Preliminary Conference Agenda

Overview and details of the sessions of this conference. Please select a date or room to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

This agenda is preliminary and subject to change.

Only Sessions at Location/Venue 
 
 
Session Overview
Date: Sunday, 25/Mar/2018
1:30pm - 3:30pmiSchools Meeting 3: iSchools Regional Meeting - North America

This meeting of iSchools North America school heads is by invitation only.

Lecture Theatre 3 (Diamond) 
4:00pm - 5:30pmiSchools Meeting 4: Open Meeting to discuss future Program Initiatives with the iSchool Leadership
Session Chair: Sam Gyun Oh, Sungkyunkwan University

This meeting is open to all iConference participants

Lecture Theatre 3 (Diamond) 
Date: Monday, 26/Mar/2018
11:00am - 12:30pmCompleted Papers 2: Data Mining
Session Chair: Robert Jäschke, Humboldt-Universität zu Berlin
Lecture Theatre 3 (Diamond) 
 

Identifying the affective dimension of data mining practice: an exploratory study

Jo Bates, Jess Elmore

University of Sheffield, United Kingdom

The paper aims to illuminate how feeling, emotion and affect influence the practice of data mining. While data mining is sometimes presented as an objective, neutral technique by which to rationally understand and predict phenomena, we observe an important affective dimension in how people understand, engage in and respond to data mining practices. We report the findings of a small exploratory pilot study conducted in 2016 in which we used ethnographic meth-ods to observe the culture of a collaborative project between data scientists and a small digital marketing company. The project aimed to explore potential uses of data mining techniques in the process of telesales lead generation. Thematic analysis of collected data indicates that even in the case of a small scale project, the practice of mining data is deeply influenced by an underlying affective dimension. While these affective dynamics rarely surfaced explicitly in discussions between team members, it is clear from our interview data that feelings and emotions had a significant impact on how participants experienced and engaged with the practice of data mining. Our findings point to the necessity for a much deeper understand-ing of, and reflexivity in relation to, the affective dimension of data mining prac-tice and how it emerges in the cultures and practices of data science projects. We argue that a deeper awareness of, and openness about, this affective dimension could benefit practitioners’ understanding of their own practice and motivations in decision making, and thus has the potential to improve data science practice.


Data Retrieval = Text Retrieval?

Maryam Bugaje, Gobinda Chowdhury

Northumbria University, United Kingdom

Due to the comparatively more recent emergence of data retrieval systems than text-based search engines, the former have still yet to achieve similar maturity in terms of standards and techniques. Most of the existing solutions for data retrieval are more or less makeshift adaptations of text retrieval systems rather than purpose-built solutions specially designed to cater to the particular peculiarities, subtleties, and unique requirements of research datasets. In this paper we probe into the key differences between text and data retrieval that bear practical relevance to the retrieval question; these differences we demonstrate by evaluating some representative examples of research data repositories as well as presenting findings from previous studies.


Mining Open Government Data Used in Scientific Research

An Yan, Nic Weber

University of Washington, United States of America

In the following paper, we describe results from mining citations, mentions, and links to open government data (OGD) in peer-reviewed literature. We inductively develop a method for categorizing how OGD are used by different research communities, and provide descriptive statistics about the publication years, publication outlets, and OGD sources. Our results demonstrate that, 1. The use of OGD in research is steadily increasing from 2009 to 2016; 2. Researchers use OGD from 96 different open government data portals, with data.gov.uk and data.gov being the most frequent sources; and, 3. Contrary to previous findings, we provide evidence suggesting that OGD from developing nations, notably India and Kenya, are being frequently used to fuel scientific discoveries. The findings of this paper contribute to ongoing research agendas aimed at tracking the impact of open government data initiatives, and provides an initial description of how open government data are valuable to diverse scientific research communities.

 
1:30pm - 3:00pmiSchool Best Practices: Part 1 of 2
Session Chair: Ann-Sofie Axelsson, University of Borås
Lecture Theatre 3 (Diamond) 
 

Scholarly Journal Publishing Practices at Wuhan iSchool: Current Situation and Challenges

Jie Xu1, Ke Dong1, Anthony Watkinson2

1Wuhan University, China, People's Republic of; 2CIBER Research

The paper presents the current situation of the four journals that are published and hosted by Wuhan iSchool(School of Information Management) and then discusses the challenges faced by the school in regard to journal management. Particularly, the efforts and measurements that Wuhan iSchool takes for overcoming all the difficulties and challenges of improving the quality of the journals has been described . Based on the individual experiences of the two authors who are working as editors and project developers of these journals, the Wuhan iSchool’s experience and lessons in running academic journals are thoroughly discussed so that other iSchools can learn from this example.


