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Data Paper's Functions in Scholarly Communication Ecosystem as Perceived by Natural Scientists 自然科学家感知的数据论文在学术传播生态系统中的功能
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.920
Pao‐Pei Huang, Wei Jeng
ABSTRACT Data papers, a new class of scholarly publication emerging from the open‐science movement, foster data discovery and reuse by offering comprehensive descriptions of research data. Yet, despite their promising growth, the role of data papers in scholarly communication remains underexplored. This work therefore investigates the perceived contributions and functions of data papers to scholarly communication by interviewing 14 data‐paper authors operating in the field of natural science. Using conceptual frameworks adopted from Borgman (2007) and Van de Sompel et al. (2004), we identify four general functions of scholarly communication (i.e., legitimization; dissemination; access, preservation, and curation; and rewarding). Additionally, our data lead us to propose that verification is a distinct scholarly communication, underscoring the importance of data papers in validating research findings in the context of ensuring research transparency. By elucidating the crucial role that data papers now play within the scholarly communication ecosystem, this study seeks to raise the academic community's awareness of their fundamental position, as well as their co‐existence with other forms of data publication, in advancing scientific research.
数据论文是开放科学运动中出现的一种新型学术出版物,通过提供对研究数据的全面描述,促进数据发现和再利用。然而,尽管它们的发展前景良好,数据论文在学术交流中的作用仍未得到充分探索。因此,本研究通过采访14位在自然科学领域工作的数据论文作者,调查了数据论文对学术交流的贡献和功能。利用Borgman(2007)和Van de Sompel等人(2004)采用的概念框架,我们确定了学术交流的四个一般功能(即合法化;传播;获取、保存和管理;和奖励)。此外,我们的数据使我们提出验证是一种独特的学术交流,强调了数据论文在确保研究透明度的背景下验证研究结果的重要性。通过阐明数据论文在学术传播生态系统中发挥的关键作用,本研究旨在提高学术界对数据论文基本地位的认识,以及它们与其他形式的数据出版在推动科学研究方面的共存。
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引用次数: 0
A Preliminary Investigation of the Effects of Open Review on Citation Impact 开放评审对引文影响的初步研究
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.831
Tiantian Liang, Zhuosheng Zhong, Zhiya Zuo, Hui Li, Xi Wang
ABSTRACT This study investigates the impact of open review on citation counts of academic articles. By collecting articles published in the material science area of Nature Communications from 2014 to 2018, we exploit the adoption of voluntary open review in 2016 to examine how article citation counts are associated with open review using propensity score matching and regression analysis. OLS regression results show that open review comes at the expense of fewer citations received by articles. Specifically, open‐reviewed articles received 44% fewer citations than their non‐open‐reviewed counterparts. An additional mediation analysis reveals that this decrease in citations may be partially attributed to the lengthening of the review cycle of articles that were open reviewed–open‐reviewed articles experienced 16% longer review cycles; every 16% extension of the review cycle led to 5.8% fewer citations. Results remained qualitatively similar when we restricted the citation windows to three years since publication. Contrary to previous findings concerning the positive effects on articles’ citation impact, our preliminary results call for additional efforts in identifying the costs and benefits associated with open review.
摘要本研究探讨了开放审稿对学术论文被引次数的影响。通过收集2014 - 2018年发表在《自然通讯》材料科学领域的文章,我们利用2016年自愿开放审稿的采用,利用倾向得分匹配和回归分析来检验文章被引次数与开放审稿的关系。OLS回归结果显示,开放审稿的代价是文章被引用次数减少。具体来说,开放审评文章的引用次数比非开放审评文章少44%。另一项中介分析显示,引文减少的部分原因可能是开放评审文章的评审周期延长了——开放评审文章的评审周期延长了16%;评审周期每延长16%,引用量就会减少5.8%。当我们将引用窗口限制在发表后三年,结果在质量上仍然相似。与之前关于文章引用影响的积极影响的研究结果相反,我们的初步结果要求在确定开放评审的成本和收益方面付出更多的努力。
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引用次数: 0
What Is a Person? Emerging Interpretations of AI Authorship and Attribution 什么是人?对人工智能作者身份和归属的新解释
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.788
Heather Moulaison‐Sandy
ABSTRACT Recently, the scholarly community has been eagerly exploring how AI‐produced content should be integrated into both academic writing and scholarly publishing. This paper investigates the prevailing responses to the introduction of ChatGPT in November 2022 and the interest that has been afforded it by both the academy and the publishing industry. A review of the published literature on aspects of ChatGPT authorship was carried out, finding that government and the publishing industry have unequivocally asserted that large language models (LLMs) like ChatGPT do not possess the traits of a person and are not able to author texts as a result. Other approaches, including practice, have been less vehement. To assess the integration of instructions on referencing ChatGPT using APA, top Google hits in the .edu domain were collected and analyzed over a 6‐week period from March 14 to April 18, 2023, a time during which official recommendations of the APA Style were finalized. Findings reveal that librarians were quick to provide guidance, but slow to update that guidance, contributing to the potential for misunderstanding the affordances of and best practices for work with LLMs.
