Browsing by Author "Hofelich Mohr, Alicia"

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Building community Internally within the Institution: Costs of Data Management and Sharing
(Data Curation Network, 2024) Hofelich Mohr, Alicia
Presented at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS), this presentation provides insight into the Realities of Academic Data Sharing Initiative (RADS) based at the Association of Research Libraries (ARL). Thanks to the entire RADS team: Cynthia Hudson Vitale (PI), Shawna Taylor, Jake Carlson, Lizhao Ge, Joel Herndon, Wendy Kozlowski, Jennifer Moore, and Jonathan Petters.
Call me maybe? It's not crazy! Data collection offices are a good partner in data management
(2015) Sell, Andrew; Hofelich Mohr, Alicia
For data management professionals, attention is largely focused on the beginning and ends of the research process, as many researchers are worried about meeting federal requirements for data management plans (DMPs) and are looking for ways to share and archive their data. As a University office specializing in survey and experimental data collection, we have seen how the "middle" steps of data collection and analysis can be influenced by, and be an influence on, these upstream and downstream data management processes. In this Pecha Kucha, we will present relevant data management lessons we have learned from designing, developing, and hosting data collection tools. Challenges of anonymity and paying participants, quirks of statistical files produced by data collection tools, and transparency in the research process are among some of the issues we will discuss. As many of these challenges directly impact later sharing and curation of the data collected, we emphasize that data collection offices can be important partners in data management efforts.
Consent Forms Data Curation Primer
(Data Curation Network, 2021-02-26) Hunt, Shanda; Hofelich Mohr, Alicia; Woodbrook, Rachel
Data Management Needs Assessment - Surveys in CLA, AHC, CSE, and CFANS
(2015) Hofelich Mohr, Alicia; Bishoff, Josh; Johnston, Lisa R; Braun, Steven; Storino, Christine; Bishoff, Carolyn
Researcher's data management needs were assessed at four colleges with in the University of Minnesota: The College of Liberal Arts (CLA), the Academic Health Center (AHC), the College of Science and Engineering (CSE), and the College of Food, Agriculture, and Natural Resource Sciences (CFANS). The initial survey was designed in CLA and featured a branched design that presented researchers one of two versions of the questions based on how respondents described the products of their scholarship - as "data" or "research materials". The survey was then customized for the other colleges, adding or editing questions based on feedback from disciplinary experts, while maintaining comparability across surveys. Surveys were run between September 2013 and and February 2015.
The Data Management Village: Collaboration among Research Support Providers in the Large Academic Environment
(Databrarianship: The Academic Data Librarian in Theory and Practice (editors Kristi Thompson and Lynda Kellam) Association of College and Research Libraries (ACRL), 2016) Hofelich Mohr, Alicia; Johnston, Lisa R; Lindsay, Thomas A
Data management encompasses the practices and people that acquire, control, protect, deliver and enhance the value of data throughout the research lifecycle. Done well, data management requires that these practices and people be connected throughout the entire research lifecycle. However, much of this work takes place in researchers’ own offices or labs or with the help of specialized support offices on campus, who only directly interact with researchers at single points in their projects. In academic libraries, a data management specialist may only interact with researchers at the beginning and end of a project, assisting with the creation of a data management plan (DMP) and preservation of the data when the research is completed. This poses a challenge when trying to help researchers integrate best practices into their workflows throughout the planning, collection, and analysis stages. Most libraries are focused on providing broad, public access to the content under their stewardship, and given this mission, libraries alone may not be able to offer all of the data services that our researchers need (for example, dark archives for sensitive or private data). Therefore, given the diverse nature of research data and the distributed support researchers may seek throughout their project, universities need a well-connected, distributed way to support data management; it is a service that “takes a village.”
Data ownership & sharing decision tree
(2025-01-28) Hofelich Mohr, Alicia; Hunt, Shanda L; Chandler, Matt; Moore, Jennifer
The "Data ownership & sharing decision tree" is a research tool the helps researchers decide 1) if they own the data they wish to share and 2) whether there are other factors beyond ownership that impact data sharing. This tool is especially helpful for those considering whether they can share human participant data. The PDF also links out to important background information and guidelines in certain decision pathways.
Data supporting: Automated Object Detection in Mobile Eye-Tracking Research: Comparing Manual Coding with Tag Detection, Shape Detection, Matching, and Machine Learning
(2024-06-20) Segijn, Claire M.; Menheer, Pernu; Lee, Garim; Kim, Eunah; Olsen, David; Hofelich Mohr, Alicia; segijn@umn.edu; Segijn, Claire
The goal of the current study is to compare the different methods for automated object detection (i.e., tag detection, shape detection, matching, and machine learning) with manual coding on different types of objects (i.e., static, dynamic, and dynamic with human interaction) and describe the advantages and limitations of each method. We tested the methods in an experiment that utilizes mobile eye tracking because of the importance of attention in communication science and the challenges this type of data poses to analyze different objects because visual parameters are consistently changing within and between participants. Python scripts, processed videos, R scripts, and processed data files are included for each method.
