scholarly journals Examining Data Repository Guidelines for Qualitative Data Sharing

2017 ◽  
Vol 13 (1) ◽  
pp. 61-73 ◽  
Author(s):  
Alison L. Antes ◽  
Heidi A. Walsh ◽  
Michelle Strait ◽  
Cynthia R. Hudson-Vitale ◽  
James M. DuBois

Qualitative data provide rich information on research questions in diverse fields. Recent calls for increased transparency and openness in research emphasize data sharing. However, qualitative data sharing has yet to become the norm internationally and is particularly uncommon in the United States. Guidance for archiving and secondary use of qualitative data is required for progress in this regard. In this study, we review the benefits and concerns associated with qualitative data sharing and then describe the results of a content analysis of guidelines from international repositories that archive qualitative data. A minority of repositories provide qualitative data sharing guidelines. Of the guidelines available, there is substantial variation in whether specific topics are addressed. Some topics, such as removing direct identifiers, are consistently addressed, while others, such as providing an anonymization log, are not. We discuss the implications of our study for education, best practices, and future research.

2020 ◽  
Vol 43 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Jessica Mozersky ◽  
Heidi Walsh ◽  
Meredith Parsons ◽  
Tristan McIntosh ◽  
Kari Baldwin ◽  
...  

Data sharing maximizes the value of data, which is time and resource intensive to collect. Major funding bodies in the United States (US), like the National Institutes of Health (NIH), require data sharing and researchers frequently share de-identified quantitative data. In contrast, qualitative data are rarely shared in the US but the increasing trend towards data sharing and open science suggest this may be required in future. Qualitative methods are often used to explore sensitive health topics raising unique ethical challenges regarding protecting confidentiality while maintaining enough contextual detail for secondary analyses. Here, we report findings from semi-structured in-depth interviews with 30 data repository curators, 30 qualitative researchers, and 30 IRB staff members to explore their experience and knowledge of QDS. Our findings indicate that all stakeholder groups lack preparedness for QDS. Researchers are the least knowledgeable and are often unfamiliar with the concept of sharing qualitative data in a repository. Curators are highly supportive of QDS, but not all have experienced curating qualitative data sets and indicated they would like guidance and standards specific to QDS. IRB members lack familiarity with QDS although they support it as long as proper legal and regulatory procedures are followed. IRB members and data curators are not prepared to advise researchers on legal and regulatory matters, potentially leaving researchers who have the least knowledge with no guidance. Ethical and productive QDS will require overcoming barriers, creating standards, and changing long held practices among all stakeholder groups.


2017 ◽  
Author(s):  
Dessi Kirilova ◽  
Sebastian Karcher

While data sharing is becoming increasingly common in quantitative social inquiry, qualitative data are rarely shared. One factor inhibiting data sharing is a concern about human participant protections and privacy. Protecting the confidentiality and safety of research participants is a concern for both quantitative and qualitative researchers, but it raises specific concerns within the epistemic context of qualitative research. Thus, the applicability of emerging protection models from the quantitative realm must be carefully evaluated for application to the qualitative realm. At the same time, qualitative scholars already employ a variety of strategies for human-participant protection implicitly or informally during the research process.In this practice paper, we assess available strategies for protecting human participants and how they can be deployed. We describe a spectrum of possible data management options, such as anonymization and applying access controls, including some already employed by the Qualitative Data Repository (QDR) in tandem with its pilot depositors. Throughout the discussion, we consider the tension between modifying data or restricting access to them, and retaining their analytic value. We argue that developing explicit guidelines for sharing qualitative data generated through interaction with humans will allow scholars to address privacy concerns and increase the secondary use of their data.