最近,学术界一直在热切地探索如何将人工智能生成的内容整合到学术写作和学术出版中。本文调查了对2022年11月引入ChatGPT的普遍反应,以及学术界和出版业对它的兴趣。对ChatGPT作者身份方面的已发表文献进行了回顾,发现政府和出版业毫不含糊地断言,像ChatGPT这样的大型语言模型(llm)不具备人的特征,因此无法撰写文本。其他方法,包括实践,都没有那么激烈。为了评估使用APA引用ChatGPT的说明的整合情况,在2023年3月14日至4月18日的6周时间里,我们收集并分析了。edu域名的顶级谷歌点击量,在此期间,APA风格的官方建议最终确定。调查结果显示,图书馆员提供指导的速度很快,但更新指导的速度很慢,这可能会导致对法学硕士工作的可行性和最佳实践的误解。
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引用次数: 0
Life and Times of Personal Information Management: Memento, Memory, or Memento Mori? 个人信息管理的生活与时代:记忆、记忆还是死亡的记忆?
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.867
Bhuva Narayan, Annemarie Zijlema, Vanessa Reyes
ABSTRACT This panel/round‐table discussion will explore contemporary challenges within our everyday personal information management practices when it comes to how we select, store, and prepare our life histories for ourselves and others. With all the affordances and access provided by digital technologies, we collect information across a variety of platforms, modes, and mediums, be they documents, text files, images, or audio. Not all of this information is meaningful to us in the long‐term, but nevertheless, some of our most valuable information does get entangled in this chaos. Issues discussed include maintaining, organizing, and accessing our information, not to mention how others access what we want to pass on to them. Challenges include technological obsolescence, privacy concerns, cultural and generational changes, family dynamics, and even memory loss as we age. We will also explore solutions and propose an ‘idea box’ for how we can prepare for the future of our personal information, such as creating and implementing information legacy plans, digitization, storage, and access permissions.
本次小组/圆桌讨论将探讨我们日常个人信息管理实践中面临的当代挑战,即我们如何为自己和他人选择、存储和准备我们的生活史。通过数字技术提供的所有支持和访问,我们通过各种平台、模式和媒介收集信息,无论是文档、文本文件、图像还是音频。从长远来看,并非所有这些信息对我们都有意义,但尽管如此,我们的一些最有价值的信息确实在这种混乱中纠缠在一起。讨论的问题包括维护、组织和访问我们的信息,更不用说其他人如何访问我们想要传递给他们的信息。挑战包括技术过时,隐私问题,文化和代际变化,家庭动态,甚至随着年龄的增长记忆力减退。我们还将探讨解决方案,并就如何为个人信息的未来做准备提出一个“想法盒”,例如创建和实施信息遗留计划、数字化、存储和访问权限。
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引用次数: 0
Exploring Applications and User Experience with Generative AI Tools: A Content Analysis of Reddit Posts on ChatGPT 用生成式人工智能工具探索应用程序和用户体验:ChatGPT上Reddit帖子的内容分析
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.823
Wonchan Choi, Yan Zhang, Besiki Stvilia
ABSTRACT As part of a larger project, this paper reports on preliminary findings of a study exploring use cases of ChatGPT and associated behaviors and experiences among users of an online forum. Posts on a ChatGPT‐related forum on Reddit ( n = 452) were analyzed using qualitative content analysis. This paper reports on themes relevant to this study, including the types of tasks for which users used ChatGPT, user experiences, and perceived impacts of ChatGPT. ChatGPT was often used to facilitate various writing tasks (e.g., writing an essay), academic tasks (e.g., finding scientific references for a research paper), everyday tasks (e.g., creating a meal plan), and conversational purposes (e.g., having a simulated conversation about a past event). Users expressed positive (e.g., excited, amazed) and negative (e.g., fooled, concerned) feelings toward the technology. They raised various issues and problems with ChatGPT at the content (e.g., inaccuracy, incompletes) and system (e.g., unavailability, instability) levels. Users discussed the perceived impacts of ChatGPT on individuals (e.g., unemployment) and society (e.g., AI divide). Study findings can inform the design of policies and guidelines for mitigating AI problems and promoting the effective and ethical use of emerging AI technologies.
