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The purpose of this paper is to quantitatively examine factors of trust in data reuse from the reusers’ perspectives.

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.

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.

Further disciplinary specific examinations should be conducted to complement the study findings and fully generalize the study findings.

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.

By analyzing theoretical concepts in empirical research and validating the factors of trust, this study fills this gap in the data reuse literature.

The purpose of this paper is to understand the social impact of data on communities from cases of community data utilization.

This study took an interpretive qualitative approach and conducted a semi-structured phone interview with 45 participants from data intermediaries and local community organizations.

The results demonstrate both direct and indirect impacts of data on local levels, including resolving local problems from data-driven decisions, realizing unknown problems or correcting misrepresented problems, changing community data practices, strengthening community identity and enhancing the community’s data skills.

The research shows that communities’ data utilization supported community-led actions and initiatives from the bottom-up perspective, which demonstrates the need for supporting communities’ data work.

Minimizing inequality in data utilization should be resolved so that all communities can benefit from the power of data.

By demonstrating evidence of data being critical to encouraging communities’ data utilization, this study fills the gap in existing research, which lacks a clear explanation for how the potential of data can be realized at the local level.

The purpose of this paper is to understand the landscape of data curation services among public and academic libraries in the USA, with a focus on library capacity for providing data curation services.

The authors conducted an online survey by employing stratified sampling from the American Library Directory. A total of 198 responses were analyzed.

The authors’ findings provide insight into the current landscape of libraries’ data curation services. The survey participants evaluated six capacity dimensions for both public and academic libraries – value, financial, administrative, technical infrastructure, human resources and network. The ratings the participants gave to these capacity dimensions were significantly different between academic and public libraries.

This study suggests several areas in which libraries will benefit from further developing their capacity to successfully run data curation services.

This is among the first research study to address the concept of capacity in the context of libraries’ data curation services.

The purpose of this paper is to investigate how scientists’ prior data-reuse experience affects their data-sharing intention by updating diverse attitudinal, control and normative beliefs about data sharing.

This paper used a survey method and the research model was evaluated by applying structural equation modelling to 476 survey responses from biological scientists in the USA.

The results show that prior data-reuse experience significantly increases the perceived community and career benefits and subjective norms of data sharing and significantly decreases the perceived risk and effort involved in data sharing. The perceived community benefits and subjective norms of data sharing positively influence scientists’ data-sharing intention, whereas the perceived risk and effort negatively influence scientists’ data-sharing intention.

Based on the theory of planned behaviour, the research model was developed by connecting scientists’ prior data-reuse experience and data-sharing intention mediated through diverse attitudinal, control and normative perceptions of data sharing.

This research suggests that to facilitate scientists’ data-sharing behaviours, data reuse needs to be encouraged. Data sharing and reuse are interconnected, so scientists’ data sharing can be better promoted by providing them with data-reuse experience.

This is one of the initial studies examining the relationship between data-reuse experience and data-sharing behaviour, and it considered the following mediating factors: perceived community benefit, career benefit, career risk, effort and subjective norm of data sharing. This research provides an advanced investigation of data-sharing behaviour in the relationship with data-reuse experience and suggests significant implications for fostering data-sharing behaviour.

This article explores the financial literacy resources patrons can discover and/or access on the webpages of the largest 48 US public libraries in order to assess the strength of public libraries' current support to patrons seeking assistance with personal financial matters.

The author completed a website analysis of the largest 48 US public libraries, as defined by the four sets of criteria in the American Library Association (ALA) publication. Website analysis was completed via a standardized checklist assessment covering full-site searching, catalog content, the availability of relevant guides and/or workshops, and any other relevant online resources.

Public libraries provide many resources relevant to patrons searching for personal finance topics, but some of these resources are not ideally highlighted on libraries' websites. Site search tools are generally less efficient than catalog search tools. Only half of the studied libraries have relevant online guides, but all libraries have some relevant online resources.

While there are a number of research articles exploring how public libraries support financial literacy in their communities, there has not yet been an in-depth exploration of how public libraries support this literacy, specifically through the materials highlighted and/or available via their websites. This research addresses this gap in the literature.

The purpose of this paper is to consider personal digital archiving (PDA) from an academic perspective. Although elements of research data management and personal information management are relevant, it is unclear what is available on university websites supporting PDA. The following question guided the research: where is “PDA” content housed in the top-level .edu domain and what is the format and nature of the content made available?

This descriptive study analyzed Google hits yielded by searching “PDA” within the .edu domain. Results were analyzed to determine where content was housed and its format and nature. Placement in the domain, delivery methods, topics, and the nature of the most highly ranking Uniform Resource Locators (URLs) were analyzed.

In the academy, PDA is not exclusively of interest in libraries; not quite half of the .edu URLs (45 percent) pointed to a library site. Scholarly papers were the most returned content, followed by blogs and conferences information. Closer analysis of the top 20 URLs showed that libraries are popular and papers, and blogs continue to be dominant.

The results suggest good PDA practices and recommendations are evolving. Academic librarians should examine these practices, refine them, and make them available and discoverable on the web.

This is the first paper, to the knowledge, to consider PDA content from the perspective of universities and university libraries.

The purpose of this paper is to explore the breadth of the challenges and issues facing institutional repositories in academic libraries, based on a survey of academic librarians. Particularly, this study covers the challenges and barriers related to data management facing institutional repositories.

The study uses a survey method to identify the relative significance of major challenges facing institutional repositories across six dimensions, including: data, metadata, technological requirements, user needs, ethical concerns and administrative challenges.

The results of the survey reveal that academic librarians identify limited resources, including insufficient budget and staff, as the major factor preventing the development and/or deployment of services in institutional repositories. The study also highlights crucial challenges in different dimensions of institutional repositories, including the sheer amount of data, institutional support for metadata creation and the sensitivity of data.

This study is one of a few studies that comprehensively identified the variety of challenges that institutional repositories face in operating academic libraries with a focus on data management in institutional repositories. In this study, 37 types of challenges were identified in six dimensions of institutional repositories. More importantly, the significance of those challenges was assessed from the perspective of academic librarians involved in institutional repository services.

Researchers have called for the synthesis of divergent perspectives and the development of a theoretical model that examines individuals’ donation behavior in charitable crowdfunding. To fill this research gap, the purpose of this paper is to synthesize the literature pertaining to the determinants of donation behavior in charitable crowdfunding. Then, drawing on the stimulus-organism-response framework, the authors develop and test a model that explains individuals’ intention to donate to charitable crowdfunding.

This paper follows a quantitative research approach. An online survey was distributed to collect data from individuals who had experienced charitable crowdfunding. In total, 205 valid responses were received and analyzed.

First, this study finds that individuals’ empathy and the perceived credibility of a charitable crowdfunding project are key determinants for their intention to donate in charitable crowdfunding. Second, the study finds that website quality, transaction convenience, and project content quality influence both empathy and perceived credibility in different ways. Third, it is noteworthy that initiator reputation is positively related to perceived credibility, while project popularity is positively associated with empathy.

This research advances the knowledge of individual donation behavior in charitable crowdfunding. The model can help researchers understand individuals’ philanthropic behavior by providing empirical explanations of the interplay between technological and project characteristics, emotional and cognitive states, and individuals’ donation behavior. For practitioners, the research suggests appropriate design, launch, and operation strategies to facilitate individuals’ donation behavior in charitable crowdfunding.