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Session Overview
Session
Paper Session 08: Data Management [SDGs 1-17]
Time:
Monday, 26/Oct/2020:
11:00am - 12:30pm

Session Chair: Rong Tang, Simmons College, United States of America

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Presentations
11:00am - 11:15am
ID: 124 / PS-08: 1
Long Papers
Topics: Human Computer Interaction (HCI)
Keywords: Personas, web analytics, persona development; data-driven personas; design methods

From Flat File to Interface: Synthesis of Personas and Analytics for Enhanced User Understanding

Bernard "Jim" Jansen, Joni O. Salminen, Soon-gyo Jung

Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

to analytics data, personas are more and more generated from online user statistics using big data and algorithmic approaches. This integration offers new opportunities to shift personas from flat files of data presentation to that of interactive interfaces for analytics systems. We illustrate this transition towards the concept of ‘persona as interface’ with a persona analytics system, Automatic Persona Generation (APG). In pushing advancements of both persona and analytics conceptualization, development, and use, the APG system presents a multi-layered ‘full-stack’ integration. APG affords three levels of user data presentation, which are (a) the conceptual persona, (b) the analytical user metrics, and (c) the foundational user data. Moving to a ‘personas as interfaces’ approach offers the benefits of both personas and analytics systems and addresses some of the shortcomings of each. We provide results from user experiments of and use cases for APG. The result is a better tool than either persona or analytics along for user understanding.



11:15am - 11:25am
ID: 126 / PS-08: 2
Short Papers
Topics: Social Media and Social Computing
Keywords: Community Question-Answering, Framing Theory, Response Network, Information Sharing, Social Net-work Analysis

Generating Collective Online Information Sharing: The Framing Effect of Questions on Response Networks

Qian Wu, Dion Hoe-Lian Goh, Chei Sian Lee

Nanyang Technological University, Singapore

Community Question-Answering (CQA) sites are virtual communities where users participate in collec-tive online information sharing. Questions in CQA sites serve as starting points for information sharing, eliciting a response network (RN), where nodes are the postings, while edges represent the responses be-tween postings. This research employed framing theory to investigate how question frames affected their resulting RNs. Question frames were operationalized as conversational and informational. Social network analysis was conducted to explore the RNs of different question frames for both Science, Technology, En-gineering and Mathematics (STEM) and non-STEM communities. Results revealed that most RNs of STEM conversational questions were larger in size and had higher centrality, whereas RNs of informational ques-tions comprised closer relationships between postings. However, no significant differences were found in the non-STEM community. Our research suggests that community moderators and askers should appropri-ately utilize question frames to organize information sharing inside CQA communities.



11:25am - 11:35am
ID: 146 / PS-08: 3
Short Papers
Topics: Library and Information Science
Keywords: Linked Data, Name authorities, Title authorities, Data modelling

A Person-Agent and Related Information Resources: A Case Study of Complex Relationships

Hur-Li Lee, Margaret Kipp, Li Yang

University of Wisconsin-Milwaukee, USA

Identifying and mapping relationships is of increasing importance as many cultural heritage institutions work to model data in Linked Data (LD) format. As a pilot of a larger LD project, this study examines relationships between information resources, between person-agents and resources, and between person-agents, in order to improve description and access to information related to persons and resources. We used a case-study approach to identify new and previously-defined relationships in bibliographic records associated with a person-agent. To find a case that exhibits complex relationships, we selected Lin Huiyin (林徽因), a famous Chinese architect, architectural historian, poet, artist, designer, and writer in the 20th century. We collected 903 records using WorldCat and China Academic Library & Information System. We applied a coding scheme consisting of relationship categories from several existing taxonomies. In the analysis, additional relationships emerged, which were then added to the coding scheme. Our next step is to broaden the scope of the case by examining other types of resources outside libraries such as Lin’s architectural works. Further studies of complex cases will allow us to refine our taxonomy and develop an LD model for relationships between resources and person-agents.



11:35am - 11:45am
ID: 222 / PS-08: 4
Short Papers
Topics: Archives; Data Curation; and Preservation
Keywords: Research Data, Academic Library, Research Data Management, Research Data Service

Academic Library’s Leadership and Stakeholder Involvement in Research Data Services

Jeonghyun Kim

University of North Texas, USA

In the last decade, academic libraries have made progress in establishing themselves as hubs and leaders for research data services on campus. The importance of collaborating with a range of institutional stakeholders, such as the research or information technology office, as well as external partners in developing and delivering research data policy, services, and infrastructure, has been well-documented. However, there is less evidence as to how libraries play a crucial role in leadership, whether other stakeholders’ involvement actually makes a difference and if so, how they make a difference. As such, the goal of this study is to explore the academic library’s leadership role in research data services and how collaboration and partnership with stakeholders and interested parties might impact the maturity of the research data services the library provides. The secondary analysis of the existing survey data found that libraries offer more mature services when they take a primary responsibility in developing the services. It also found internal stakeholders’ and external partners’ involvement leads to more mature services in the selected activities.



11:45am - 11:55am
ID: 257 / PS-08: 5
Short Papers
Topics: Archives; Data Curation; and Preservation
Keywords: data management plans, evaluation, metadata

Data Management Plan Scorecard

Bradley W. Bishop1, Heather Moulaison2, Judit Ungvari3,4, Hannah C. Gunderman5

1University of Tennessee, USA; 2University of Missouri, USA; 3Belmont Forum, Uraguay; 4Florida Museum of Natural History, USA; 5Carnegie Mellon University, USA

Data and how that data are organized, accessed, and used, remain central to the advancement of science, as evidenced through calls for reproducibility and demands to enable re-use. Data management plans describe the roles, responsibilities, and activities for managing data during and after research. This paper presents the development of a data management plan scorecard. The assessment of data management plans provides one measure to evaluate how data are planned to be shared and a first step down the road towards shareable data. The scorecard provides a widely-applicable, scalable, and simple tool to assess completeness and quality of fifteen data elements commonly required in all data management plans.



 
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