Presentations & Posters

Invited

Coates, H. L. (2016). Demonstrating impact as a practitioner-researcher. Presentation during the panel “Altmetrics and my career: Real barriers or limitations of our minds?” at the FORCE 2016 annual meeting. doi:10.6084/m9.figshare.3180370

Coates. H. L. (2015). Big Data. Panel presentation at the annual Midwest Medical Librarian’s Association, Louisville, KY. Slides available

Coates, H. (2014). Building Data Management and Repository Services: The IUPUI Approach at Doing It Your Way: Approaches to Research Data Management for Libraries (sponsored by the National Network of the Libraries of Medicine, Middle Atlantic Region), New York, NY. Slides available

Coates, H. (2012). Meeting the NSF Data Management Plan Requirement. Indiana Forum for Research Administrators, Muncie, IN. Slides available

October 2012: Librarian roles in data curation (guest lecture, SLIS S604: Scholarly Communication). Slides available

Refereed

Promoting sustainable research practices through effective data management curricula

Audience: Association of College & Research Libraries meeting attendees
Date: March 27, 2015
Description: Managing research data effectively is critical to producing high quality datasets that support data preservation, sharing, reuse, and reproducible research. Academic librarians are increasingly playing a role in providing training and education in data management (DM) for faculty and students. While emerging data management curricula are converging on a common set of topics covered, expected learning outcomes, instructional materials, techniques and strategies still vary widely. This wide variability in DM instructional approaches largely reflects the similarly broad variety of audiences for the material, and the instructors offering it. The audience for DM instruction includes graduate students, faculty and research support staff from all disciplines, liaison librarians, data specialists and many others. Instructional methods range from online modules and coursework, workshops, and credit-bearing courses. There is no one-size-fits-all approach to teaching data management, so having a familiarity with the variety of teaching models and methods currently being used is very helpful in designing a teaching strategy that is targeted to your audience. Librarians from three public research universities will describe their developing DM teaching programs, including a credit-bearing graduate course, a workshop series for librarians, and a workshop series for graduate students, research support staff, and investigators. In support of establishing best practices for data management instruction, we will describe successes and challenges in delivery, retention, and customizing materials for particular audiences. We will also compare instructional design, activities, and assessment approaches to identify common, effective strategies across all three. We will invite the audience to guide the panel discussion through a series of group polls.

Slides available

Teaching data literacy skills in a lab environment

Audience: International Association for Social Science Information Science & Technology (IASSIST) meeting attendees
Date: June 4, 2014

Description: 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.

Slides available (ScholarWorks or SlideShare)

Building the Future of Research Together: Collaborating with a Clinical and Translational Science Award (CTSA)-Funded Translational Science Institute to Provide Data Management Training

Audience: Medical Library Association annual meeting attendees
Date: May 19, 2014
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.

Slides available

Improving data management in academic research: Assessment results for a pilot lab

Audience: Medical Library Association annual meeting attendees
Date: May 19, 2014
Abstract: 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.

Poster available

Improving user engagement in a data repository using web analytics

Audience: LITA Forum 2013 attendees
Date: November 9, 2013
Description: A goal of data curation activities is to enable discovery and reuse of valuable data sets. How well repositories facilitate these activities is difficult to measure with existing metrics. In this presentation we will discuss how to utilize usage statistics from DSpace (Apache SOLR) and Google Analytics to better understand how researchers discover, access, and use datasets archived in an institutional repository. Our focus will be on data analysis to explore the information seeking needs and behavior of data repository users. Ultimately, this analytic approach will inform the outreach, marketing, and impact evaluation of data repositories.

Slides available

Developing a data management lab: Teaching effective methods for health and social sciences research

Audience: Data Information Literacy Symposium attendees
Date: September 23, 2013
Description: Graduate students and staff often perform data management and stewardship tasks without the requisite skills and context. Providing data management training to graduate students and research staff is a crucial step in ensuring the integrity and security of research data. The current state of practice often includes outdated, idiosyncratic, and ineffective data management practices passed down from faculty to junior team members with little consideration of their effectiveness or impact on data integrity. Since faculty members have little time and incentive to explore new digital strategies and tools, junior team members such as graduate students and research staff are more accessible recipients for training programs. In order to address the need for more effective data management practices in academic health and social science research, we are conducting a literature review. This will be used to develop a data management curriculum and workshop series for graduate students and research staff. The first phase of the literature review includes statistics, psychology, library and information science, computer science, clinical data management, and sociology. Future phases will explore the literature in the physical and life sciences, engineering, and technology. Strategies extracted from the literature are being incorporated into a data management curriculum. The curriculum will be delivered through a series of workshops offering many opportunities to apply strategies to real-world datasets. The relationship between these strategies and issues such as data integrity, the responsible conduct of research, reproducible science, and open science will be highlighted through workshop activities.

Poster available

Practical data management: Enabling graduate students and staff to function as ethical actors

Audience: Association of College & Research Libraries meeting attendees
Date: April 12, 2013
Description: Graduate students and staff are the unrecognized daily stewards for much of the research data collected on academic campuses. Often, they are performing these vital tasks without understanding their role as part of the research life cycle and scholarly communication process. Providing data management training is vital to ensuring the integrity of valuable research data. This poster will describe a series of instructional tools designed to provide a skills base for responsible data management.

Poster available

Data Services: Making it Happen

Audience: ACRL 2013 attendees
Date: April 12, 2013
Description: The explosion of digital research data has created exciting opportunities for librarians to engage with faculty, staff, and students in their research processes. Advances in computing, sensor technologies, and communications are challenging researchers’ abilities to find, manage, utilize, visualize, and store data. Three librarians from public Universities will describe practical approaches for developing new services, collaborations, and content to meet these needs. Real-world examples and relevant issues will be posed for group discussion.

Slides available

Screencast available with registration for the virtual conference

Clinical data management: Strategies for unregulated data

Audience: RDAP Summit 2013 attendees
Date: April 4, 2013
Description: Unlike data curation, clinical data management (CDM) is a recognized area of expertise and a defined career path. The highly regulated clinical trials environment has produced effective and efficient practices that can be generalized to other areas of research. Good Clinical Practice (GCP) is an international standard developed by the International Conference on Harmonisation that specifies how clinical trials should be conducted and defines the roles and responsibilities of various sponsors, investigators, and monitors. These practices address many of the issues at the core of data curation and sharing. Much academic research is not rigidly structured in the manner of clinical trials. Relevant practices within CDM and GCP must be reinterpreted for non-clinical research so that they can inform general data management, sharing, and preservation practice. This lightning talk will highlight effective strategies from CDM and GCP that promote data integrity, facilitate data preservation and sharing, and facilitate reproducibility of results.

Slides available

Opportunities in Data Curation: Integrating the Library into the Research Process

Audience: ER&L 2012 attendees
Date: April 4, 2012
Description: Libraries are an untapped partner in conducting digital scholarship. While we are often recognized as partners in teaching, our role in digital scholarship is less clear. There are many exciting opportunities for librarians to extend our expertise by building vital campus partnerships and integrating data services into researchers’ scholarly practices.

Slides available

Miscellaneous

August 2010: The exchange of social support via social networks of maternal caregivers for children with autism spectrum disorders (thesis defense). Slides available

May 2010: Current trends in psychology research: How can they improve library practice? Slides available

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