Professional Identity Formation: Can there be a best practice?

Jenny Bunn, Andy Dawson, Charles Inskip

University College London, United Kingdom

This paper seeks to examine existing conceptualisations of professional identity and to examine the question of whether or not, and how, its formation might be considered best practice within an interdisciplinary iSchool environment. Using the Department of Information Studies (DIS) at University College London as a case study, it exposes the complexities and challenges which lie within the application of this concept, whilst also making suggestions for how it might nonetheless be approached in practice. DIS is responsible for five programmes at Masters’ level; Publishing, Digital Humanities, Information Science, Library and Information Studies and Archives and Records Management and has arguably been an iSchool since library education was first offered by UCL in 1919.


Incorporation Service-Learning in an Information Service-Marketing Course: A Reading Promotion Program in a Community Library for Migrant Children

Qiong Tang, Qingbin Zeng, Rina Su

Sun Yat-sen University, China, People's Republic of

Information Service-Marketing education provides students skills to identify and develop strategic marketing initiatives which enable them to build branding and promotional strategies. As an increasingly popular and distinct form of experiential learning, service learning is an effective pedagogy to achieve the course goals. This article provides a case study of a service learning program in Information Service-Marketing in the iSchool at the Sun Yat-sen University. Students organized several reading promotion activities in a community library, and most of the users of this library is migrant children. Through the service learning program, students learn to put what they have learned into practice, and obtain a professional identity, values, and service spirit.

 
3:30pm - 5:00pmCompleted Papers 6: Mobile Information
Session Chair: Deborah H. Charbonneau, Wayne State University
Lecture Theatre 3 (Diamond) 
 

Potentials of Smart Breathalyzer: Interventions for Excessive Drinking Among College Students

Aehong Min1, Daehyoung Lee2, Patrick C. Shih1

1Department of Informatics, Indiana University Bloomington, United States of America; 2Department of Kinesiology, Indiana University Bloomington, United States of America

Excessive drinking among college students is a significant public health issue. Electronic Screening Brief Intervention (e-SBI) has been shown to be an effective prevention tool, and it has been implemented on personal computers, web, mobile phones and social networking platforms. In this research, we asked college students to discuss about their perception of BACtrack Mobile Pro, the FDA-approved and consumer-oriented smart breathalyzer. We recruited 15 college students who have consumed alcohol regularly, asked them to use the smart breathalyzer for two weeks, and conducted pre- and post-study surveys and interviews. We identified five barriers with design opportunities for the smart breathalyzer: (1) Support from immediate family members or close friends, (2) Personalized results, (3) Intuitive status display, (4) Accessorizing the form factor, and (5) Quicker access. Future mobile and smart wearable e-SBI interventions targeted at college students should take these design considerations into account.


Privacy Attitudes and Data Valuation Among Fitness Tracker Users

Jessica Vitak1, Yuting Liao1, Priya Kumar1, Michael Zimmer2, Katie C. Kritikos2

1University of Maryland, United States of America; 2University of Wisconsin-Milwaukee, United States of America

Fitness trackers are an increasingly popular tool for tracking one’s health and physical activity. While research has evaluated the potential benefits of these devices for health and well-being, few studies have empirically evaluated users’ behaviors when sharing personal fitness information (PFI) and the privacy concerns that stem from the collection, aggregation, and sharing of PFI. In this study, we present findings from a survey of Fitbit and Jawbone users (N=361) to understand how concerns about privacy in general and user-generated data in particular affect users’ mental models of PFI privacy, tracking, and sharing. Findings highlight the complex relationship between users’ demographics, sharing behaviors, privacy concerns, and internet skills with how valuable and sensitive they rate their PFI. We conclude with a discussion of opportunities to increase user awareness of privacy and PFI.


Digital nomads beyond the buzzword: Defining digital nomadic work and use of digital technologies

Caleece Evyn Nash, Mohammad Hossein Jarrahi, Gabriela Phillips, William Sutherland

University of North Carolina at Chapel Hill, United States of America

Digital nomadicity has gained popularity in recent years as a fashionable lifestyle and as a way of challenging traditional work contexts, but there has been very little incisive empirical research on the lifestyle’s characteristics, its implications for the future of work, or on the technology, which supports it. This paper describes the four key elements that constitute the work of digital nomads: 1) digital work, 2) gig work, 3) nomadic work, and 4) adventure and global travel. We present digital nomads as a community of workers situated at the confluence of these four elements and define how each of these are enabled by the use of digital technologies. This research serves as a foundation for information studies concerned with the dynamic and changing relationships between future of work, new population of workers (digital natives) and emerging digital platforms.

