Social and Behavioral Sciences Commons^™

Research Data Management Practices And Challenges In Academic Libraries: A Comprehensive Review, Subaveerapandiyan A

Library Philosophy and Practice (e-journal)

This comprehensive review article delves into the current landscape of research data management (RDM) practices and challenges faced by academic libraries across various regions. Utilizing a wide range of studies and data collected from different countries, this article aims to provide a comprehensive overview of the state of RDM services, the role of librarians, and the advancements in technology within academic libraries. The review explores the importance of RDM in supporting open science, data sharing, and reproducibility while also shedding light on areas that require further development and improvement.

Open, Organized, And Onerous: Understanding And Recognizing The Labors Of Open Science, Nick Bowman, Patric R. Spence, Lindsay Hahn

Journal of the Association for Communication Administration

In the face of high-profile cases of scientific fraud, there has been a renewed call among scholars to reconsider current best practices in academic publishing. Prominent in these discussions is a set of open science practices that ask scholars to “publish more” of their research—not in terms of manuscripts, but in terms of supplemental materials to the scientific enterprise. Through creating, curating, and publishing artifacts such as study materials (experimental stimuli, survey texts, etc.), datasets and analysis code, and other content, the scientific process is made more transparent for readers. However, such practices involve a substantial labor cost to researchers …

Taming The Data In The Internet Of Vehicles, Shahab Tayeb

Mineta Transportation Institute Publications

As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusion Detection System (IDSs), by implementing anomaly detection, which differentiates benign data packets from malicious ones. For an IDS to best predict anomalies, the model is trained on data that is typically pre-processed through normalization and feature selection/reduction. These pre-processing techniques play an important role in training a neural network to optimize …

Scientific Data Management From Perspective Of Scientific Funding Agencies, Qiuhong Zhao, Yuanrui Li, Xiuquan Deng, Chu Zhang, Baofeng Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the development of technologies such as the acquisition, storage, analysis, and processing of scientific data, scientific research and innovation are gradually moving towards the era of big data, which takes scientific data as the basic scientific and technological resources. Moreover, the data-driven research paradigm has been widely used in the practical work of various disciplines, and the value of scientific data has increased to a prominent position of scientific research and innovation. As a result, the scientific data management responsibilities of research funding agencies are becoming increasingly important. Therefore, based on the analysis of the driving factors of the …

Supporting Big Data Research At Case Western Reserve University, Jen Green, Ben Gorham, Roger Zender, Lee Zickel, Em Dragowsky

Researchers, Instructors, & Staff Scholarship

This report is an investigation of the research practices of faculty and research staff who utilize or support data science or big data methodologies at Case Western Reserve University (CWRU). The study was conducted by librarians and library staff within the Kelvin Smith Library (KSL) in collaboration with staff within CWRU University Technology ([U]tech), and was part of national selection of parallel studies occurring at public and private academic institutions throughout North America.

How Data Curation Enables Epistemically Responsible Reuse Of Qualitative Data, Sebastian Karcher, Dessislava (Dessi) Kirilova, Christiane Pagé, Nic Weber

The Qualitative Report

Data sharing and reuse are becoming the norm in quantitative research. At the same time, significant skepticism still accompanies the sharing and reuse of qualitative research data on both ethical and epistemological grounds. Nevertheless, there is growing interest in the reuse of qualitative data, as demonstrated by the range of contributions in this special issue. In this research note, we address epistemological critiques of reusing qualitative data and argue that careful curation of data can enable what we term “epistemologically responsible reuse” of qualitative data. We begin by briefly defining qualitative data and summarizing common epistemological objections to their shareability …

Data Sharing In Southeast Asia During The First Wave Of The Covid-19 Pandemic, Arianna Maever L. Amit, Veincent Christian F. Pepito, Bernardo Gutierrez, Thomas Rawson

Ateneo School of Medicine and Public Health Publications

Background: When a new pathogen emerges, consistent case reporting is critical for public health surveillance. Tracking cases geographically and over time is key for understanding the spread of an infectious disease and effectively designing interventions to contain and mitigate an epidemic. In this paper we describe the reporting systems on COVID-19 in Southeast Asia during the first wave in 2020, and highlight the impact of specific reporting methods.