作为一个更大项目的一部分,本文报告了一项研究的初步结果,该研究探索了ChatGPT的用例以及在线论坛用户的相关行为和体验。使用定性内容分析分析了Reddit上ChatGPT相关论坛上的帖子(n = 452)。本文报告了与本研究相关的主题,包括用户使用ChatGPT的任务类型、用户体验和ChatGPT的感知影响。ChatGPT通常用于促进各种写作任务(例如,写一篇文章),学术任务(例如,为研究论文寻找科学参考文献),日常任务(例如,制定膳食计划)和会话目的(例如,对过去的事件进行模拟对话)。用户对这项技术表达了积极的(如兴奋、惊讶)和消极的(如愚弄、关注)感受。他们提出了ChatGPT在内容(例如,不准确、不完整)和系统(例如,不可用性、不稳定性)层面上的各种问题和问题。用户讨论了ChatGPT对个人(如失业)和社会(如人工智能鸿沟)的感知影响。研究结果可以为政策和指导方针的设计提供信息,以减轻人工智能问题,促进新兴人工智能技术的有效和道德使用。
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引用次数: 0
Translating Research into Practice: Plain Language and Writing for Machine Translation Guidelines 将研究成果转化为实践:机器翻译指南的平实语言和写作
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.889
Lynne Bowker
ABSTRACT Scholars seek to translate research into practice through science communication, but the overwhelming use of English makes it challenging for some local community actors to access research findings. Machine translation (MT) tools can help, but the underlying data‐driven approach does not work equally well for all languages and domains. If plain language summaries can be rendered more MT‐friendly, this could make it easier for speakers of other languages to access research. This poster compares guidelines for plain language and guidelines for writing for MT to determine their compatibility and potential usefulness for creating reader‐ and MT‐friendly summaries.
学者们试图通过科学传播将研究成果转化为实践,但英语的广泛使用使得一些当地社区参与者难以获得研究成果。机器翻译(MT)工具可以提供帮助,但底层数据驱动的方法并不适用于所有语言和领域。如果简单的语言摘要可以被翻译得更友好,这将使其他语言的使用者更容易获得研究成果。这张海报比较了普通语言指南和机器翻译写作指南,以确定它们的兼容性和创建读者和机器翻译友好摘要的潜在有用性。
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引用次数: 0
Involving Older Users in Design of Patient Accessible Electronic Health Records: Exploring the Potential of Open‐Ended Questions 让老年用户参与设计患者可访问的电子健康记录:探索开放式问题的潜力
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.818
Kristina Eriksson‐Backa, Heidi Enwald, Noora Hirvonen, Isto Huvila
ABSTRACT Despite older adults being one of the most important groups of users of eHealth services, including patient accessible electronic health records, these are claimed to not be designed to suit older users, and to not necessarily fulfill their information needs. User‐centered design methods often utilized when developing eHealth services have also been claimed to not work well for older adults. This paper suggests an alternative way of collecting ideas and feedback on eHealth from older adults, by including open‐ended questions in the data collection of larger studies on eHealth information behavior. When data are collected by methods like focus group interviews and surveys, older adults can be requested to envision an eHealth service that suits their needs. Results from studies in Finland are presented, and show that current eHealth services do not fulfill all information needs of older adults, as answers to the question in both focus group interviews and surveys contain practical suggestions for additional and more comprehensible information, easier ways of searching for needed information, and alternative channels for communication. Open‐ended questions can be a cost‐effective and timesaving way to help in the design and development of patient accessible electronic health records and other types of eHealth services.
尽管老年人是电子健康服务(包括患者可访问的电子健康记录)最重要的用户群体之一,但据称这些服务的设计并不适合老年用户,也不一定满足他们的信息需求。在开发电子医疗服务时经常使用的以用户为中心的设计方法也被认为不适用于老年人。本文提出了一种从老年人那里收集关于电子健康的想法和反馈的替代方法,即在关于电子健康信息行为的大型研究的数据收集中包含开放式问题。当通过焦点小组访谈和调查等方法收集数据时,可以要求老年人设想适合他们需求的电子医疗服务。芬兰的研究结果表明,目前的电子保健服务并不能满足老年人的所有信息需求,因为焦点小组访谈和调查中的问题答案都包含了关于补充和更容易理解的信息的实际建议,搜索所需信息的更容易的方法,以及其他沟通渠道。开放式问题可以是一种具有成本效益和节省时间的方式,有助于设计和开发患者可访问的电子健康记录和其他类型的电子健康服务。
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引用次数: 0
Geofence Warrants, Geospatial Innovation, and Implications for Data Privacy 地理犯罪权证、地理空间创新和数据隐私影响
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.835
Catherine McGowan
ABSTRACT Geospatial technologies collect, analyze, and produce information about earth, humans, and objects through a convergence of geographic information systems, remote sensors, and global positioning systems. A microanalysis of Google's U .S. Patent 9,420,426 Inferring a current location based on a user location history (Duleba et al., 2016) reveals how geospatial innovation employs artificial intelligence (AI) to train computer‐vision models, infer, and impute geospatial data. The technical disclosures in patents offer a view within black‐boxed digital technologies to examine potential privacy implications of datafied citizens in a networked society. In patented geospatial innovation, user agency is subverted through AI and anonymous knowledge production. Presently, the Fourth Amendment does not adequately protect citizens in a networked society. Data privacy legal cases are interpreted through a lens of inescapability (Tokson, 2020), which assumes perpetual agency to consent to sharing data. In short, agency‐centered privacy models are insufficient where AI can anonymously produce knowledge about an individual. Privacy implications are exemplified in geofence warrants—an investigative technique that searches location history to identify suspects in a geofenced region in the absence of evidence. This analysis demonstrates that digital privacy rights must expand to datafication models (Mai, 2016) centered on knowledge production.
