Curation Services Research Articles

A hermeneutic dialogical understanding of data reuse across different access regimes

ABSTRACT Policy and scholarly discourse emphasizing the panacea of Open (research) Data shapes expectations, and directs and legitimizes investments in data technologies and infrastructures. This is driven by the hope that Open Data will quicken the pace of research and innovation through data reuse, and that they do so more effectively than other access regimes, such as stewarded and proprietary data. Drawing on Leonelli’s relational framework and Gadamer’s hermeneutical conceptualization of a horizon of meanings, data reuse can be understood as a fitting process. In the latter, a researcher engages in a hermeneutical dialogical interaction with the data’s affordances with the goal of making a scientific contribution. Moreover, the fitting process takes place within a researcher’s bounded individual horizon (BIH), defined as an intentional orientation towards the future; it is made up of the relations and circumstances that modulate each researcher’s unique situation. Seen thus, data reuse is likely to result from the persistence of a researcher’s desire or need to make a scientific contribution, independently of the data access regime. What is more, the necessary interaction between potential reusers and data curators or owners can open up the interpretive affordances of data in the context of proprietary and stewarded data, making data more mutable compared to the relative immutability of data in open repositories. Accordingly, stewarded data, with the proper curation and digital preservation services, might provide a more sustainable form of sharing and reusing data where privacy is at stake.

A Study on User Experience of Social Curation Service: Focusing on the Hashtag Function of Instagram

A Study on User Experience of Social Curation Service: Focusing on the Hashtag Function of Instagram

Repertoire of Medieval South Slavic Manuscripts and Scribes in Research Context

Research work, presented in this article, aims to create IT tools for the study and research of handwriting, transcription and writing in general. It provides tools for structuring, processing, managing, visualizing and analyzing this data, which greatly facilitates research and study processes. An online accessible digital repertorium (web-based software environment) has been developed, storing information about valuable manuscripts and copyists with significant contributions to the development of South Slavic languages, writing and culture. Each written resource is digitized and described according to a descriptive model based on the metadata available for it. Once entered into the digital repertorium, it can be discovered through a variety of context-based search and intelligent curation services. Tools are provided for detailed study and analysis of each letter and its element, detection of similarities between pairs of manuscripts - spelling of letters and their elements, tools to support the joint simultaneous work of researchers in the system and management of the process of description and structuring of data. The goal of the development is to reach and effectively use the vast amount of knowledge about the digitized written heritage by providing tools for higher adaptability and effective interaction between the researcher and the digital repertorium.

디즈니랜드와 에버랜드의 브랜드 경험 비교 연구

This study aims to explore the direction of development of domestic theme parks by reflecting the trend of increasing utilization of storytelling-based brand experience strategies. To this end, the app of Everland, Korea's leading brand, was compared with the official app of Disneyland, a global brand. According to the results, Disneyland's app has built a brand experience through an immersive storytelling strategy that allows Disney contents to be experienced in a physical space. And Everland's app built a brand experience with a storytelling strategy that was later formed in the process of developing from a natural farm to a complex resort. Disneyland app's magical experience storytelling strategy focuses on smooth progress on special days, removing complaints that hinder immersion in the experience, and leaving memories. On the other hand, apart from providing storytelling content, Everland's app focuses on customized curation, economical, fast, and convenient services that reflect customers' preferences. In conclusion, the difference between the storytelling strategies of the two brand experiences is clear. Therefore, if Everland re-examines the difference, it will find another opportunity. And the results will also provide important implications for the domestic theme park industry.

A Study on the Factors Affecting User Trust and Satisfaction : Focusing on the Online Fashion Curation Services

A Study on the Factors Affecting User Trust and Satisfaction : Focusing on the Online Fashion Curation Services

Understanding the value of curation: A survey of researcher perspectives of data curation services from six US institutions.

