229 research outputs found
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
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
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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
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
A matter of words: NLP for quality evaluation of Wikipedia medical articles
Automatic quality evaluation of Web information is a task with many fields of
applications and of great relevance, especially in critical domains like the
medical one. We move from the intuition that the quality of content of medical
Web documents is affected by features related with the specific domain. First,
the usage of a specific vocabulary (Domain Informativeness); then, the adoption
of specific codes (like those used in the infoboxes of Wikipedia articles) and
the type of document (e.g., historical and technical ones). In this paper, we
propose to leverage specific domain features to improve the results of the
evaluation of Wikipedia medical articles. In particular, we evaluate the
articles adopting an "actionable" model, whose features are related to the
content of the articles, so that the model can also directly suggest strategies
for improving a given article quality. We rely on Natural Language Processing
(NLP) and dictionaries-based techniques in order to extract the bio-medical
concepts in a text. We prove the effectiveness of our approach by classifying
the medical articles of the Wikipedia Medicine Portal, which have been
previously manually labeled by the Wiki Project team. The results of our
experiments confirm that, by considering domain-oriented features, it is
possible to obtain sensible improvements with respect to existing solutions,
mainly for those articles that other approaches have less correctly classified.
Other than being interesting by their own, the results call for further
research in the area of domain specific features suitable for Web data quality
assessment
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
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