Browsing by Subject "open data"

Now showing 1 - 6 of 6
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    Creating Structured Linked Data to Generate Scholarly Profiles: A Pilot Project using Wikidata and Scholia
    (2018-12-10) Lemus-Rojas, Mairelys; Odell, Jere D.; University Library
    INTRODUCTION Wikidata, a knowledge base for structured linked data, provides an open platform for curating scholarly communication data. Because all elements in a Wikidata entry are linked to defining elements and metadata, other web systems can harvest and display the data in meaningful ways. Thus, Wikidata has the capacity to serve as the data source for faculty profiles. Scholia is an example of how third-party tools can leverage the power of Wikidata to provide faculty profiles and bibliographic, data-driven visualizations. DESCRIPTION OF PROGRAM In this article, we share our methods for contributing to Wikidata and displaying the data with Scholia. We deployed these methods as part of a pilot project in which we contributed data about a small but unique school on the Indiana University-Purdue University Indianapolis (IUPUI) campus, the IU Lilly Family School of Philanthropy. NEXT STEPS Following the completion of our pilot project, we aim to find additional methods for contributing large data collections to Wikidata. Specifically, we seek to contribute scholarly communication data that the library already maintains in other systems. We are also facilitating Wikidata edit-a-thons to increase the library’s familiarity with the knowledge base and our capacity to contribute to the site.
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    Final Report of IUPUI Public Access to Research Data Working Group
    (2022-04) Baich, Tina; Ben Miled, Zina; Berbari, Nick; Chu, Gabe; Coates, Heather; Erkins, Esther; Friesen, Amanda; Guiliano, Jen; Han, Jiali; Organ, Jason; Yoon, Ayoung
    In light of the movement towards greater access to and transparency in research, the Association of American Universities (AAU) and Association of Public and Land-grant Universities (APLU) convened gatherings in October 2018 and February 2020 to provide a venue for learning, sharing, and planning (campus roadmaps) to support research universities in creating and implementing strategies and systems to provide public access to research data. At the request of Vice Chancellor of Research Janice Blum, Heather Coates and Tina Baich attended the February 2020 gathering. The primary goals of the 2020 convening were to identify best practices, where they exist, to develop a Guide to Accelerating Public Access to Research Data at Academic Institutions (now available here), and to develop a strategic plan for AAU and APLU to drive future actions. As a result, Coates and Baich proposed that the Vice Chancellor for Research convene a working group to further this work on the IUPUI campus. Vice Chancellor Blum charged the Public Access to Research Data Working Group (PARDWG) with investigating the current landscape of data sharing at IUPUI and creating a plan to increase awareness and provide education of campus stakeholders around public access to research data. Working Group members were invited to ensure broad representation of disciplines, acknowledging that data sharing happens differently in different disciplines.
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    Open Access is necessary but not sufficient to ensure research integrity
    (2022-10-27) Coates, Heather L.
    This interactive session will explore the central role of open access to publications, data, instruments, protocols, code and/or scripts in fostering a culture of research integrity and public trust in research. Through discussion of contemporary investigations into misconduct, we will consider the interconnectedness of good data practices and open access with principles of research integrity. In particular, we will discuss concrete practices related to project management, data management, and training that enable validation, foster a culture of research integrity, and support greater openness in the conduct of research and dissemination of research outputs.
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    Public Libraries’ service model for Community Open Data Engagement (mCode)
    (2022) Yoon, Ayoung; Copeland, Andrea
    While there has been a growing interest in open data utilization in community context, previous research pointed out that individuals’ participation in open data is low due to the various difficulties and lack of support. Public libraries are an essential role in citizen’s engagement with open data but they need resources and professional networks to guide them to initiate, organize, explain, and promote data services to their communities. Addressing this gap, this research aims to create a research-driven theoretical model for public libraries' open data engagement, named mCODE (the model for Community Open Data Engagement). The mCODE is unique in that it emphasizes the local context and community engagement, reflecting public libraries' strong position to address the place-based needs of their communities.
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    Understanding social impact of data on local communities
    (2019) Yoon, Ayoung; Copeland, Andrea
    • Purpose: The purpose of this study is to understand the social impact of data on communities from cases of community data utilization. • Design/methodology/approach: This study took an interpretive qualitative approach and conducted a semi-structured phone interview with 45 participants from data intermediaries and local community organizations. • Findings: The results demonstrate both direct and indirect impact 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 • Practical implications: 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. • Social implications: Minimizing inequality in data utilization should be resolved so that all communities can benefit from the power of data. • Originality/value: 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.
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    University Library: Recommended generalist data repositories for sharing research data
    (2024-08-09) Coates, Heather L.
    This resource was created to help IU researchers choose a generalist data repository when data- or domain-specific data repositories are not available. Adapted from the Harvard Biomedical Repository Matrix at https://zenodo.org/records/10651775.