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<title>IUPUI Data Catalog</title>
<link>https://hdl.handle.net/11243/29</link>
<description>This catalog describes protected data created by IUPUI scholars. These data are available for reuse with approval and a Data Use Agreement.</description>
<pubDate>Tue, 21 Apr 2026 17:33:16 GMT</pubDate>
<dc:date>2026-04-21T17:33:16Z</dc:date>
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<title>Data for Testing job wellbeing indicators among community behavioral health workers: Community-based participatory research</title>
<link>https://hdl.handle.net/11243/53</link>
<description>Data for Testing job wellbeing indicators among community behavioral health workers: Community-based participatory research
Fukui, Sadaaki; Wu, Wei; Garabrant, Jennifer; Salyers, Michelle P.; Dell, Nathaniel; Bass, Emily; Greenfield, Jaime; Morse, Gary
Many community behavioral health organizations (CBHOs) continue to struggle with their employees’ reduced job wellbeing and job disengagement (i.e., turnover intentions, actual turnover). Understanding employees’ job wellbeing priorities in their organizational contexts is essential to address the challenges, especially for workers in diverse work settings such as CBHOs. We used community-based participatory research (CBPR) strategies to develop and test job wellbeing indicators. The current study implemented 11 indicators with 168 people employed at a CBHO through initial and 6-month follow-up surveys. Positive endorsement of job wellbeing indicators differed based on employees’ demographic (e.g., race, education, marital status) and job (e.g., exempt status, clinical positions) characteristics. Several indicators declined from the initial to the follow-up surveys (e.g., communication, job fairness, decision-making involvement, expectation alignment, supervisory support, career development opportunities). The change rates also varied by employee characteristics (e.g., work years, race, exempt status, full-time). The current study illustrates the utility of CBPR strategies to implement job wellbeing indicators based on employees’ priorities and diverse job wellbeing experiences among employee subpopulations. Further, the developed indicators revealed job wellbeing heterogeneity by employee subpopulations within an organization that is often overlooked. Efforts to understand varying job wellbeing characteristics among diverse employees may eventually help develop organization-tailored interventions to improve job wellbeing and reduce turnover.
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<title>Association of heightened host and tumor immunity with prolonged duration of response to checkpoint inhibition across solid tumors</title>
<link>https://hdl.handle.net/11243/52</link>
<description>Association of heightened host and tumor immunity with prolonged duration of response to checkpoint inhibition across solid tumors
Philips, Santosh; Lu, Pei; Fausel, Chris; Wagner, Thomas; Jiang, Guanglong; Shen, Fei; Cantor, Erica; Tran, Mya; Roland, Lauren M.; Schneider, Bryan P.
Cancer immunotherapy is a beneficial therapy for many cancer types, but predictive pan-tumor biomarkers for clinical benefit are suboptimal. Our study, employing DNA and RNA based analysis, investigated the role of predicted neoantigens in the benefits of immunotherapy within a cohort of 88 patients of European descent with advanced solid tumors. Patients who had a prolonged (&gt; 12 months) duration of immunotherapy exhibited heightened immune responses, characterized by increased levels of predicted neoantigens with strong HLA binding potential, elevated cytotoxic marker levels, and enhanced T cell activity. Furthermore, our analysis revealed associations between prolonged duration of therapy and rare variants, notably within the EPHA8 gene. These variants, exclusive to patients with a prolonged (&gt;12 months) duration of immunotherapy, suggest potential implications for immunotherapy response. In addition, the evolutionary conservation of these variants across vertebrate species underscores their functional importance in tumor biology and ultimately, treatment outcomes. Despite limitations in sample size and patient homogeneity, our findings emphasize the potential utility of understanding the molecular and immunological mechanisms underlying immunotherapy responses to further refine personalized treatment strategies.
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<pubDate>Wed, 12 Feb 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-02-12T00:00:00Z</dc:date>
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<title>COgnitive intervention to Restore attention using nature Environment (CORE) study data</title>
<link>https://hdl.handle.net/11243/48</link>
<description>COgnitive intervention to Restore attention using nature Environment (CORE) study data
Jung, Miyeon
The COgnitive intervention to Restore attention using nature Environment (CORE) study is single-blinded, two-group randomized-controlled pilot trial among patients with heart failure. The aims to test the preliminary efficacy of the newly developed Nature-VR, a virtual reality-based cognitive intervention that is based on the restorative effects of nature. The Nature-VR intervention group viewed 3-dimensional nature pictures using a virtual reality headset for 10 minutes per day, 5 days per week for 4 weeks (a total of 200 minutes). The active comparison group, Urban-VR, viewed 3-dimensional urban pictures using a virtual reality headset to match the Nature-VR intervention in intervention dose and delivery mode, but not in content. In this study, 73 participants with heart failure completed the baseline and randomized to either Nature-VR or Urban-VR. The target outcomes were attention, self-care of heart failure, and health-related quality of life (HRQoL). After baseline data collection, 4 follow-up data were collected at 4, 8, 26, and 52 weeks.&#13;
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The de-identified and openly available copy of these data are at https://doi.org/10.5281/zenodo.14057663
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<title>Sample record for the IUPUI Data Catalog</title>
<link>https://hdl.handle.net/11243/34</link>
<description>Sample record for the IUPUI Data Catalog
Coates, Heather L.
This deposit is a sample record for the IUPUI Data Catalog. The Request a Copy feature is used to facilitate requests of controlled-access datasets in the Catalog. The readme files and other documentation provided are open access and available for download.
Instructions for requesting access to the data will be provided here. It is also possible to include contact information for questions about the dataset.
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<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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<dc:date>2021-01-01T00:00:00Z</dc:date>
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