Development of a policy on ingestion of human subjects datasets: An institutional assessment and large-scale repository scan
(Medical Library Association Conference, 2020) Hunt, Shanda; Collins, Valerie; Hofelich Mohr, Alicia
Background: The Data Repository for the University of Minnesota (DRUM) is a publicly available collection of digital research data generated by University of Minnesota researchers, students, and staff. Within DRUM, there are 43 datasets with human subjects data. A human subject is a living individual about whom a researcher obtains, uses, studies, analyzes, or generates information. Datasets published in DRUM are openly available, broadly disseminated, and downloadable without restriction. Because of the sensitive nature of human subjects data, and the potential issues with publishing such data in a publicly accessible repository, we assess all human subjects data before acceptance. Ongoing conversations with researchers and other campus units regarding human subjects data in DRUM have brought to light the need for an analysis of our own processes as well as a scan of other repositories’ practices and policies for the purpose of formalizing a human subjects policy for DRUM. Description: We analyzed DRUM’s accepted and rejected human subjects datasets since 2013, in order to evaluate DRUM’s past and current practices regarding human subjects data, the ethical considerations we have weighed, and the actions we have taken in regards to these datasets. This presentation will provide specific examples of rejected datasets and the recommendations that curators made to researchers, and also detail the ethical considerations of publishing de-identified human subjects data when the study participants have not been notified. DRUM’s ongoing efforts to educate and establish campus-wide understanding of the issues led to the second aim of this study: we conducted a scan of 105 repositories that ingest human subjects data and analyzed 1) language related to participant consent on the website and 2) language related to participant consent in the deposit agreement. Finally, the presentation will detail the process of formulating a formal DRUM policy on human subjects dataset submissions based on the results of the analyses. Conclusion: We’ll detail the outcome of the human subjects policy inventory and any progress made as a result of ongoing outreach efforts by DRUM curators at the University of Minnesota. We'll also discuss next steps in getting the new DRUM human subjects policy approved.
Ethical and Practical Considerations of Open Data Sharing when Conducting Research with Human Participants
(2019-03) Bakker, Caitlin; Hunt, Shanda; Hofelich Mohr, Alicia
The Libraries and LATIS will present on the conflicts that can arise when attempting to balance the protection of participant privacy with expectations for open data. Restrictive language in IRB protocols, consent forms, and participant agreements designed to protect privacy can limit researchers when sharing, storing, or archiving the resulting data. Ethically, what is the appropriate course of action
Fall 2021 University of Minnesota College of Liberal Arts First-Year Student Surveys
(2022-01-07) Estrella, Emma; Davis, Cassandra N; Mody, Isha; DeWitt, Katie; Roy, Aarushi; Yan, Chenwei; Hines, Alexander; Hammell, Abbey E; Hofelich Mohr, Alicia; Ronning, Emily; estre059@umn.edu; Estrella, Emma; University of Minnesota Office of Student Experience; Liberal Arts Technologies and Innovation Services
This data is from two surveys distributed to first-year students in the College of Liberal Arts at the University of Minnesota. The surveys include questions about the value based on one's identity, comfortability with various tasks related to transitioning to college, sense of belonging in various campus communities, identity, discrimination, mentorship, Canvas use, and demographic identifiers. Survey 1 was sent at the beginning of the Fall 2021 semester, and Survey 2 was sent at the end. The aim of these surveys were to better understand the first-year experience for students, including the transition to college and campus climate.
Human Subjects Data Essentials Data Curation Primer
(Data Curation Network, 2020) Darragh, Jen; Hofelich Mohr, Alicia; Hunt, Shanda; Woodbrook, Rachel; Fearon, Dave; Moore, Jennifer; Hadley, Hannah
Institutional data repositories are vital
(Science, 2024-09) Darragh, Jen; Narlock, Mikala R.; Burns, Halle; Cerda, Peter A.; Cowles, Wind; Delserone, Leslie; Erickson, Seth; Herndon, Joel; Imker, Heidi; Johnston, Lisa R.; Lake, Sherry; Lenard, Michael; Hofelich Mohr, Alicia; Moore, Jennifer; Petters, Jonathan; Pullen, Brandie; Taylor, Shawna; Wham, Briana
As funding agencies and publishers reiterate research data sharing expectations, many higher-education institutions have demonstrated their commitment to the long-term stewardship of research data by connecting researchers to local infrastructure, with dedicated staffing, that eases the burden of data sharing. Institutional repositories are an example of this investment. They provide support for researchers in sharing data that might otherwise be lost: data without a disciplinary repository, data from projects with limited funding, or data that are too large to sustainably store elsewhere. The staffing and technical infrastructure provided by institutional repositories ensures responsible access to information while considering long-term preservation and alignment with international standards. To ensure continued access to invaluable research data, it is essential that publishers and funding agencies recognize institutional repositories as responsible and reliable data sharing solutions.
