Browsing by Author "Murillo, Angela"

Now showing 1 - 7 of 7
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    Data matters: how earth and environmental scientists determine data relevance and reusability
    (2019-05-01) Murillo, Angela
    Abstract Purpose – The purpose of this study is to examine the information needs of earth and environmental scientists regarding how they determine data reusability and relevance. Additionally, this study provides strategies for the development of data collections and recommendations for data management and curation for information professionals working alongside researchers. Design/methodology/approach – This study uses a multi-phase mixed-method approach. The test environment is the DataONE data repository. Phase 1 includes a qualitative and quantitative content analysis of deposited data. Phase 2 consists of a quasi-experiment think-aloud study. This paper reports mainly on Phase 2. Findings – This study identifies earth and environmental scientists’ information needs to determine data reusability. The findings include a need for information regarding research methods, instruments and data descriptions when determining data reusability, as well as a restructuring of data abstracts. Additional findings include reorganizing of the data record layout and data citation information. Research limitations/implications – While this study was limited to earth and environmental science data, the findings provide feedback for scientists in other disciplines, as earth and environmental science is a highly interdisciplinary scientific domain that pulls from many disciplines, including biology, ecology and geology, and additionally there has been a significant increase in interdisciplinary research in many scientific fields. Practical implications – The practical implications include concrete feedback to data librarians, data curators and repository managers, as well as other information professionals as to the information needs of scientists reusing data. The suggestions could be implemented to improve consultative practices when working alongside scientists regarding data deposition and data creation. These suggestions could improve policies for data repositories through direct feedback from scientists. These suggestions could be implemented to improve how data repositories are created and what should be considered mandatory information and secondary information to improve the reusability of data. Social implications – By examining the information needs of earth and environmental scientists reusing data, this study provides feedback that could change current practices in data deposition, which ultimately could improve the potentiality of data reuse. Originality/value – While there has been research conducted on data sharing and reuse, this study provides more detailed granularity regarding what information is needed to determine reusability. This study sets itself apart by not focusing on social motivators and demotivators, but by focusing on information provided in a data record.
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    Does It Matter: Have BLM Protests Opened Spaces for Collective Action in LAMs?
    (Litwin Books, 2022-09-30) Ahmed, Sumayya; Clemens, Rachael; Patillo, Ericka; Murillo, Angela; Library and Information Science, School of Computing and Informatics
    The catalytic social justice events of the spring and summer of 2020 led to calls for a racial reckoning within society at large and also within the field of library and information science (LIS). This motivated us to capture the perceptions and voices of professionals across the field about changes they may have witnessed in their workplace, profession, and themselves. We consider the following questions: Have conversations, social spaces, teaching practices, policies, workplace dynamics, and demands, changed in response to the Black Lives Matter (BLM) protests, and if so, how? Have institutional changes perceived as responses to BLM protests been witnessed? What are the nuances behind such behavioral changes (e.g., opportunity, compulsion, peer pressure)? For this research, we used Critical Incident Technique (CIT) to explore how the 2020 BLM protests impacted the workplace environments of LIS faculty and professionals in libraries, archives, and museums (LAMs). A 27-question survey was administered via Qualtrics and participants were recruited using LAM professional listservs. A total of 645 participants completed the survey. This research provides the preliminary analysis and discussion of those results and provides insights to the impact of the 2020 social justice movements in LAMs. By capturing voices of LAM professionals, we explore participants’ perceptions of the impact that BLM protests had on their institutions and/or professional associations and document a range of responses at both the individual and structural levels.
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    Exploring the Effectiveness of Adaptive Technologies to Improve the Quality of Online Library and Information Science Courses
    (IDEALS, 2020-10-13) Murillo, Angela
    Adaptive Technologies and Quality Matters© Rubric standards have been created to mitigate the technological challenges for students taking online courses, to improve the overall quality of online courses, and to increase the effectiveness of student learning in online courses. This poster presents preliminary results of a two-year project that is testing the potential usefulness of these online teaching techniques. The activities for this project include incorporating Adaptive Technologies and the Quality Matters© Rubric into an online Library and Information Science (LIS) course and measuring the impact of these changes to the online course through student focus groups, Technology Acceptance Model (TAM)-based surveys, and formative and summative assessments. The objective of this project is to measure the effectiveness of Adaptive Technologies and the Quality Matters© Rubric in improving the online educational experience of the students impacted. This project addresses the following research questions: 1. When incorporating Adaptive Technologies into online courses, what is the perceived usefulness and ease of use for students interacting with these technologies? 2. When implementing the Quality Matters© standards into an online course, what is the perceived usefulness and ease of use for students interacting with a course site based on the Quality Matters© standards? 3. Do Adaptive Technologies and Quality Matters© standards, by removing technology barriers, assist students’ overall outcomes in online courses? The purpose of this study is two-fold, to test how well these tools improve online education and to develop a framework for incorporating Adaptive Technologies and Quality Matters© in other online LIS courses.
