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Altmetric carries the potential of highlighting scholarly content by measuring online interactions much before other forms of traditional metrics grow up. The aim of this paper is to be the single point of access for librarians, scientists, information specialists, researchers and other scholars in public to learn to embed the open-source embeddable badge provided by Altmetric in their websites and showcase their article altmetrics. Libraries can take advantage of this free and innovative tool by incorporating it in their own websites or digital repositories.

This paper elucidates steps for embedding altimetric institutional repository badges in personal websites or institutional repositories.

This open-source Altmetric tool tracks a range of sources to catch and collect the scholarly activity and assists in monitoring and reporting the attention surrounding an author’s work in a very timely manner.

This tool is freely available to libraries worldwide.

The purpose of this paper is to describe an academic library’s successful implementation of a WordPress-based learning object repository (LOR) that facilitates widespread sharing of learning objects, allowing librarians to save prep time and to scale up the library instruction program. Both practical and technical implications of using WordPress software as a repository platform are discussed.

WordPress is free, open-source software that may be used as a platform for an LOR. By using WordPress software to create a public index of content hosted on a server, the library created an LOR that features a record for each learning object which contains metadata about the object’s format, content and accessibility. The WordPress platform/repository is also expandable, through additional free and paid plug-ins, to function as a simple learning management system that may also issue badges.

As a result of implementing an LOR, librarians save time prepping for classes by reusing or adapting their colleagues’ work, librarians are able to offer tutorials to online students and the repository also serves as a showcase for the library instruction program.

Many academic libraries are feeling increased pressure to scale up library instruction and serve more online students. This paper illustrates a case study of how one library uses an easy-to-implement and low-budget LOR to make progress toward these goals.

Facets of digital data dissemination, namely RRI Digital repository and Imprints collection, are two methods in which science communication can happen in the digital world. The purpose of this paper is to discuss the design, novelty and functionality of these facets as an archive, comprising a collage of profiles and publications of RRIians whose imprints on the sands of time have been culled and collated for posterity.

RRI Digital repository makes use of DSpace to preserve and showcase the research papers in text format, audio/video of lectures and images. Imprints collection is designed using Dreamweaver software. Images are uploaded using Jalbum.net software.

DSpace, an open source software meant for managing digital assets can be used as a platform to develop a modern genre of data dissemination. An example to this end is the Imprints collection, a bio‐bibliographic database with many valuable additions showcasing the digital scholarship of an institute with archival value.

Practical implications of both RRI digital repository and imprints collection is to act as support service to enhance the creativity and collaboration among scientists of the institute within and across different research institutes in the country and across the world. Further, ResearcherID embedded in the profile pages of scientists helps scientometricians in citation analysis.

Novelty associated with imprints collection in science communication using DSpace data is the strength of this tool. This is a unique style of digital data dissemination with supporting links between authors, their persona, their papers, lectures and photographs.

This paper aims to present recently published resources on library instruction and information literacy, providing an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2019.

The paper provides a brief description of all 370 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested as a quick and comprehensive reference to literature on library instruction and information literacy.

This study investigates differences and commonalities in data production, sharing and reuse across the widest range of disciplines yet and identifies types of improvements needed to promote data sharing and reuse.

The first authors of randomly selected publications from 2018 to 2019 in 20 Scopus disciplines were surveyed for their beliefs and experiences about data sharing and reuse.

From the 3,257 survey responses, data sharing and reuse are still increasing but not ubiquitous in any subject area and are more common among experienced researchers. Researchers with previous data reuse experience were more likely to share data than others. Types of data produced and systematic online data sharing varied substantially between subject areas. Although the use of institutional and journal-supported repositories for sharing data is increasing, personal websites are still frequently used. Combining multiple existing datasets to answer new research questions was the most common use. Proper documentation, openness and information on the usability of data continue to be important when searching for existing datasets. However, researchers in most disciplines struggled to find datasets to reuse. Researchers' feedback suggested 23 recommendations to promote data sharing and reuse, including improved data access and usability, formal data citations, new search features and cultural and policy-related disciplinary changes to increase awareness and acceptance.

This study is the first to explore data sharing and reuse practices across the full range of academic discipline types. It expands and updates previous data sharing surveys and suggests new areas of improvement in terms of policy, guidance and training programs.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2021-0423.

This study aims to investigate the factors influencing the data sharing habits of psychologists with respect to academic reciprocity.

A research model was developed based on Ostrom’s (2003) theory of collective action to map psychologists’ underlying motivations for data sharing. The model was validated by data from a survey of 427 psychologists, primarily from the psychological sciences and related disciplines.

This study found that data sharing among psychologists is driven primarily by their perceptions of community benefits, academic reciprocity and the norms of data sharing. This study also found that academic reciprocity is significantly influenced by psychologists’ perceptions of community benefits, academic reputation and the norms of data sharing. Both academic reputation and academic reciprocity are affected by psychologists’ prior experiences with data reuse. Additionally, psychologists’ perceptions of community benefits and the norms of data sharing are significantly affected by the perception of their academic reputation.

This study suggests that Ostrom’s (2003) theory of collective action can provide a new theoretical lens in understanding psychologists’ data sharing behaviours.

This study suggests several practical implications for the design and promotion of data sharing in the research community of psychology.

To the best of the authors’ knowledge, this is one of the initial studies that applied the theory of collective action to the mechanisms of reputation, community benefits, norms and reciprocity in psychologists’ data sharing behaviour. This research demonstrates that perceived community benefits, academic reputation and the norms of data sharing can all encourage academic reciprocity, and psychologists’ perceptions of community benefits, academic reciprocity and data sharing norms all facilitate their data sharing intentions.

This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.

The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.

The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.

The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.

To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.

This paper aims to present recently published resources on library instruction and information literacy providing an introductory overview and a selected annotated bibliography of publications covering all library types.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2018.

The paper provides a brief description of all 422 sources, and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians and anyone interested as a quick reference to literature on library instruction and information literacy.

This paper aims to present recently published resources on information literacy and library instruction through an extensive annotated bibliography of publications covering all library types.

This paper annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2017 in over 200 journals, magazines, books and other sources.

The paper provides a brief description for all 590 sources.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

The current environment of misinformation is causing expensive and negative consequences for society. Fake news is affecting democracy and its foundations, as well as newspapers and media companies that aim to combat this “pandemic.” In order to effectively provide accurate information, these companies are in need of a workforce with specific attitudes, skills, and knowledge (ASK). However, several studies show that students either do not have those ASK or have poorly developed them, indicating the need for better media literacy skills. Given that such skills are often not taught in school, nor is there a way for students to efficiently obtain them and tangibly show them to future employers, we propose a model ¹ that enhances the way students learn and how we measure such learning. Journalism students – enrolled in liberal arts, general studies, and humanities – have the potential to be upskilled and become the new critical thinking and fact-checking force needed to neutralize misinformation and foster a healthy society. Our model applies learning science and behavioral research on feedback and intrinsic motivation to foster students' ASK through a digital apprenticeship model that uses structured activities together with mentorship and feedback. Students participate in the creation of digital products for the journalism and news media industry. This prepares them for the types of tasks they will be required to perform in the job market. The digital apprenticeship matches students with the proper mentor, peer, and professional network. Students' work is compared against professional news media production to generate feedback, improve quality, and track progress. During the digital apprenticeship, students receive the ASK-SkillsCredit, a digital badge, which serves as a “nutritional” fact label that displays how students created the media content, the level of efficacy of the apprenticeship, and the standard of journalism quality of the piece. Lastly, we propose to enhance existing learning management systems to capture and promote a learner's profile data and expose aligned opportunities in news media outlets.