2020 ◽  
Vol 54 (8) ◽  
pp. 1817-1838
Author(s):  
Sarah Forbes ◽  
Mark Avis

Purpose Construct Creation (CC) is a methodological problem occurring when a research process, instead of measuring an extant construct in the participant’s mind, creates the construct. The purpose of this paper is to argue that CC derives from problems around ecologically invalid research and attitudinal responses developed on the spot, both resulting from self-generated validity. Design/methodology/approach A between-subjects design was used to explore whether the personification prime (PP), a component of brand personality (BP) methodology, influenced the CC of BP for rocks. Analysis of qualitative data on how participants made their BP ratings in the absence of a PP was also completed. Findings Findings revealed that a methodology can enable CC in the participant’s mind, despite the construct being ecologically invalid prior to them participating in the study. Analysis also revealed that participants will use varied, and sometimes elaborate, strategies to enable CC and provide researchers with the answers to their questions. Research limitations/implications Previous research has drawn attention to CC as a problem but the implications of prior research have so far been “sidestepped”. Consequently, this paper demonstrates CC and why it is a problem, while rebutting some arguments made in prior research for sidestepping CC. Practical implications CC is a potentially serious methodological problem that can result in invalid findings informing or misdirecting theory used by practitioners. As such, this paper proposes methods to ameliorate CC and improve ecological validity of future research. Originality/value This study will contribute to methodological literature by refocusing attention to the currently neglected problem of CC and by proposing a model of CC by participants.


2014 ◽  
Vol 1 (1) ◽  
pp. 13-26 ◽  
Author(s):  
Christopher G. Reddick

In electronic government or e-government research there is an increased importance being placed on the investigation of new and emerging technologies. Mobile government is one area that has received very little research, but can have a tremendous impact on the way that citizens engage with their government. This paper asks two research questions. First, what are the important factors that predict mobile government adoption by citizens? Second, are there any important distinctions between mobile government compared to other common cell phone activities? The data used to answer these questions is taken from a survey of cell phone users across the United States. The results indicated that mobile government adoption was best predicted by mobile phone use and social factors. Demographic factors, associated with the digital divide, were not found to be highly correlated with mobile government adoption. In addition, mobile government adoption is different from other online cell phone activities, such as going to a social networking site or getting a weather forecast online. The results of this paper imply that future research should study more closely the adoption of mobile government activities.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Masha Krsmanovic

The purpose of this systematic review was to identify the trends in empirical research on international students in the United States produced between 2010 and 2019. After reviewing and synthesizing the characteristics of 334 research articles published over the past decade, the author identified the areas that have been overly researched and the domains that have not yet been adequately explored. The overall findings of this review indicated that recent scholarly efforts were not always aligned with the international student representation on U.S. campuses. Consequently, the author generated nine critical recommendations for future research in the field. The recommendations were produced and presented in the context of overly- and under-researched institutional sites (i.e. institutional type and control), international student populations (i.e. academic level, field of study, and country of origin), research methods employed, and research questions examined.


Author(s):  
Angelica Risquez

A variety of anti-plagiarism software applications have appeared in recent years, but the pedagogical and institutional practices underpinning their use remains largely unexplored. It is essential to increase the amount of evidence-based literature that investigates the use of anti-plagiarism software in higher education. In the light of this, this chapter explores the integration of anti-plagiarism software in an Irish university since early 2006 and the progress made to date. We use data gathered from our own context to show how instructors are using this software to date, what trends emerge and what can be deduced about the adoption of the system to guide future research questions. Best practices are suggested for educators in order to help them to use anti-plagiarism software in proactive, positive, and pedagogically sound ways.


2018 ◽  
Vol 43 (04) ◽  
pp. 1542-1573 ◽  
Author(s):  
Mathilde Cohen

Despite the importance of judicial diversity for litigants and the broader public, no previous study has examined this issue within the French judiciary. This article begins to fill this gap by using original, qualitative data that shed light on judges’, prosecutors', and other legal actors' discourses on racial, ethnic, and sexual diversity. Its main contribution is to show that these legal professionals deploy three strategies—linguistic, institutional, and geographic—to dodge or downplay the relevance of race, ethnicity, and sexual orientation. The first, linguistic, form of avoidance lies in refusing to name and discuss race and ethnicity explicitly; the second, institutional, in denying that the judiciary has a diversity problem or that the problem lies within its power; and the third, geographic, consists in relegating the issue of diversity to distant places—the United States and overseas France. The article concludes by discussing key directions for future research.


Author(s):  
Haley S. Friedler ◽  
Michelle B. Leavy ◽  
Eric Bickelman ◽  
Barbara Casanova ◽  
Diana Clarke ◽  
...  