Making Data Right: Embedding Ethics and Data Management in Data Science Instruction
(IGI Global, 2022) Marsolek, Wanda; Barrick, Katie; Kubas, Alicia; McBurney, Jenny; Hofelich Mohr, Alicia
Learning how to wield data ethically and responsibly is a critical skill for data scientists, but one that is often lacking from traditional curriculum. Libraries have a long history of teaching data stewardship and sharing, and, in collaboration with collegiate research support entities, are good candidates to expose students engaging in data science to data ethics. This chapter presents four case studies on how the University of Minnesota Libraries and its partners have deeply integrated ethics into data management instruction. The chapter will highlight ethics for general data management instruction to undergraduate and graduate students from various disciplines, human subject data de-identification, qualitative methods and sharing, and biodiversity location data. Together, the case studies show how libraries and their partners are a natural fit to advance the work of data science curricula when it comes to managing data and the myriad ethical considerations that go along with this work.
Partnerships in a Data Management Village: Exploring how research and library services can work together
(2015) Hofelich Mohr, Alicia; Lindsay, Thomas; Johnston, Lisa R
Providing data management services is a task that takes a village; a distributed model of support, involving collaboration among diverse institutional offices, is needed to do it well. Researchers especially benefit when specialized institutional support offices are aware of other relevant providers and the impact their services have on the management of data across the research life cycle. However, once a village is assembled, how do we work with members to be committed collaborators, rather than a passive referral network? In this presentation, we will describe a case study of our in-depth collaboration between the University Libraries and the College of Liberal Arts (CLA) at the University of Minnesota. Both groups are developing new suites of data management services to meet evolving researcher needs and rising demands for data management support. Working together has provided many advantages for sharing resources and knowledge, but also has presented challenges, including how to define the respective roles of college-level and university-wide data management services, and how formalized collaborations may work. We will describe these challenges and how the collective and complementary skills of our offices will provide researchers with support across much larger portions of the research life cycle than either office could provide alone.
Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials
(2016-08-22) Patterson, Gilbert R; Hofelich Mohr, Alicia; Snider, Tim; Lindsay, Thomas A; Davies, Peter; Goldsmith, Tim; Sampedro, Fernando; patte606@umn.edu; Patterson, Gilbert R
In the event of a Foot and Mouth Disease (FMD) outbreak in the U.S., local, state, and federal authorities will implement a foreign animal disease emergency response plan restricting the pork supply chain movements and likely disrupting the continuity of the swine industry business. To minimize disruptions of the food supply while providing an effective response in an outbreak, it is necessary to ensure eradication strategies and risk management efforts are focused towards the most critical movements; those that are most necessary for business continuity and most likely to contribute to disease spread. This study recruited experts from production, harvest, retail, and allied pork industries to assess 30 common pork supply movements for their industry criticality. Movements spanned five categories: equipment, live animal production, genetics, harvest, and people. Experts were recruited via email to the American Association of Swine Veterinarians (AASV) mailing list and their assessments were collected via an online survey. For each of the thirty movements, experts were asked to rate the risk of FMD spread using a four-point scale, from no or slight risk of disease spread to high risk of disease spread. Then they were asked to estimate the time at which the restriction of each movement during an outbreak would have a significant negative consequence on business (e.g., high likelihood of bankruptcy, negative impact on animal welfare). These two facets of each movement were analyzed to provide an initial guide for prioritization of risk management efforts and resources to be better prepared in the event of a FMD outbreak in the US.
Spring 2022 University of Minnesota College of Liberal Arts First-Year Student Surveys
(2022-06-09) Estrella, Emma; Voss, Ethan; Mody, Isha; DeWitt, Katie; Roy, Aarushi; Yan, Chenwei; Hammell, Abbey E; Hofelich Mohr, Alicia; Hines, Alexander; Ronning, Emily; estre059@umn.edu; Estrella, Emma; University of Minnesota Office of Student Experience; Liberal Arts Technologies and Innovation Services
This data is from two surveys distributed to first-year students in the College of Liberal Arts at the University of Minnesota. The surveys include questions about the value based on one's identity, comfortability with various tasks related to transitioning to college, academic support networks, use of academic services, sense of belonging in various campus communities, identity, discrimination, mentorship, Canvas use, and demographic identifiers. Survey 1 was sent at the beginning of the Spring 2022 semester, and Survey 2 was sent at the end. The aim of these surveys were to better understand the first-year experience for students, including the transition to college and campus climate.