Methods: We reviewed key epidemiological variables from various sources including a regionally comprehensive dataset, national trackers, dashboards, and case bulletins for 11 countries during the first wave of the epidemic in Southeast …

Sharing Voxelwise Neuroimaging Results From Rhesus Monkeys And Other Species With Neurovault, Andrew S. Fox, Daniel Holley, Peter Christiaan Klink, Spencer A. Arbuckle, Carol A. Barnes, Jörn Diedrichsen, Sze Chai Kwok, Colin Kyle, J. Andrew Pruszynski, Jakob Seidlitz, Xu Feng Zhou, Russell A. Poldrack, Krzysztof J. Gorgolewski

Brain and Mind Institute Researchers' Publications

© 2020 The Authors Animal neuroimaging studies can provide unique insights into brain structure and function, and can be leveraged to bridge the gap between animal and human neuroscience. In part, this power comes from the ability to combine mechanistic interventions with brain-wide neuroimaging. Due to their phylogenetic proximity to humans, nonhuman primate neuroimaging holds particular promise. Because nonhuman primate neuroimaging studies are often underpowered, there is a great need to share data amongst translational researchers. Data sharing efforts have been limited, however, by the lack of standardized tools and repositories through which nonhuman neuroimaging data can easily be archived …

New Frontiers In Translational Research: Touchscreens, Open Science, And The Mouse Translational Research Accelerator Platform, Jacqueline A. Sullivan, Julie R. Dumont, Sara Memar, Miguel Skirzewski, Jinxia Wan, Maryam H. Mofrad, Hassam Zafar Ansari, Yulong Li, Lyle Muller, Vania F. Prado, Marco A.M. Prado, Lisa M. Saksida, Timothy J. Bussey

Brain and Mind Institute Researchers' Publications

© 2020 International Behavioural and Neural Genetics Society and John Wiley & Sons Ltd Many neurodegenerative and neuropsychiatric diseases and other brain disorders are accompanied by impairments in high-level cognitive functions including memory, attention, motivation, and decision-making. Despite several decades of extensive research, neuroscience is little closer to discovering new treatments. Key impediments include the absence of validated and robust cognitive assessment tools for facilitating translation from animal models to humans. In this review, we describe a state-of-the-art platform poised to overcome these impediments and improve the success of translational research, the Mouse Translational Research Accelerator Platform (MouseTRAP), which is …

Open Banking: Credit Market Competition When Borrowers Own The Data, Zhiguo He, Jing Huang, Jidong Zhou

Cowles Foundation Discussion Papers

Open banking facilitates data sharing consented by customers who generate the data, with a regulatory goal of promoting competition between traditional banks and challenger fintech entrants. We study lending market competition when sharing banks’ customer data enables better borrower screening or targeting by fintech lenders. Open banking could make the entire financial industry better off yet leave all borrowers worse off, even if borrowers could choose whether to share their data. We highlight the importance of equilibrium credit quality inference from borrowers’ endogenous sign-up decisions. When data sharing triggers privacy concerns by facilitating exploitative targeted loans, the equilibrium sign-up population …

Open Banking: Credit Market Competition When Borrowers Own The Data, Zhiguo He, Jing Huang, Jidong Zhou

Cowles Foundation Discussion Papers

Open banking facilitates data sharing consented to by customers who generate the data, with the regulatory goal of promoting competition between traditional banks and challenger fintech entrants. We study lending market competition when sharing banks’ customer transaction data enables better borrower screening. Open banking can make the entire financial industry better off yet leave all borrowers worse off, even if borrowers have the control of whether to share their banking data. We highlight the importance of the equilibrium credit quality inference from borrowers’ endogenous sign-up decisions. We also study extensions with fintech affinities and data sharing on borrower preferences.

A Secure Flexible And Tampering-Resistant Data Sharing System For Vehicular Social Networks, Jianfei Sun, Hu Xiong, Shufan Zhang, Ximeng Liu, Jiaming Yuan, Robert H. Deng

Research Collection School Of Computing and Information Systems

Vehicular social networks (VSNs) have emerged as the promising paradigm of vehicular networks that can improve traffic safety, relieve traffic congestion and even provide comprehensive social services by sharing vehicular sensory data. To selectively share the sensory data with other vehicles in the vicinity and reduce the local storage burden of vehicles, the vehicular sensory data are usually outsourced to vehicle cloud server for sharing and searching. However, existing data sharing systems for VSNs can neither provide secure selective one-to-many data sharing and verifiable data retrieval over encrypted data nor ensure that the integrity of retrieved data. In this paper, …

Brave New World: Privacy, Data Sharing And Evidence Based Policy Making, Rhonda S. Binda

Open Educational Resources

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities in particular are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, governments are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more …

Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay

Research Collection Yong Pung How School Of Law

The Centre for AI and Data Governance (CAIDG) at Singapore Management University (SMU) has embarked over past months on a programme of research designed to confront concerns about the pandemic and its control. Our interest is primarily directed to the ways in which AI-assisted technologies and mass data sharing have become a feature of pandemic control strategies. We want to know what impact these developments are having on community confidence and health safety. In developing this work, we have come across many myths that need busting.