 
5:00pm - 6:30pmSponsor Session 1: Open access to drive change
Session Chair: Eileen Breen, Emerald Publishing
Lecture Theatre 3 (Diamond) 
Date: Tuesday, 27/Mar/2018
11:00am - 12:30pmCompleted Papers 8: Data Science
Session Chair: Jahna Otterbacher, Open University of Cyprus
Lecture Theatre 3 (Diamond) 
 

Research on fine-grained linked data creation for papers stored in digital library

Jing Huang1, Zhongyi Wang2

1Wuhan Polytechnic, Wuhan, Hubei ,China, People's Republic of; 2Central China Normal University, Wuhan, Hubei, China, People's Republic of

The best practices for publishing linked data have been adopted by an increasing number of libraries, leading to the creation of a global data space-the web of digital library data. However, in library linked data publishing, most of the existing researches mainly focus on structured and semi-structured digital library resources (for example catalogue data). Researches on publishing unstructured digital library resources (for example: contents of papers) are seldom. In order to overcome this problem, this paper proposes a fine-grained linked data creation method to publish the papers stored in digital libraries into linked data. At last, in order to evaluate this method, this paper conducted an experiment on the papers on “text segmentation”. From the experiment results we find that our fine-grained linked data creation method is feasible and will promote the opening access to digital libraries resources.


Earth Science Data Management: Mapping Actual Tasks to Conceptual Actions in the Curation Lifecycle Model

Bradley Wade Bishop, Carolyn Hank

University of Tennessee, United States of America

Earth science, like other data intensive sciences, requires data that are discoverable and usable by a variety of designated communities for a multitude of purposes in our transforming digital world. Data must be collected, documented, organized, managed, and curated with data sharing in mind. Actual, rather than supposed, practices of data managers provide insight into how earth science data are preserved and made available, and the requisite skills required to do so. This study’s purpose is to explore the job practices of earth science data managers as they relate to the data lifecycle. Twelve earth science data managers were interviewed using a job analyses approach focused on job tasks and their frequencies. Data managers identified tasks related to preservation and curation in the data lifecycle, though the most mentioned tasks do not relate directly to sequential actions in the data lifecycle, but rather are more oriented toward full-life cycle actions. These are communication and project management activities. Data managers require domain knowledge of science and management skills beyond the data lifecycle to do their jobs. Several tasks did relate to the data lifecycle, such as data discovery, and require an understanding of the data, technology, and information infrastructures to support data use, re-use and preservation. Most respondents lacked formal education, acquiring necessary skills through informal, self-directed study or professional training, indicating opportunity for integrating information science and data management curriculum in disciplinary academic programs.


Limits to the Pursuit of Reproducibility: Emergent Data-Scarce Domains of Science

Peter Darch

University of Illinois at Urbana-Champaign, United States of America

Recommendations and interventions to promote reproducibility in science have so far largely been formulated in the context of well-established do-mains characterized by data- and computationally-intensive methods. How-ever, much promising research occurs in little data domains that are emergent and experience data scarcity. This paper presents a longitudinal study of such a domain, deep subseafloor biosphere research. Two important challenges this domain faces in establishing itself are increasing production and circulation of data, and strengthening relationships between domain re-searchers. Some potential interventions to promote reproducibility may al-so help the domain to establish itself. However, other potential interventions could profoundly damage the domain’s long-term prospects of maturation by impeding production of new data and undermining critical relationships between researchers. This paper challenges the dominant framing of the pursuit of reproducible science as identifying, and overcoming, barriers to reproducibility. Instead, those interested in pursuing reproducibility in a domain should take into account multiple aspects of that domain’s epistemic culture to avoid negative unintended consequences. Further, pursuing reproducibility is premature for emergent, data-scarce domains: scarce resources should instead be invested to help these domains to mature, for instance by addressing data scarcity.

 
3:30pm - 5:00pmiSchools Meeting 5a: Annual Business Meeting, part 1 of 2
Session Chair: Sam Gyun Oh, Sungkyunkwan University

All iSchools heads of schools are invited. This meeting is not open to observers.

Lecture Theatre 3 (Diamond) 
5:00pm - 6:30pmiSchools Meeting 5b: Annual Business Meeting, part 2 of 2
Session Chair: Sam Gyun Oh, Sungkyunkwan University

All iSchools heads of schools are invited. This meeting is not open to observers.

Lecture Theatre 3 (Diamond) 
Date: Wednesday, 28/Mar/2018
9:00am - 10:30amEarly Career Colloquium Part 1 of 2
Session Chair: Kalpana Shankar, University College Dublin
Lecture Theatre 3 (Diamond) 
11:00am - 12:30pmEarly Career Colloquium Part 2 of 2
Session Chair: Kalpana Shankar, University College Dublin
Lecture Theatre 3 (Diamond) 

 
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