Data curation encompasses a range of actions undertaken to ensure that research data are fit for purpose and available for discovery and reuse, and can help to improve the likelihood that data is more FAIR (Findable, Accessible, Interoperable, and Reusable). The Data Curation Network (DCN) has taken a collaborative approach to data curation, sharing curation expertise across a network of partner institutions and data repositories, and enabling those member institutions to provide expert curation for a wide variety of data types and discipline-specific datasets. This study sought to assess the satisfaction of researchers who had received data curation services, and to learn more about what curation actions were most valued by researchers. By surveying researchers who had deposited data into one of six academic generalist data repositories between 2019-2021, this study set out to collect feedback on the value of curation from the researchers themselves. A total of 568 researchers were surveyed; 42% (238) responded. Respondents were positive in their evaluation of the importance and value of curation, indicating that the participants not only value curation services, but are largely satisfied with the services provided. An overwhelming majority 97% of researchers agreed that data curation adds value to the data sharing process, 96% agreed it was worth the effort, and 90% felt more confident sharing their data due to the curation process. We share these results to provide insights into researchers' perceptions and experience of data curation, and to contribute evidence of the positive impact of curation on repository depositors. From the perspective of researchers we surveyed, curation is worth the effort, increases their comfort with data sharing, and makes data more findable, accessible, interoperable, and reusable.

Biomedical publishing: Past historic, present continuous, future conditional.

Academic journals have been publishing the results of biomedical research for more than 350 years. Reviewing their history reveals that the ways in which journals vet submissions have changed over time, culminating in the relatively recent appearance of the current peer-review process. Journal brand and Impact Factor have meanwhile become quality proxies that are widely used to filter articles and evaluate scientists in a hypercompetitive prestige economy. The Web created the potential for a more decoupled publishing system in which articles are initially disseminated by preprint servers and then undergo evaluation elsewhere. To build this future, we must first understand the roles journals currently play and consider what types of content screening and review are necessary and for which papers. A new, open ecosystem involving preprint servers, journals, independent content-vetting initiatives, and curation services could provide more multidimensional signals for papers and avoid the current conflation of trust, quality, and impact. Academia should strive to avoid the alternative scenario, however, in which stratified publisher silos lock in submissions and simply perpetuate this conflation.

Daisy: An integrated repeat protein curation service

Tandem repeats in proteins identification, classification and curation is a complex process that requires manual processing from experts, processing power and time. There are recent and relevant advances applying machine learning for protein structure prediction and repeat classification that are useful for this process. However, no service contemplates required databases and software to supplement researching on repeat proteins. In this publication we present Daisy, an integrated repeat protein curation web service. This service can process Protein Data Bank (PDB) and the AlphaFold Database entries for tandem repeats identification. In addition, it uses an algorithm to search a sequence against a library of Pfam hidden Markov model (HMM). Repeat classifications are associated with the identified families through RepeatsDB. This prediction is considered for enhancing the ReUPred algorithm execution and hastening the repeat units identification process. The service can also operate every associated PDB and AlphaFold structure with a UniProt proteome registry.Availability: The Daisy web service is freely accessible at daisy.bioinformatica.org.

Do consumers always believe humans create better boxes than AI? The context-dependent role of recommender creativity

PurposeThe recent surge of subscription box services calls for research to understand how consumers respond to curation services. This study aims to develop and test a theoretical model to predict consumer response to AI (vs human). Particularly, the authors tested the role of stereotyping in shaping consumer perception of creativity in this context while considering the contextual moderators, shopping goals (hedonic vs utilitarian) and product category (fashion vs meal).Design/methodology/approachTwo preliminary studies and the main study (total n = 761) tested the assumptions and hypotheses of the study. Preliminary study 1 (n = 511 Amazon mTurk, online survey) confirmed consumer stereotypes of humans and machines. Preliminary study 2, a single-factor between-subjects online experiment (recommender: human vs AI), was conducted at a large Midwestern university in the US (n = 56). The main study was conducted as a 2(recommender: human vs AI) × 2(product: fashion vs meal) × 2(goal: utilitarian vs hedonic) between-subjects online experiment (n = 194, Amazon mTurk).FindingsThe results confirmed that consumers are more likely to follow recommendations made by a human more than recommendations made by AI and the perceived creativity of the recommender explained the effect. Significant differences across product categories and shopping goals of the consumers were observed, calling for attention to the context of consumption.Originality/valueThis study extends the understanding of consumers' responses to recommendations in curation subscription services by highlighting the role of perceived creativity of humans versus AI.

