Developing a theoretical framework for web credibility assessment—A case of social Q&A sites: preliminary findings

As part of a larger study, this poster reports on preliminary findings of efforts to develop a theoretical framework for assessing the credibility of information on social question-and-answer (Q&A) sites. A literature analysis was conducted to identify relevant criteria for assessing web credibility on social Q&A sites, which were then mapped to an existing framework of web credibility assessment [1]. Specifically, 21 criteria identified by the literature analysis were categorized into one of six types of web credibility assessments—operator (author) trustworthiness, operator (author) expertise, con-tent trustworthiness, content expertise, design trustworthiness, and design expertise—to develop an information platform type-specific framework of in-formation credibility. Results show that existing criteria used in the literature have focused primarily on content-related attributes (e.g., evidence-based, structural completeness, and semantic clarity and comprehensive-ness), but less on operator (author)-related attributes (e.g., credentials) or de-sign features (e.g., interactive design, appropriateness of design, ease of use). Implications of the findings and future research directions are discussed

Exploring the Development and Maintenance Practices in the Gene Ontology

The Gene Ontology (GO) is one of the most widely used and successful bio-ontologies in biomedicine and molecular biology. What is special about GO as a knowledge organization (KO) system is its collaborative development and maintenance practices, involving diverse communities in collectively developing the Ontology and controlling its quality. Guided by Activity Theory and a theoretical Information Quality Assessment Framework, this study conducts qualitative content analysis of GO’s curation discussions. The study found that GO has developed various tools and mechanisms to gain expert feedback and engage various communities in developing and maintaining the Ontology in an efficient and less expensive way. The findings of this study can inform KO system designers, curators, and ontologists in establishing functional requirements and quality assurance infrastructure for bioontologies and formulating best practices for ontology development

A New Framework for Web Credibility Assessment

This poster reports on a study that used a literature analysis to develop a new, extended conceptual framework for Web credibility assessment. The proposed a framework, named new framework for Web credibility assessment conceptualizes the relationship among the key dimensions of credibility (i.e., trustworthiness and expertise), related measures, and objects of those measures (i.e., source, message, and media) that have been identified in the literature. The framework will be tested through empirical data. In particular, an online survey questionnaire will be developed in accordance with the new framework and distributed to college students for data collection. The outcomes of this study will include the new framework and survey questionnaire that could be used as reusable knowledge resources in development of credibility assessment models in different online contexts.ye

Practices of research data curation in institutional repositories: A qualitative view from repository staff

The importance of managing research data has been emphasized by the government, funding agencies, and scholarly communities. Increased access to research data increases the impact and efficiency of scientific activities and funding. Thus, many research institutions have established or plan to establish research data curation services as part of their Institutional Repositories (IRs). However, in order to design effective research data curation services in IRs, and to build active research data providers and user communities around those IRs, it is essential to study current data curation practices and provide rich descriptions of the sociotechnical factors and relationships shaping those practices. Based on 13 interviews with 15 IR staff members from 13 large research universities in the United States, this paper provides a rich, qualitative description of research data curation and use practices in IRs. In particular, the paper identifies data curation and use activities in IRs, as well as their structures, roles played, skills needed, contradictions and problems present, solutions sought, and workarounds applied. The paper can inform the development of best practice guides, infrastructure and service templates, as well as education in research data curation in Library and Information Science (LIS) schools

