Data sharing for the advancement of science: Overcoming barriers for citizen scientists

Williamson, Kate; Kennan, Mary Anne; Johanson, Graeme; Weckert, John

doi:10.1002/asi.23564

Cited by 21 publications

(12 citation statements)

References 41 publications

(77 reference statements)

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“…In other words, the location was considered low risk, hence, interacting with the other was deemed safe. This finding supports the argument that people tend to share information with one another at places they consider safe or low risk (Ibrahim and Allen, 2012;Williamson et al, 2016;Wilson, 2010). The finding also shows that place is not only a container of information sharing (Savolainen, 2009) but also an embodiment of the values and beliefs of the people.…”

Section: Discussionsupporting

confidence: 84%

How information sharing at information grounds helps reconnect a religiously divided society? Cafés, Christians and Muslims in Ambon, Indonesia

Rohman

2020

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PurposeDifferent worldviews have been posed as constraining to information sharing. Religion is one element that constitutes the way people view the world. In many countries, religion has become a source for violent conflicts. This study investigates how Christians and Muslims in Ambon, Indonesia shared information at cafes situated at border areas and it helped the two religious communities reconcile their different worldviews after over a decade of living in conflicts.Design/methodology/approachInformed by information grounds theory, this study analyzes data collected through a series of observation at three cafes situated at border areas and in-depth interviews with 31 informants. The analysis illuminates the processes that enable Christians and Muslims to exchange their different worldviews.FindingsThis study found that, after the conflict, Christian and Muslim communities longed for the interaction they had with the other as it was before the conflict. However, these same communities tended to remain in there religiously homogenous environments as there was a conception that the others' area was unsafe. Cafés at the borders became platforms to fulfill the need to meet with the other, promoting inter-religious interactions. At the cafés, an array of information was shared to establish mutual interests, from which more meaningful interpersonal relationships such as friendship and collaboration arose. Such relationships allowed regular visitors to exchange worldviews, re-stitching the broken social fabric in post-conflict Ambon.Originality/valueThis study expands the applicability of information grounds theory to the context of a religious conflict in Southeast Asia. It demonstrates processes of how continuous interactions at information grounds can gradually facilitate communities with adversarial relationships to exchange their different worldviews.

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Section: Discussionsupporting

confidence: 84%

How information sharing at information grounds helps reconnect a religiously divided society? Cafés, Christians and Muslims in Ambon, Indonesia

Rohman

2020

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“…On reading the literature, we also come to the view that there are still some barriers concerning the attitudes (i.e., hesitancy) of scientists when confronted with the use and collection of data by non-experts [3]. This supports previous experiments addressing aspects like data handling and preservation, responsibility (e.g., intellectual property), trust (perceptions of data quality), and lack of a shared disciplinary background [60]. Another set of contributions regards the study of complex work in crowd science [26].…”

Section: Open Issues In Crowd-ai Sciencesupporting

confidence: 75%

Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic Study

Correia¹,

Jameel²,

Schneider³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Researchers in a variety of fields are increasingly adopting crowdsourcing as a reliable instrument for performing tasks that are either complex for humans and computer algorithms. As a result, new forms of collective intelligence have emerged from the study of massive crowd-machine interactions in scientific work settings as a field for which there is no known theory or model able to explain how it really works. Such type of crowd work uses an open participation model that keeps the scientific activity (including datasets, methods, guidelines, and analysis results) widely available and mostly independent from institutions, which distinguishes crowd science from other crowdassisted types of participation. In this paper, we build on the practical challenges of crowd-AI supported research and propose a conceptual framework for addressing the socio-technical aspects of crowd science from a CSCW viewpoint. Our study reinforces a manifested lack of systematic and empirical research of the symbiotic relation of AI with human computation and crowd computing in scientific endeavors.

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“…Several studies have highlighted the importance of data sharing (Dallmeier-Tiessen et al, 2014;Williamson, Kennan, Johanson, & Weckert, 2016). Data sharing refers to "the voluntary provision of information from one individual or institution to another for purposes of legitimate scientific research" (Boruch, 1985, p. 89).…”

Section: Data Sharingmentioning

confidence: 99%

“…Previous research on data sharing has included studies on barriers and enablers of data sharing (Dallmeier-Tiessen et al, 2014;Tenopir et al, 2011;Williamson et al, 2016). For instance, Tenopir et al (2011) found that barriers to effective data sharing are rooted in the practice and culture of the research process as well as the researchers themselves.…”

Section: Data Sharingmentioning

confidence: 99%

Identifying the business model dimensions of data sharing: A value‐based approach

Arenas

Goh

Matthews

2019

Asso for Info Science & Tech

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This study aimed to investigate the underlying business model of organizations that have data sharing at the core of their activities. Previous work has stressed that data‐sharing projects need to be sustainable in the long term, and highlighted the need for a deeper understanding of the operation model of existing data‐sharing initiatives. To investigate this important issue, we took a qualitative approach to uncover the dynamics of value creation in data sharing. Using a case study method, we examined two data‐sharing sites across different areas. We conducted semistructured interviews with managers from data centers and other stakeholders, and reviewed documents about the technical and managerial practices to determine the main characteristics of their business models. In addition, we applied the e3‐value modeling methodology to tease out the value flows within each site. Our findings demonstrated the importance of the value network dimension of a business model, as data sharing relies on a set of actors creating and getting value in the process, and the significance of intangible assets. The main contributions of this study include extending current understanding on data‐sharing business models by analyzing key dimensions, and uncovering how value is created and transferred in data sharing.

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Data sharing for the advancement of science: Overcoming barriers for citizen scientists

Cited by 21 publications

References 41 publications

How information sharing at information grounds helps reconnect a religiously divided society? Cafés, Christians and Muslims in Ambon, Indonesia

How information sharing at information grounds helps reconnect a religiously divided society? Cafés, Christians and Muslims in Ambon, Indonesia

Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic Study

Identifying the business model dimensions of data sharing: A value‐based approach

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