AWMC: Abnormal-Weather Monitoring and Curation Service Based on Dynamic Graph Embedding

This paper presents a system, namely, the abnormal-weather monitoring and curation service (AWMC), which provides people with a better understanding of abnormal weather conditions. The service can analyze a set of multivariate weather datasets (i.e., 7 meteorological datasets from 18 cities in Korea) and show (i) which dates are mostly abnormal in a certain city, and (ii) which cities are mostly abnormal on a certain date. In particular, the dynamic graph-embedding-based anomaly detection method was employed to measure anomaly scores. We implemented the service and conducted evaluations. Regarding the results of monitoring abnormal weather, AWMC shows that the average precision was approximately 90.9%, recall was 93.2%, and F1 score was 92.1% for all the cities.

Satisfaction Through Clothing Utilization and Environmental Sustainability Based on Fashion AI Curation Service

Satisfaction Through Clothing Utilization and Environmental Sustainability Based on Fashion AI Curation Service

A popularization of curation service for dermatological condition in Republic of Korea.

Consumer and advanced consumption culture in modern society is an era that focuses on individual personality and value, and "my own customized products", or customized marketing strategies, are actively being developed throughout the industry. Recently, IT technologies that can support personalized services such as artificial intelligence, ubiquitous systems, and marketing automation have been recognized for their potential, directly or indirectly affecting distribution industries affected by personal consumption culture. Accordingly, customized products or services, i.e., customization, are attracting attention as an effective methodology to cope with such market changes. Among the necessities used by modern women, cosmetics account for an endless interest in beauty and maintaining physical and mental health, and as the cosmetics market expands, it is considered that the cosmetics industry needs a clearer and in-depth study on the cosmetics submarket to satisfy consumers' diverse needs. This review paper is a literature review, and a narrative review approach has been used for this study. A total of 300 to 400 references were selected using representative journal search websites such as PubMed, Google Scholar, Scopus, ResearchGate, LitCovid, DBPia, and RISS, of which a total of 42 papers were selected in the final stage based on 2013 to 2022 using PRISMA flow diagram. This study suggested to indicate the changes in the cosmetics market due to the emergence of cosmetics curation services after the coronavirus disease-19 pandemic, advanced changes in consumer purchase patterns following the 4th Industrial Revolution, and significant future prospects of cosmetics curation services. As the beauty and cosmetology industry is expected to develop in the future, it will grow as a centerpiece of the beauty industry and symbolizes nationalized cultural pride. Therefore, this review article will be continuing to promote customization as a premium beauty service for dermatological condition in Republic of Korea through corporate analysis.

Human and Machine Working Together towards High Quality Specimen Data: Annotation and Curation of the Digital Specimen

The engine for our Distributed System of Scientific Collections (DiSSCo) is running! Core technical components supporting this new research infrastructure are currently being implemented and the engine that will support it is already working. Even though some nuts and bolts may still be missing, we aim to show it in action to present how it will enable annotation and curation of the Digital Specimen. The Digital Specimen is a technical implementation based on FAIR Digital Objects (FAIR stands for Findable, Accessible, Interoperable and Reusable) to support the Digital Extended Specimen concept (Webster et al. 2021). We will also present and demonstrate how we will implement standardized quality checks as they are being developed in Biodiversity Information Standards (TDWG) to enhance the quality of the data. DiSSCo is currently in its preparation phase. This phase will end in January 2023 with the completion of the DiSSCo Prepare project funded by the European Commission. Part of that project is the design of the Digital Specimen infrastructure, which is not an easy task considering the wide range of use cases, stakeholders and the many possibilities it offers. However, as we are moving towards the end of the project, we have defined clear goals and priorities to give shape to that infrastructure. This is where we take a fail fast approach: to quickly implement the proposed solution and see if it really fits. One of the major needs we want to support with the Digital Specimen infrastructure (based on collected user stories (Fitzgerald et al. 2021)) is to provide services for improving the quality and usability of specimen data. Our infrastructure aims to support annotating and community-curation of the data by both machines and users. Examples of these annotations are image-based determinations, automated- or citizen science-contributed label translations or the semi-automated linking with other biodiversity data. Semi-automated linking is currently being piloted as part of the Biodiversity Community Integrated Knowledge Library project (BiCIKL) and will use a process of link prediction through artificial intelligence in combination with human validation. Improvements in data quality made together by human and machine through the curation and annotation services will help in producing a digital specimen data object with high quality, curated and extended data. As part of the presentation we aim to give a live demonstration with the first setup in which we will ingest a dataset, run standardized quality checks and automated data enrichment services. The end result will be a digital specimen that we will present in a user-friendly interface, which has been validated by quality checks and annotated by both a human and a machine. The result will also be accessible as a FAIR Digital Object through an API. During the demonstration, we aim to give the audience a clear view on how DiSSCo can help them create higher quality specimen data, and how we will benefit in this process from the outputs of the TDWG Data quality tests and assertions taskgroup.