Summit for Academic Institutional Readiness in Data Sharing (STAIRS) Complete Slide Deck
(Data Curation Network, 2024) Narlock, Mikala; Carlson, Jake; Cowles, Wind; Herndon, Joel; Petters, Jon; Kozlowski, Wendy; Delserone, Leslie; Chandramouliswaran, Ishwar; Federer, Lisa; Wham, Briana; Woodbrook, Rachel; Johnston, Lisa; Lafia, Sara; Ivey, Susan; Downey, Moira; Hofelich Mohr, Alicia; Stollar Peters, Catherine; Fernandez, Rachel
The complete, main slide deck from the Summit for Academic Institutional Readiness in Data Sharing (STAIRS). Includes slides from individual presenters as well as STAIRS organizers.
Survey of anglers who had a fishing license in the 2018-2019 fishing season
(2022-03-28) McEachran, Margaret C.; Hofelich Mohr, Alicia; Lindsay, Thomas; Phelps, Nicholas B. D.; Fulton, David; phelp083@umn.edu; Phelps, Nicholas; Minnesota Aquatic Invasive Species Research Center (MAISRC); Department of Fisheries, Wildlife, and Conservation Biology; Liberal Arts Technology and Innovation Services (LATIS)
This is a dataset containing responses to a 2019 mailed paper survey of recreational anglers in Minnesota, USA. The release of live baitfish by anglers has been identified as a high-risk pathway for aquatic invasive species due to the potential for invasive fish, invertebrates, or pathogens to be release simultaneously with the baitfish. Consequently, the release of live baitfish is illegal in many jurisdictions, but little is known about compliance rates or motivations for illegal release. To assess the incidence of live baitfish release, we administered a mailed survey to a random sample of anglers who held a 2018-2019 annual fishing license and received 681 responses. To mitigate potential recall bias, we also administered 345 intercept surveys at waterbody access sites around the state asking anglers about the current day’s behaviors. Four hundred and eighty-one (72%) of the mailed survey respondents reported that they used live baitfish and of those, 99 (20%) reported that they release their leftover live baitfish into the water at least some of the time. Of the anglers surveyed at waterbody access sites, 59 (19%) were using live baitfish on the day they were surveyed and of those, 11 (18%) released their leftover baitfish into the water. The reasons provided for release included convenience and a misperception that released baitfish benefit the recipient ecosystem. Given the many millions of fishing trips that occur every year, the current rate of illegal baitfish release results in many chances for invasive species introduction. However, there is also significant opportunity for management interventions aimed at changing perceptions and providing convenient disposal alternatives to illegal release to reduce the risk presented by this pathway. This data is being released in accordance with the terms of our funding and to facilitate review of the paper prior to publication.
Thinking Inside the Box: Data from an Online Alternative Uses Task with Visual Manipulation of the Survey Response Box
(2016-09-29) Hofelich Mohr, Alicia; Sell, Andrew; Lindsay, Thomas; hofelich@umn.edu; Hofelich Mohr, Alicia
This study was designed to test whether responses to a divergent thinking task (the Alternative Uses Task, AUT; Guildford, 1967) could be influenced by visual design characteristics of the survey response box. We manipulated the type of response box (whether participants saw one large, essay style box - unsegmented - or whether they saw several small, list-style boxes - segmented; see variable "Segmented") and the size/number of boxes seen (5, 10, or 15 lines or boxes; see variable "Lines"). Participants were recruited from the United States between February and early May, 2014 from Amazon's Mechanical Turk (MTurk) and completed the task online. They were given two minutes to list as many uses for either a brick or a paperclip (randomized across participants; see variable "Item"), and then were automatically advanced to answer questions about their personality (the 44 item Big Five Inventory; John & Srivastava, 1991) and demographic information (Age, Sex, Education). Judges scored their responses for elaboration, flexibility, and originality.
Thinking Inside the Box: Visual Design of the Response Box Affects Creative Divergent Thinking in an Online Survey
(Social Science Computer Review, SAGE, 2015) Hofelich Mohr, Alicia; Sell, Andrew; Lindsay, Thomas
While the visual design of a question has been shown to influence responses in survey research, it is less understood how these effects extend to assessment-based questions that attempt to measure how, rather than just what, a respondent thinks. For example, in a divergent thinking task, the number and elaboration of responses, not just how original they are, contribute to the assessment of creativity. Using the Alternative Uses Task in an online survey, we demonstrated that scores on fluency, elaboration, and originality, core constructs of participants’ assessed creative ability, were systematically influenced by the visual design of the response boxes. The extent to which participants were susceptible to these effects varied with individual differences in trait conscientiousness, as several of these effects were seen in participants with high, but not low, conscientiousness. Overall, our results are consistent with previous survey methodology findings, extend them to the domain of creativity research, and call for increased awareness and transparency of visual design decisions across research fields.

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