Data Management (Or How I Learned To Love My Data): Reaching Graduate Students Through A Responsible Conduct Of Research Program, Sophia Lafferty-Hess, Ciara Healy

Transforming Libraries for Graduate Students

At Duke University there is a requirement for all graduate students to take a number of credits in courses called Responsible Conduct of Research (RCR). While faculty and staff members can be approved to teach these two hour workshops, librarians at Duke have in the last few years proposed several that cross disciplinary boundaries, such as the workshop on retractions in the science and social scientific literature as well as more discipline focused, such as Scholarly Publishing in East Asian Studies.

For our presentation we would like to focus on developing, delivering and evolving the RCR courses on data management. …

Development Of An International Data Repository And Research Resource: The Prospective Studies Of Acute Child Trauma And Recovery (Pact/R) Data Archive, Nancy Kassam-Adams, Justin A. Kenardy, Douglas L. Delahanty, Meghan L. Marsac, Richard Meiser-Stedman, Reginald D. V. Nixon, Markus A. Landolt, Patrick A. Palmieri

Pediatrics Faculty Publications

Background: Studies that identify children after acute trauma and prospectively track risk/protective factors and trauma responses over time are resource-intensive; small sample sizes often limit power and generalizability. The Prospective studies of Acute Child Trauma and Recovery (PACT/R) Data Archive was created to facilitate more robust integrative cross-study data analyses.

Objectives: To (a) describe creation of this research resource, including harmonization of key variables; (b) describe key study- and participant-level variables; and (c) examine retention to follow-up across studies.

Methods: For the first 30 studies in the Archive, we described study-level (design factors, retention rates) and participant-level …

Data Management Plans And Dmptool, Stacy L. Winchester

Faculty and Staff Publications

Many federal and private funders require a Data Management Plan, or DMP, as part of the grant application process. The University Libraries at the University of South Carolina provide a number of resources and services to faculty and students who need to write plans, including online guides, sample DMPs, and consultations. This presentation, from a workshop titled “Data Management Plans and DMPTool,” walks researchers through the history and components of Data Management Plans and exposes them to available resources, including DMPTool, an online tool that helps researchers write plans that meet specific funder requirements.

Libraries In An Age Of Data Science: Research Data Management Services [Webinar]., Carol Tenopir

DataONE Sociocultural and Usability & Assessment Working Groups

No abstract provided.

Best Practices For Data Sharing And Deposit For Librarian Authors, Regina Fisher Raboin, T. Scott Plutchak, Lisa A. Palmer, Julie Goldman

Lisa A. Palmer

Sharing data is now encouraged by major funding agencies, and many journals require it as a prerequisite for publication. While many of the hard science journals have implemented ‘Data Deposit Requirements’ and ‘Policies’, in the Library Science literature, publishers are beginning to move titles into open access journals, but data deposit requirements are just beginning to be addressed. Librarian authors will increasingly find themselves having to comply with data sharing policies. In this webinar, we look at examples from the Journal of the Medical Library Association and the Journal of eScience Librarianship and discuss best practices in data deposit.

Factors Affecting Psychologists’ Adoption Of An Open Data Badge, Lindsey M. Harper, Youngseek Kim

Lindsey M. Harper

The purpose of this research is to investigate the individual, normative and resource factors affecting psychologists’ adoption of an open data badge. The theory of planned behavior is employed as the theoretical framework to explain how these factors impact behavioral intention to adopt an open data badge. A national survey (n=341) of psychologists found that perceived benefits, norms of data sharing and attitude towards an open data badge had a significant positive relationship with attitude toward the open data badge, whereas perceived risk had a significant negative relationship. Perceived effort had a negative relationship to behavioral intention to adopt the …

Research Data Sharing: Practices And Attitudes Of Geophysicists, Carol Tenopir, Lisa Christian, Suzie Allard, Josh Borycz

DataONE Sociocultural and Usability & Assessment Working Groups

Open data policies have been introduced by governments, funders, and publishers over the past decade. Previous research showed a growing recognition by scientists of the benefits of data-sharing and reuse, but actual practices lag and are not always compliant with new regulations. The goal of this study is to investigate motives, attitudes, and data practices of the community of Earth and planetary geophysicists, a discipline believed to have accepting attitudes toward data sharing and reuse. A better understanding of the attitudes and current data-sharing practices of this scientific community could enable funders, publishers, data managers, and librarians to design systems …

Assisting Geophysicists In Data Management: Perceptions And Opportunities., Josh Borycz, Suzie Allard, Lisa Christian, Mike Frame, Carol Tenopir

DataONE Sociocultural and Usability & Assessment Working Groups

No abstract provided.