Research Data Preservation Practices of Library and Information Science Faculties


 Digitisation of research data is widely increasing all around the world because it needs more and development of enormous digital technologies. Data curation services are starting to offer many libraries. Research data curation is the collective invaluable and reusable information of the researchers. Collected data preservation is more important. The majority of the higher education institutes preserved the research data for their students and researchers. It is stored for a long time using various formats. It is called research data preservation. Without proper research data management plan and implementation cannot curate the research data. The aim of the study is to identify the Asian Library and Information Science (LIS) faculties’ experiences in the research data preservation and curation during their research. Data management, curation and preservation all are interlinked. For reuse of the research data; data curation is an essential role. For this research, we adopted a survey method and an online questionnaire was shared with 1400 LIS professionals, belonging to the Asian region but the completed study respondents are 125 university faculties from various Asian countries. The study findings are 76.8 per cent generated statistical data followed by 58.4 per cent textual files. By far, the most preferable data analysis tool is Microsoft Excel 82.4 per cent. Moreover, the result shows that generated data is mostly stored by personal computers and laptop hard disks. This study concludes LIS faculties having adequate skills and knowledge on data curation and preservation even though they are expecting more services from their academic institute libraries.

Impact of customer experience on attitude and utilization intention of a restaurant-menu curation chatbot service

客户体验对餐厅菜单策划聊天机器人服务态度和使用意图的影响研究目的本研究的目的是评估引入餐厅菜单管理 (RMC) 聊天机器人服务以帮助消费者快速有效地决定他们的餐厅或菜单选择的可能性。为此, 本研究衡量了消费者聊天机器人体验的特征, 并通过他们对餐厅菜单管理聊天机器人服务的态度来分析它们对未来接受意图的影响。研究设计/方法/途径研究由三部分组成; 开发餐厅菜单管理聊天机器人原型, 测试聊天机器人原型, 并根据经验进行客户调查。使用便利样本方法收集 368 名成年人的数据, 这些成年人在回答问卷之前尝试了 RMC 聊天机器人服务。 PLS-SEM 被用于测试提出的结构模型。研究发现结果表明, 除可用方面外, 所有体验特征都对聊天机器人的态度产生了显着的积极影响。 “可用性”、“有用”和“有价值”三个体验特征对使用意愿有显着的正向影响。对聊天机器人服务的态度也显着影响了使用意愿。研究限制/影响本研究的结果可以为在餐饮业建立策展服务提供实践和学术意义, 从而提高客户的接受度和使用意图。需要进行后续研究, 以探索和验证与接受 RMC 聊天机器人服务的意图相关的各种个人和心理因素。研究原创性/价值这项研究的重大意义在于它可以通过开发和测试外出就餐策展服务协议来评估在餐厅行业引入策展聊天机器人服务, 以帮助客户在信息技术 (IT) 方面做出明智的选择环境。

Exploring the Key Factors that Lead to Intentions to Use AI Fashion Curation Services through Big Data Analysis

Exploring the Key Factors that Lead to Intentions to Use AI Fashion Curation Services through Big Data Analysis

