Browsing by Subject "Data management"

Now showing 1 - 8 of 8
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    Behavioral data - management, archiving, and sharing: advantages of using a library online repository
    (2011) Snajdr, Eric
    An often-overlooked aspect of scientific research in animal behavior has been the preservation of data and gray literature (unpublished products) that lie behind the scenes of the research.  If preserved, many of these materials could likely be of use to the present and future scientific community.  Institutional repositories of college and research libraries can play an important role in this regard.   Unlike lab web pages, institutional repositories provide a permanent location for research products.  Files are stored in optimal formats and are managed such that access will be possible far into the future.  In addition, repositories provide support for the creation of descriptive information (metadata) for making mounted works findable by others (e.g. through search engines).  Restrictions on access (embargo periods) can be placed. A research lab at Indiana University is using their campus institutional repository to archive data and gray literature from long-term studies on songbird behavior.  Examples of items preserved are protocols, yearly goals, and field notes.  The group is currently working to preserve various data, summaries, and media related to their research.     
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    Building the Future of Research Together: Collaborating with a Clinical and Translational Science Award (CTSA)-Funded Translational Science Institute to Provide Data Management Training
    (2014-05-19) Coates, Heather L.
    Objectives: To explore potential collaborations between academic libraries and Clinical Translational Science Award (CTSA) - funded institutes with respect to data management training and support. Methods: The National Institutes of Health CTSAs have established a well-funded, crucial infrastructure supporting large-scale collaborative biomedical research. This infrastructure is also valuable for smaller, more localized research projects. While infrastructure and corresponding support is often available for large, well-funded projects, these services have generally not been extended to smaller projects. This is a missed opportunity on both accounts. Academic libraries providing data services can leverage CTSA-based resources, while CTSA-funded institutes can extend their reach beyond large biomedical projects to serve the long tail of research data. Results: A year-long series of conversations with the Indiana CTSI Data Management Team resulted in resource sharing, consensus building about key issues in data management, provision of expert feedback on a data management training curriculum, and several avenues for future collaborations. Conclusions: Data management training for graduate students and early career researchers is a vital area of need that would benefit from the combined infrastructure and expertise of translational science institutes and academic libraries. Such partnerships can leverage the instructional, preservation, and access expertise in academic libraries, along with the storage, security, and analytical expertise in translational science institutes to improve the management, protection, and access of valuable research data.
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    Dashboards Are Trendy, Visible Components of Data Management in Public Health: Sustaining Their Use After the Pandemic Requires a Broader View
    (American Public Health Association, 2022) Dixon, Brian E.; Dearth, Shandy; Duszynski, Thomas J.; Grannis, Shaun J.; Epidemiology, School of Public Health
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    From Cultural Heritage to Research Innovations: Digital Scholarship Services for a Changing University
    (http://research.iupui.edu/events/researchday2013/documents/b4.pdf, 2013-04-05) Odell, Jere D.; Johnson, Jennifer; Coates, Heather L.
    Digital technologies are changing the character of research, scholarship and education. While some may see these changes as a threat to business as usual, others see opportunities to build stronger universities, healthier learning communities and more equitable access to knowledge and information. The Program of Digital Scholarship provides the tools and services to help the IUPUI community develop both innovative and proven projects supported by the University Library. The Program of Digital Scholarship provides the IUPUI community with a variety of services and tools for sharing and managing their digital scholarly assets including but not limited to: published articles, white papers, conference presentations, images, artifacts, reusable learning objects, theses and dissertations, historic texts, datasets, and multimedia files. By providing open access to digital resources, these services contribute to IUPUI’s success as an innovative, urban university. In this poster, we describe four use cases in which faculty or community groups have collaborated with the Program of Digital Scholarship to build and share 1) the cultural heritage of central Indiana, 2) published works of faculty and student scholarship, 3) journals published at IUPUI, and 4) data management plans for grant-funded research. In each case, the Program of Digital Scholarship improved the dissemination of education, research and culture while raising the standards for preservation, usability, and accessibility.
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    Improving data management in academic research: Assessment results for a pilot lab
    (2014-05-19) Coates, Heather L.
    Common practices for data collection, storage, organization, documentation, sharing, re-use, and preservation are often suboptimal. Issues often arising from common data practices include data loss, corruption, poor data integrity, and an inability to demonstrate the provenance (i.e., the origin) of the data. Ineffective data management can result in data that are unusable for re-use and re-analysis. However, effective data management practices exist to support data integrity, interoperability, and re-use. These practices maximize the value and potential impact of any particular dataset. In light of the gap between common practice and known effective strategies, we developed an intensive lab curriculum to train students and research support staff in implementing these strategies. This lab addresses the lack of formal data management training available on our campus and targets key processes in the data life cycle, promoting strategies that facilitate generation of quality data appropriate for re-use.
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    Lessons Learned: Beta-Testing the Digital Health Checklist for Researchers Prompts a Call to Action by Behavioral Scientists
    (JMIR, 2021-12-22) Bartlett Ellis, Rebecca; Wright, Julie; Soederberg Miller, Lisa; Jake-Schoffman, Danielle; Hekler, Eric B.; Goldstein, Carly M.; Arigo, Danielle; Nebeker, Camille; School of Nursing
    Digital technologies offer unique opportunities for health research. For example, Twitter posts can support public health surveillance to identify outbreaks (eg, influenza and COVID-19), and a wearable fitness tracker can provide real-time data collection to assess the effectiveness of a behavior change intervention. With these opportunities, it is necessary to consider the potential risks and benefits to research participants when using digital tools or strategies. Researchers need to be involved in the risk assessment process, as many tools in the marketplace (eg, wellness apps, fitness sensors) are underregulated. However, there is little guidance to assist researchers and institutional review boards in their evaluation of digital tools for research purposes. To address this gap, the Digital Health Checklist for Researchers (DHC-R) was developed as a decision support tool. A participatory research approach involving a group of behavioral scientists was used to inform DHC-R development. Scientists beta-tested the checklist by retrospectively evaluating the technologies they had chosen for use in their research. This paper describes the lessons learned because of their involvement in the beta-testing process and concludes with recommendations for how the DHC-R could be useful for a variety of digital health stakeholders. Recommendations focus on future research and policy development to support research ethics, including the development of best practices to advance safe and responsible digital health research.
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    Teaching data literacy skills in a lab environment
    (2014-06-04) Coates, Heather L.
    Equipping researchers with the skills to effectively utilize data in the global data ecosystem requires proficiency with data literacies and electronic resource management. This is a valuable opportunity for libraries to leverage existing expertise and infrastructure to address a significant gap data literacy education. This session will describe a workshop for developing core skills in data literacy. In light of the significant gap between common practice and effective strategies emerging from specific research communities, we incorporated elements of a lab format to build proficiency with specific strategies. The lab format is traditionally used for training procedural skills in a controlled setting, which is also appropriate for teaching many daily data management practices. The focus of the curriculum is to teach data management strategies that support data quality, transparency, and re-use. Given the variety of data formats and types used in health and social sciences research, we adopted a skills-based approach that transcends particular domains or methodologies. Attendees applied selected strategies using a combination of their own research projects and a carefully defined case study to build proficiency.