The Impact Of Research Data Sharing And Reuse On Data Citation In Stem Fields, Hyoungjoo Park

Theses and Dissertations

Despite the open science movement and mandates for the sharing of research data by major funding agencies and influential journals, the citation of data sharing and reuse has not become standard practice in the various science, technology, engineering and mathematics (STEM) fields. Advances in technology have lowered some barriers to data sharing, but it is a socio-technical phenomenon and the impact of the ongoing evolution in scholarly communication practices has yet to be quantified. Furthermore, there is need for a deeper and more nuanced understanding of author self-citation and recitation, the most often cited types of data, disciplinary differences regarding …

Data Is Approaching: The Changing Culture Of Data Citation, Elaboration, And Transparency Lies Ahead., Amy Louise Forrester, Robert J. Sandusky, Amy Schuler, Heather Staines

DataONE Sociocultural and Usability & Assessment Working Groups

No abstract provided.

Attitudinal, Normative, And Resource Factors Affecting Psychologists’ Intentions To Adopt An Open Data Badge: An Empirical Analysis, Lindsey M. Harper, Youngseek Kim

Librarian Research

The purpose of this research is to investigate the attitudinal, normative, and resource factors affecting psychologists’ adoption of an open data badge. The theory of planned behavior was employed to demonstrate how these factors influence behavioral intentions to adopt an open data badge. This research used a survey method to examine to what extent those attitudinal, normative, resource factors influence psychologists’ behavioral intentions to adopt an open data badge, and therefore engage in data sharing behaviors. A national survey (n = 341) across the field of psychology showed that perceived benefit and perceived risk had significant positive and negative relationships …

Factors Affecting Psychologists’ Adoption Of An Open Data Badge, Lindsey M. Harper, Youngseek Kim

Librarian Research

The purpose of this research is to investigate the individual, normative and resource factors affecting psychologists’ adoption of an open data badge. The theory of planned behavior is employed as the theoretical framework to explain how these factors impact behavioral intention to adopt an open data badge. A national survey (n=341) of psychologists found that perceived benefits, norms of data sharing and attitude towards an open data badge had a significant positive relationship with attitude toward the open data badge, whereas perceived risk had a significant negative relationship. Perceived effort had a negative relationship to behavioral intention to adopt the …

Improving Access And Utilization Of Data To Support Research And Programs Intended To Eliminate Disparities And Promote Health Equity, Rosaly Correa-De-Araujo

Journal of Health Disparities Research and Practice

Numerous Federal initiatives are addressing health and health care disparities. The ultimate goal is to achieve “a nation free of disparities in health and health care.” Social determinants of health remain mostly responsible for health/health care disparities among population groups within and between countries. In the United States, there is little evidence that disparities associated with such determinants are decreasing, with only 10% of those associated with race/ethnicity and income having demonstrated improvement in recent years. A variety of data sources are available from the Federal and private sectors to support research on disparities, but no single national survey seems …

Research Data Services: What Researchers Need And What Libraries Are Doing., Carol Tenopir

DataONE Sociocultural and Usability & Assessment Working Groups

No abstract provided.

Open Science: What, Why, And How?, Carol Tenopir

DataONE Sociocultural and Usability & Assessment Working Groups

No abstract provided.

Privacy, Trust, And Data Sharing In Web-Based And Mobile Research: Participant Perspectives In A Large Nationwide Sample Of Men Who Have Sex With Men In The United States, H. Jonathon Rendina, Brian Mustanski

Publications and Research

Background: Modern research is heavily reliant on online and mobile technologies, which is particularly true among historically hard-to-reach populations such as gay, bisexual, and other men who have sex with men (GBMSM). Despite this, very little empirical research has been published on participant perspectives about issues such as privacy, trust, and data sharing.

Objective: The objective of our study was to analyze data from an online sample of 11,032 GBMSM in the United States to examine their trust in and perspectives on privacy and data sharing within online and mobile research.

Methods: Participants were recruited via a social networking site …