A model for mobile curation services in academic libraries

PurposeTo better respond to user needs for personalized information services in the context of academic libraries, this study aims at developing a prototype to provide mobile curation services by using the concept of content curation.Design/methodology/approachThis study used a mobile application software development process, which consisted of five phases: user and organizational requirements, architecture design, navigation design, page design and implementation and usability testing. Usability testing was conducted with a total of 20 college students by online surveys at a university.FindingsMeta-analysis identified key user needs: diversification of services, more personalized services, active communication with librarians, quality improvement of information and interface improvement. User and organizational requirements derived four main service modules – namely, Curation Services, Live Chat, My Page and My Log. Usability testing regarding ease of use, perceived usefulness and satisfaction indicated that participants were satisfied with the prototype.Research limitations/implicationsThe study extends the discussion of quality academic library services by introducing the concept of content curation that uses the advantages of mobile technologies to overcome existing limitations in library services insufficient for meeting individual user needs.Originality/valueAlthough many studies have discussed mobile library services, few studies have focused on developing a system for such services. The model developed in the study fills the research gap. Above all, the key modules specified by the prototype – Curation Services, Live Chat, My Page and My Log services – are expected to improve existing research and learning support services currently offered by academic libraries.

The Effect of Gender Perception of Online Fashion Platform and the Intention to Use Curation Service on the Attitude toward the Online Fashion Platform : Focusing on the moderating effect of consumers’ biological sex

This study investigates the influence of gender perception of online fashion platform, consumers’ biological sex, and the intention to use curation service (high/low) on consumers` attitude toward the online fashion platform. The gender perceptions of online fashion platforms were categorized into four types: masculine, feminine, androgynous, and genderless. For the study, online fashion platforms Musinsa, W Concept, and 29CM were selected. An online survey was conducted with 441 consumers aged 19-34. The three online fashion platforms were found to have different gender perception, Musinsa having significantly high masculinity and low femininity compared to the other two platforms. Results of one-way ANOVA revealed that gender perceptions of online fashion platforms had a significant effect on consumers’ attitude toward the fashion platform. Attitude was significantly high for the fashion platform that was perceived to be androgynous and was the lowest for the fashion platform that was perceived to be genderless. 3-way ANOVA was implemented to examine the interaction effects of gender perception, consumers’ biological sex and the intention to use curation service(high/low). Consumers` biological sex and gender perception had as significant interaction effects on the attitude toward the online fashion platform. Implications and suggestions for future research are discussed.

Research data stewardship at the University of Hong Kong

PurposeThe purpose of this paper is to look at the journey and experience of the University of Hong Kong (HKU) Research Data Management (RDM) practice to respond to the needs of researchers in an academic library.Design/methodology/approachThe research data services (RDS) practice is based on the FAIR data principle. And the authors designed the RDM Stewardship framework to implement the RDS step by step.FindingsThe HKU Libraries developed and implemented a set of RDS under a research data stewardship framework in response to the recent evolving research needs for RDM amongst the academic communities. The services cover policy and procedure settings for research data planning, research data infrastructure establishment, data curation services and provision of online resources and instructional guidelines.Originality/value This study provides an example of an approach to respond to the needs of the academic libraries about how to start the RDS including the data policy, data repository, data librarianship and data curation.

패션쇼핑 과정에서 큐레이션 서비스의 역할 : 만족의 조절된 매개효과

This study investigated the effects that motivation to use curation services had on perceived service quality, service satisfaction, purchase intention, and word of mouth (WOM) intention. In particular, the service satisfaction variable was verified to be a mediator in relation to the perceived service quality, purchase intention, and WOM intention, and this moderated mediation effect was verified by inserting the variables of product price and product quality satisfaction into the study. It was found that utilitarian motivation had a positive impact on both the perceived rapidity and accuracy of the service, and hedonic motivation was only significant in relation to the accuracy of service. In terms of how perceived service quality affects both purchase and WOM intentions, rapidity had a positive effect on purchase intention, but the relationship with WOM intention was insignificant; accuracy of service, however, showed a positive effect in relation to all variables. Furthermore, with the mediation effect of service satisfaction, it was shown that service satisfaction played a mediating role in the relationship between rapidity and accuracy, as well as between purchase and WOM intentions. Finally, as a result of checking the moderated mediation effects of product price satisfaction and product quality satisfaction, only price satisfaction had a significant moderating effect while service satisfaction mediated the relationship between purchase intention. This study differs from previous studies in that it conducted in-depth verification of the effects moderated by other variables as well as the simple mediating path of the service satisfaction variables. It is significant in that it presents theoretical implications and provides academic data in the fields of marketing and consumer behavior.