Executive Summary Patient registries are important tools for advancing research, improving healthcare quality, and supporting health policy. Registries contain vast amounts of data that could be used for new purposes when linked with other sources or shared with researchers. This toolkit was developed to summarize current best practices and provide information to assist registries interested in sharing data. The contents of this toolkit were developed based on review of the literature, existing registry practices, interviews with registries, and input from key stakeholders involved in the sharing of registry data. While some information in this toolkit may be relevant in other countries, this toolkit focuses on best practices for sharing data within the United States. Considerations related to data sharing differ across registries depending on the type of registry, registry purpose, funding source(s), and other factors; as such, this toolkit describes general best practices and considerations rather than providing specific recommendations. Finally, data sharing raises complex legal, regulatory, operational, and technical questions, and none of the information contained herein should be substituted for legal advice. The toolkit is organized into three sections: “Preparing to Share Data,” “Governance,” and “Procedures for Reviewing and Responding to Data Requests.” The section on “Preparing to Share Data” discusses the role of appropriate legal rights to further share the data and the need to follow all applicable ethical regulations. Registries should also prepare for data sharing activities by ensuring data are maintained appropriately and developing policies and procedures for governance and data sharing. The “Governance” section describes the role of governance in data sharing and outlines key governance tasks, including defining and staffing relevant oversight bodies; developing a data request process; reviewing data requests; and overseeing access to data by the requesting party. Governance structures vary based on the scope of data shared and registry resources. Lastly, the section on “Procedures for Reviewing and Responding to Data Requests” discusses the operational steps involved in sharing data. Policies and procedures for sharing data may depend on what types of data are available for sharing and with whom the data can be shared. Many registries develop a data request form for external researchers interested in using registry data. When reviewing requests, registries may consider whether the request aligns with the registry’s mission/purpose, the feasibility and merit of the proposed research, the qualifications of the requestor, and the necessary ethical and regulatory approvals, as well as administrative factors such as costs and timelines. Registries may require researchers to sign a data use agreement or other such contract to clearly define the terms and conditions of data use before providing access to the data in a secure manner. The toolkit concludes with a list of resources and appendices with supporting materials that registries may find helpful.


2021 ◽  
pp. 014920632110444
Author(s):  
Mark T. Bolinger ◽  
Matthew A. Josefy ◽  
Regan Stevenson ◽  
Michael A. Hitt

We review extant experimental work in strategic management and argue that experiments constitute an underused methodology that has significant potential. We examine and categorize 179 experiments from 119 published articles over a 20-year period, delineating the contributions of these experiments to the strategic management literature. In doing so, we identify topic areas in which experiments have been effectively deployed as well as several literature streams that have a limited amount of prior experimental research. We discuss specific challenges of using experiments in strategy research, especially given its strong focus on the firm level of analysis. We also emphasize approaches for how experiments can be instrumental in extending management theories and accelerating behavioral microfoundations of strategy research. In light of past contributions and gaps, we discuss specific opportunities and means of designing innovative experiments, propose novel potential research questions, and provide a best practices methodological guide that scholars can use when considering experimental designs. Overall, our work documents experimental research and provides a methodological practicum, thereby offering a platform for future experiment-based research in strategic management.


2017 ◽  
Vol 35 (4) ◽  
pp. 626-649 ◽  
Author(s):  
Wei Jeng ◽  
Daqing He ◽  
Yu Chi

Purpose Owing to the recent surge of interest in the age of the data deluge, the importance of researching data infrastructures is increasing. The open archival information system (OAIS) model has been widely adopted as a framework for creating and maintaining digital repositories. Considering that OAIS is a reference model that requires customization for actual practice, this paper aims to examine how the current practices in a data repository map to the OAIS environment and functional components. Design/methodology/approach The authors conducted two focus-group sessions and one individual interview with eight employees at the world’s largest social science data repository, the Interuniversity Consortium for Political and Social Research (ICPSR). By examining their current actions (activities regarding their work responsibilities) and IT practices, they studied the barriers and challenges of archiving and curating qualitative data at ICPSR. Findings The authors observed that the OAIS model is robust and reliable in actual service processes for data curation and data archives. In addition, a data repository’s workflow resembles digital archives or even digital libraries. On the other hand, they find that the cost of preventing disclosure risk and a lack of agreement on the standards of text data files are the most apparent obstacles for data curation professionals to handle qualitative data; the maturation of data metrics seems to be a promising solution to several challenges in social science data sharing. Originality/value The authors evaluated the gap between a research data repository’s current practices and the adoption of the OAIS model. They also identified answers to questions such as how current technological infrastructure in a leading data repository such as ICPSR supports their daily operations, what the ideal technologies in those data repositories would be and the associated challenges that accompany these ideal technologies. Most importantly, they helped to prioritize challenges and barriers from the data curator’s perspective and to contribute implications of data sharing and reuse in social sciences.


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