Browsing by Subject "research data"

Now showing 1 - 6 of 6
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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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    Governance in the commons: Dealing with research data
    (2020-07-16) Coates, Heather L.
    This presentation will describe data governance structure and processes within the Indiana University system. We will dive into the specific challenges related to governing research data, first by exploring how shifts in research culture have influenced the institution’s role in data stewardship. Then, we will discuss opportunities to collaborate in raising awareness, develop training, and sustain meaningful conversations about data governance and stewardship.
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    How to Request and Obtain Feasibility Numbers and Data for Research through the Regenstrief Data Core and the Indiana CTSI Informatics and Data Analysis Core (CIDAC)
    (Office of the Vice Chancellor for Research, 2015-04-17) Hoover, Sarah; Kesterson, Joe; Smith, Faye; Hudson, Brenda
    This poster presents a one-page, high-level summary view targeted at investigators and other individuals who have need to request numbers for research, explaining the process wherein requests can be made for feasibility and/or research data. Individuals seeking data for feasibility and/or research projects may utilize web based forms to make requests. Requests are tracked and managed by the Regenstrief Data Core. There are separate forms for Feasibility/Preliminary requests and Research Data requests. The purpose of this poster is to familiarize researchers with: Where to locate these forms on the Indiana CTSI website The steps needed to fill out and submit the appropriate request form The events that transpire between making the request and receiving data In addition, a description of available services through CIDAC and the Regenstrief Data Core is provided, included but not limited to expertise in study planning and implementation, assistance with subject recruitment and management and prospective descriptive clinical and demographic data.
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    Metrics for Evaluating the Impact of Data Sets
    (MIT Press Direct, 2022-01) Champieux, Robin; Coates, Heather L.
    Research is a social activity, involving a complex array of resources, actors, activities, attitudes, and traditions (Sugimoto & Larivière 2018). There are many norms, including the sharing of new work in the form of books and journal articles and the use of citations and acknowledgments to recognize the influence of earlier work, but what it means to produce impactful scholarship is difficult to define and measure. The goals, methods, metrics, and utility of evaluating the impact of data sets are situated within this broader context of scholarly communication and evaluation. An understanding of the dynamic history, current practices, concepts, and critiques of measuring impact for and beyond research data sets can help researchers navigate the scholarly dissemination landscape more strategically and gain agency in regard to how they and their work are evaluated and described. What is research impact? As Roemer and Borchardt (2015) describe, the concept involves two important ideas: the change a work influences and the strength of this effect. These effects can include, but are not limited to, advances in understanding and decision making, policy creation and change, economic development, and societal benefits. For example, rich documentation of an endangered language might lead to and support community and governmental revitalization efforts. However, the linkages between a specific scholarly product and its effects are rarely direct, there are disciplinary differences between how research is communicated and endorsed, and some outcomes take a very long time to manifest (Greenhalgh et al. 2016). This makes the assessment of research impact very labor intensive, even at a small scale, so researchers and decision makers often rely on data and metrics that are regarded as indicative of certain kinds of impact.
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    Practitioner Perspectives: Infrastructure
    (2022-04-26) Contaxis, Nicole M.; Coates, Heather L.
    The webinar introduces the basics of data management and the new requirements for data management and sharing (for NIH funded research) that will be in place beginning in 2023. This webinar will provide “practitioner perspectives” – i.e., data librarians sharing their opportunities, barriers, methods, and successes as they work toward improving data management practices at their institutions.
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    Raising the visibility of protected data: A pilot data catalog project
    (2020) Foster, Erin D.; Coates, Heather L.
    Sharing research data that is protected for legal, regulatory, or contractual reasons can be challenging and current mechanisms for doing so may act as barriers to researchers and discourage data sharing. Additionally, the infrastructure commonly used for open data repositories does not easily support responsible sharing of protected data. This chapter presents a case study of an academic university library’s work to configure the existing institutional data repository to function as a data catalog. By engaging in this project, university librarians strive to enhance visibility and access to protected datasets produced at the institution and cultivate a data sharing culture.