11:00am - 11:15amID: 124
/ PS-08: 1
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
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 - 11:25amID: 126
/ PS-08: 2
Topics: Social Media and Social ComputingKeywords: 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
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 - 11:35amID: 146
/ PS-08: 3
Topics: Library and Information ScienceKeywords: Linked Data, Name authorities, Title authorities, Data modelling
A Person-Agent and Related Information Resources: A Case Study of Complex Relationships
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 - 11:45amID: 222
/ PS-08: 4
Topics: Archives; Data Curation; and PreservationKeywords: Research Data, Academic Library, Research Data Management, Research Data Service
Academic Library’s Leadership and Stakeholder Involvement in Research Data Services
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 - 11:55amID: 257
/ PS-08: 5
Topics: Archives; Data Curation; and PreservationKeywords: data management plans, evaluation, metadata
Data Management Plan Scorecard
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.