gap in the data reuse literature.

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Section: Introductionmentioning

confidence: 99%

Factors of trust in data reuse

Yoon

Lee

2019

OIR

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“…The modularisation of models (e.g., the Aquatic Ecodynamics Modelling Library "AED2", the Ecological Regional Ocean Model "ERGOM") and multiple algorithm options supported by high frequency observations (e.g., Woolway et al, 2015) of AEMs, however, make it difficult to choose a suitable model that is fit for purpose (Janssen et al, 2015). An increase in number and diversity has also been observed for supporting tools (e.g., Wolski et al, 2017) and data (e.g., LaDeau et al 2017). Accessing and finding the right data, tools and models fit for the specific project is essential and the development of a roadmap for each of these would be of great benefit to the aquatic ecosystem modelling community.…”

Section: Model Parameterisationmentioning

confidence: 90%

“…https://www.unidata.ucar.edu/software/thredds/current/tds/TDS.html) can provide a stable data set with quality assurance /quality control (QA/QC) standards and known provenance.Automated or advanced manual QA/QC procedures (e.g., Campbell et al, 2013; 'B3,' Read et al, 2016b) linked with data assimilation techniques (Hipsey et al 2015) have the potential to greatly simplify the time consuming process of data preparation.Data sharing is often associated with building trust(Wolski et al, 2017). Therefore, it is crucial in modelling studies to give credit to the provenance of the data and to work collaboratively with those who collected the data (e.g.,Bruce et al, 2018;Frassl et al 2018b).…”

mentioning

confidence: 99%

A short review of contemporary developments in aquatic ecosystem modelling of lakes and reservoirs

Frassl

Abell²,

Botelho³

et al. 2019

Environmental Modelling & Software

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“…Existing literature stressed google scholar's ability to serve as a primary resource for a systematic review of material (Eksan, 2020). Wolski et al (2017) stated that investigating a new topic that will likely benefit from theoretical exposure requires a literature review in several situations. The author's input would stem from developing a conceptual model based on new theoretical foundations.…”

Section: Methodsmentioning

confidence: 99%

Transparency And Halal Procurement In The Hotel Industry

Shari¹

2022

The European Proceedings of Multidisciplinary Sciences

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The demand for the halal industry is increasing each year across the globe. Businesses are actively improving their understanding of halal products and practices in meeting this demand. As one of the highest contributors to the country's economic development, the hotel industry is not left to grab this opportunity. One of the broadest sections of the halal sector is food supply chains, focusing on halal risk management, halal integrity, halal logistics, and halal warehousing. However, the study on transparency in the halal supply chain is minimal, whereas the existing research mainly focuses on traceability. Even though transparency and traceability are intimately related, there is a major difference in properly executing halal procurement. This paper discusses the understanding of transparency, the impact of transparency in halal procurement, and management's role in practising transparency. This conceptual study was based on the comprehensive literature review of the most recent available research on transparency and halal procurement. The findings provide societal value by guiding the hotel industry or businesses to adequately implement the halal practices according to Shariah compliance, resulting in better overall services, thus recommending transparency practises in halal procurement policy. Further empirical research should be conducted in testing the relationship between transparency and halal procurement.

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A Trust Framework for Online Research Data Services

Cited by 7 publications

References 49 publications

Factors of trust in data reuse

Factors of trust in data reuse

A short review of contemporary developments in aquatic ecosystem modelling of lakes and reservoirs

Transparency And Halal Procurement In The Hotel Industry

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