Ethical challenges in online research: Public/private perceptions

Sugiura, Lisa; Wiles, Rose; Pope, Catherine

doi:10.1177/1747016116650720

Cited by 125 publications

(103 citation statements)

References 40 publications

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“…Consequently, researchers sharing data via specialized repositories seems to be the best option. Data anonymity is relevant because it facilitates data reuse, but, in some fields, it may lead to the context in which the data were collected being lost, and participants may not want to remain anonymous 65 . Regarding privacy and data protection, it seems there is a barrier to reusing data due to differing legislation between countries, as could happen in the case of data held by the European union 73 ; it may cause concern if researchers from one country reuse data from another country, if the data need to be reused for a purpose other than what was originally intended, or if they need to be recontextualised.…”

Section: Discussionmentioning

confidence: 99%

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Reusing Data Technical and Ethical Challenges

Boté¹,

Graells²

2019

DESIDOC Jl. Lib. Info. Technol.

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Research centres, universities and public organisations create datasets that can be reused in research. Reusing data makes it possible to reproduce studies, generate new research questions and new knowledge, but it also gives rise to technical and ethical challenges. Part of these issues are repositories interoperability to accomplish FAIR principles or issues related to data privacy or anonymity. At the same time, funding institutions require that data management plans be submitted for grants, and research tends to be increasingly interdisciplinary. Interdisciplinarity may entail barriers for researchers to reuse data, such as a lack of skills to manipulate data, given that each discipline generates different types of data in different technical formats, often non-standardized. Additionally, the use of standards to validate data reuse and better metadata to find appropriate datasets seem necessary. This paper offers a review of the literature that addresses data reuse in terms of technical, ethical-related issues.

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Section: Discussionmentioning

confidence: 99%

“…In addition, quoting online text may require permission as it may be tracked. Consequently, to reduce discoverability, some data can be summarized without losing meaning and other details altered or removed 65 .…”

Section: Anonymitymentioning

confidence: 99%

Reusing Data Technical and Ethical Challenges

Boté¹,

Graells²

2019

DESIDOC Jl. Lib. Info. Technol.

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“…We extracted a total of 258 original posts and their 1,445 corresponding comments from http://Babycenter.com's breastfeeding support forum posted over a 10‐day period in August 2017. Informed consent was not sought because this is a public forum and has been deemed neither possible nor necessary (Sugiura, Wiles, & Pope, ). We saved each conversation thread as an individual transcript and created a spreadsheet with the original post's title along with the number of corresponding comments for each conversation thread.…”

Section: Methodsmentioning

confidence: 99%

“Am I doing this wrong?” Breastfeeding mothers' use of an online forum

Lebron

George

Eckembrecher

et al. 2019

Maternal & Child Nutrition

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As mothers seek out information around breastfeeding, many are turning to online message boards, listservs, or social media for advice. Babycenter.com, a parenting website with widespread use, hosts a Breastfeeding Support and Help community forum with over 140,000 users and more than one million conversation threads.The purpose of this study is to examine this online support forum to understand the information seeking and sharing practices of its users. We extracted a total of 258 original posts and 1,445 corresponding comments from Babycenter.com's breastfeeding forum posted over a 10-day period. Using content analysis, we coded the posts into 15 categories reflective of the types of information users were seeking.We then randomly selected 45 conversation threads across the most popular categories to further understand how users were sharing information. The most popular breastfeeding topics for which users sought out information included feeding challenges, supply issues, feeding schedule and duration, pumping, physical health, excretion issues, storing milk, nipple issues, and general breastfeeding questions. Participants elicited information from others using interviewing questions and built consensus around issues by agreeing with previous posts. They shared their knowledge and personal breastfeeding experiences and also provided encouragement to continue breastfeeding and overcome challenges. Online support forums are actively being used by breastfeeding mothers seeking information from others with similar experiences. This presents an important resource for breastfeeding mothers and may, therefore, be an important component of future breastfeeding interventions. KEYWORDSbreastfeeding confidence, breastfeeding duration, breastfeeding knowledge, breastfeeding promotion, breastfeeding support, qualitative methods

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“…Despite the increasing use of online data in research, ethical guidelines have not yet received the required attention. In an attempt of reviewing the current frameworks and guidelines for conducting online research, Sugiura et al (2016) conclude that the present ethical guidance remains somewhat inconsistent and does not resolve the challenges regarding the issues of the informed consent, privacy and anonymity of informants. Hence, the first major challenge in using online data for research relates to ethical considerations.…”

Section: Challengesmentioning

confidence: 99%

Using online data and network-based text analysis in HRM research

Platanou

Mäkelä

Beletskiy

et al. 2017

JOEPP

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Purpose The purpose of this paper is to propose new directions for human resource management (HRM) research by drawing attention to online data as a complementary data source to traditional quantitative and qualitative data, and introducing network text analysis as a method for large quantities of textual material. Design/methodology/approach The paper first presents the added value and potential challenges of utilising online data in HRM research, and then proposes a four-step process for analysing online data with network text analysis. Findings Online data represent a naturally occuring source of real-time behavioural data that do not suffer from researcher intervention or hindsight bias. The authors argue that as such, this type of data provides a promising yet currently largely untapped empirical context for HRM research that is particularly suited for examining discourses and behavioural and social patterns over time. Practical implications While online data hold promise for many novel research questions, it is less appropriate for research questions that seek to establish causality between variables. When using online data, particular attention must be paid to ethical considerations, as well as the validity and representativeness of the sample. Originality/value The authors introduce online data and network text analysis as a new avenue for HRM research, with potential to address novel research questions at micro-, meso- and macro-levels of analysis.

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Ethical challenges in online research: Public/private perceptions

Cited by 125 publications

References 40 publications

Reusing Data Technical and Ethical Challenges

Reusing Data Technical and Ethical Challenges

“Am I doing this wrong?” Breastfeeding mothers' use of an online forum

Using online data and network-based text analysis in HRM research

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