Zonder enig voorbehoud

Researchers’ participation in online RIMSs This article examined how researchers participated in research information management systems (RIMSs), their motivations for participation, and their priorities for those motivations. Profile maintenance, question-answering, and endorsement activities were used to define three cumulatively increasing levels of participation: Readers, Record Managers, and Community Members. Junior researchers were more engaged in RIMSs than were senior researchers. Postdocs had significantly higher odds of endorsing other researchers for skills and being categorized as Community Members than did full and associate professors. Assistant professors were significantly more likely to be Record Managers than were members of any other seniority categories. Finally, researchers from the life sciences showed a significantly higher propensity for being Community Members than Readers and Record Managers when compared with researchers from engineering and the physical sciences, respectively. Researchers’ motivations to participate in RIMSs When performing activities, researchers were motivated by the desire to share scholarship, feel competent, experience a sense of enjoyment, improve their status, and build ties with other members of the community. Moreover, when researchers performed activities that directly benefited other members of a RIMS, they assigned higher priorities to intrinsic motivations, such as perceived self-efficacy, enjoyment, and building community ties. Researchers at different stages of their academic careers and disciplines ranked some of the motivations for engaging with RIMSs differently. The general model of research participation in RIMSs; the relationships among RIMS activities; the motivation scales for activities; and the activity, seniority, and discipline-specific priorities for the motivations developed by this study provide the foundation for a framework for researcher participation in RIMSs. This framework can be used by RIMSs and institutional repositories to develop tools and design mechanisms to increase researchers’ engagement in RIMSs.This research is supported by an OCLC/ALISE Library and Information Research Grant for 2016 and a National Leadership Grant from the Institute of Museum and Library Services (IMLS) of the U.S. Government (grant number LG-73-16-0006-16). This article reflects the findings and conclusions of the authors, and does not necessarily reflect the views of IMLS, OCLC, and ALISE

Practices of Metadata Use in Research Information Management Systems

This poster reports on a study that examines the practices of metadata use in a research information management (RIM) system ResearchGate. Understanding these practices can help institutional repositories to better align their RIM metadata models with researchers’ needs and priorities. The study identified three categories of RIM system users. The study’s preliminary findings suggest that community members are more willing to share their personal information and provide full-texts of their works on ResearchGate compared to readers and personal record managers.This research is supported by an OCLC/ALISE Library and Information Research Grant for 2016 and a National Leadership Grant from the IMLS of the U.S. Government (grant # LG-73-16-0006-16)

Towards a metadata model for research information management systems

This research is supported by an OCLC/ALISE Library and Information Research Grant for 2016 and a National Leadership Grant from the Institute of Museum and Library Services (IMLS) of the U.S. Government (grant # LG-73-16-0006-16). This article reflects the findings and conclusions of the authors, and does not necessarily reflect the views of IMLS, OCLC, and ALISE

Developing a data identifier taxonomy

As the amount of research data management is growing, the use of identity metadata for discovering, linking and citing research data is growing too. To support the awareness of different identifier systems and comparison and selection of identifier for a particular data management environment, there is need for a knowledge base. This paper contributes towards that goal and analyzes the data management and related literatures to develop a data identifier taxonomy. The taxonomy includes four categories (domain, entity types, activities, and quality dimensions). In addition, the paper describes 14 identifiers referenced in the literature and analyzes them along the taxonomy

Towards Researcher Participation in Research Information Systems

This poster presents an ongoing collaborative study supported by OCLC/ALISE LIS Research Grant. This mainly includes description and research design of this study. The project explores researcher participation in research identity management systems (e.g., Google Scholar, ResearchGate, ORCID). It will especially discuss about knowledge base of how to design reliable, efficient and scalable solutions for the systems, motivate researchers to participate in the systems, and contribute to the system development in digital library settings. Accurate research identity identification and determination are essential for effective grouping, linking, aggregation, and retrieval of digital scholarship; evaluation of the research productivity and impact of individuals, groups, and institutions; and identification of expertise and skills. There are many different research identity management systems from publishers, libraries, universities, search engines and content aggregators with different data models, coverage and quality. Although knowledge curation by professionals usually produces the highest quality results, it may not be scalable because of its high cost. The literature on online communities shows that successful peer curation communities which are able to attract and retain enough participants can provide scalable knowledge curation solutions of a quality that is comparable to the quality of professionally curated content. Hence, the success of online research identity management systems may depend on the number of contributors and users they are able to recruit, motivate, and engage in research identity data curation. The outcomes of this exploratory research will include but not be limited to a qualitative theory of research identity data and information practices of researchers, quantitative model(s) of researchers’ priorities for different online research identity data and services, the factors that may affect their participation in and commitment to online research identity management systems, and their motivations to engage in research identity data curation. The study’s findings can greatly enhance our knowledge of the design of research identity data/metadata models, services, quality assurance activities, and, mechanisms for recruiting and retaining researchers for provision and maintenance of identity data.Institute of Museum and Library Services; OCLC; Association for Library & Information Science Educatio