地理空间技术通过地理信息系统、遥感器和全球定位系统的融合,收集、分析和生成关于地球、人类和物体的信息。谷歌美国市场的微观分析。专利9,420,426基于用户位置历史推断当前位置(Duleba等人,2016)揭示了地理空间创新如何使用人工智能(AI)来训练计算机视觉模型,推断和计算地理空间数据。专利中的技术披露提供了一个黑箱数字技术的视角,以检查网络社会中数据化公民的潜在隐私影响。在地理空间专利创新中,人工智能和匿名知识生产颠覆了用户代理。目前,第四修正案并不能充分保护网络社会中的公民。数据隐私法律案件是通过不可避免的视角来解释的(Tokson, 2020),它假设永久代理同意共享数据。简而言之,在人工智能可以匿名获取个人信息的情况下,以机构为中心的隐私模型是不够的。地理隔离令是一种调查技术,在没有证据的情况下,通过搜索位置历史来识别地理隔离区域内的嫌疑人。这一分析表明,数字隐私权必须扩展到以知识生产为中心的数据化模型(Mai, 2016)。
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引用次数: 0
Multispecies Information Science 多物种信息科学
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.874
Niloofar Solhjoo, Steve Fuller, Jenna Hartel, Christopher Lueg, Dirk van der Linden
ABSTRACT Information is not just for humans. And humans do not only live with, care for or interact with other humans. Information Science, lagging behind most other social sciences, has not yet broached a public conversation about the multispecies turn. This panel aims to attract attention to the timely and important question of “What is Multispecies Information Science?” An introduction to the topic and key concepts will be established, followed by the provocative reflections on theoretical, methodological, ethical, and practical aspects of the topic. Panelists will bring their own examples of multispecies research, teaching, and design in Information Science and related fields. The discussion about the potential and implications of including Multispecies in Information Science would encourage empathy to non‐human animals we live with, and start a new turn in the field.
信息不仅仅是给人类的。人类不仅与他人生活在一起,关心他人或与他人互动。信息科学,落后于大多数其他社会科学,还没有引起关于多物种转向的公众讨论。本次专题讨论旨在引起人们对“什么是多物种信息科学?”这一及时而重要的问题的关注。将建立对主题和关键概念的介绍,然后是对该主题的理论,方法,伦理和实践方面的挑衅性反思。小组成员将带来他们自己在信息科学及相关领域的多物种研究、教学和设计的例子。关于将多物种纳入信息科学的潜力和影响的讨论将鼓励对与我们生活在一起的非人类动物的同情,并在该领域开启一个新的转折。
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引用次数: 0
Multilingual Knowledge Organization of Cultural Routes: The Case of the Grand Canal 文化路线的多语言知识组织:以大运河为例
Q3 Social Sciences Pub Date : 2023-10-01 DOI: 10.1002/pra2.983
Xinyue Wen, Shaobo Liang, Dan Wu
ABSTRACT This study collects heterogeneous information from multiple sources related to the Grand Canal, a cultural route in China, to construct a multilingual ontology of the Grand Canal. The research designs a data translation, optimization, and multilingual ontology construction method to reveal the internal and external characteristics and associations of the Grand Canal, which can provide users with multilingual and ordered knowledge of the cultural route, providing a feasible solution for digital preservation and global sharing of the cultural routes. On this basis, a multilingual knowledge service system is built.
摘要:本研究收集了与大运河这条中国文化之路相关的多种来源的异质信息,构建了大运河的多语言本体。本研究设计了一种数据翻译、优化和多语言本体构建方法,揭示大运河的内外部特征和关联,为用户提供多语言、有序的文化路线知识,为文化路线的数字化保存和全球共享提供可行的解决方案。在此基础上,构建了多语种知识服务系统。
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引用次数: 0
期刊
Proceedings of the Association for Information Science and Technology
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