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    FAIR Data for Large Research Facilities
    (IEEE Explore, 2023) Brower, Don; Butcher, David; Murillo, Angela
    This workshop will bring together data managers, repository managers, administrators, and others who are responsible for, or interested in research data management at large research facilities. These facilities have unique issues due to a variety of factors, such as an extreme data volume, variety, and velocity. The workshop aims to provide cross-pollination between facilities that have similar desires to realize the FAIR principles. The organizers of this workshop are members of the NSF CI Compass FAIR Data Working Group, and the outcomes from these discussions will become a white paper and topics for future CI Compass webinars.
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    In between data sharing and reuse: Shareability, availability and reusability in diverse contexts
    (2017-11) Yoon, Ayoung; Jeng, Wei; Curty, Renata; Murillo, Angela
    Although data availability cannot be considered the sole predictor of effective reuse, because only accessible and well-managed data can make reuse possible, data reuse is contingent on the availability of data. It is critical to understand the nature of shareability, availability, and reusability, and their synergy and relationships, to further understand the dynamics of data reuse practices in multiple environments and contexts. This panel aims to closely examine aspects related to data shareability, availability and reusability, based on the assumption that each condition poses a cumulative effect on each other and impacts the efficiency and efficacy of the data reuse process. The panelists will present their findings and perspectives in a diverse context regarding data availability, between academic and non-academic; data shareability and data reusability, social sciences and earth science, researchers’ and journal publishers’ perspectives. Presentations will be followed by an interactive session taking the team-based approach, with the expectation to engage participants in discussion and experience-sharing, and to contribute in terms of practice and research with the current knowledge and applications.
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    A study of emerging trends in digital preservation literature: An analysis of journal articles presented in course syllabi
    (Sage, 2021-12-01) Murillo, Angela; Yoon, Ayoung
    The field of digital preservation education is evolving due to the rapid developments in the digital preservation field, and as educators and researchers respond to these developments. One way to understand trends in education is through the examination of course syllabi and through the assigned course readings, as instructors often utilize and integrate core and seminal literature in these courses. This study aims to understand the emerging topics and trends in digital preservation education through the examination of these course readings. This study examines these topics and trends through an analysis of the literature assigned digital preservation courses at North American ALA (American Library Association)-accredited Master’s in Library and Information Science programs through bibliometric analysis, topic modeling, and visual analysis of the citation data.
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    Towards Quality: A Project to Systematically Develop Quality Matters Skills and Capacities for an Online Department
    (IDEALS, 2019-09) Jones, Kyle M. L.; Murillo, Angela; Yoon, Ayoung; Library and Information Science, School of Informatics and Computing
    A three-person faculty team from the Department of Library and Information Science (DLIS) at Indiana University-Indianapolis (IUPUI) is developing Quality Matters competencies and peer-training artifacts to help design and evaluate online courses. DLIS teaches graduate students online; however, the department recently developed an undergraduate minor and major in the broad area of "data studies," which will include online courses. There is a significant need in the department to develop new courses and to do so according to best practices, which the Quality Matters program has identified. Through its 41 standards, Quality Matters sets research-based expectations for how online courses should be developed, though it makes no claim to the substantive content of a course. Certified Peer Reviewers use the Quality Matters rubric to evaluate courses and make recommendations for the improvement of courses. The rubric covers eight categories: 1. Course Overview and Introduction; 2. Learning Objectives; 3. Assessment and Measurement; 4. Resources and Materials; 5. Learner Engagement; 6. Course Technology; 7. Learner Support; and 8. Accessibility Each team member is working to achieve Certified Peer Review status, develop standards-based courses, and build artifacts (e.g., course site templates) aligned with Quality Matters standards to improve online education in the department. The team is sharing its work with institutional colleagues and developing peer-to-peer workshops. The poster will describe the team’s motivation, goals, successes, pain points, and work-to-date.