-
Lee, D.J.; Stvilia, B.; Ha, S.; Hahn, D.: ¬The structure and priorities of researchers' scholarly profile maintenance activities : a case of institutional research information management system (2023)
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- Abstract
- Research information management systems (RIMS) have become critical components of information technology infrastructure on university campuses. They are used not just for sharing and promoting faculty research, but also for conducting faculty evaluation and development, facilitating research collaborations, identifying mentors for student projects, and expert consultants for local businesses. This study is one of the first empirical investigations of the structure of researchers' scholarly profile maintenance activities in a nonmandatory institutional RIMS. By analyzing the RIMS's log data, we identified 11 tasks researchers performed when updating their profiles. These tasks were further grouped into three activities: (a) adding publication, (b) enhancing researcher identity, and (c) improving research discoverability. In addition, we found that junior researchers and female researchers were more engaged in maintaining their RIMS profiles than senior researchers and male researchers. The results provide insights for designing profile maintenance action templates for institutional RIMS that are tailored to researchers' characteristics and help enhance researchers' engagement in the curation of their research information. This also suggests that female and junior researchers can serve as early adopters of institutional RIMS.
- Date
- 22. 1.2023 18:43:02
-
Ma, L.: Information, platformized (2023)
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- Abstract
- Scholarly publications are often regarded as "information" by default. They are collected, organized, preserved, and made accessible as knowledge records. However, the instances of article retraction, misconduct and malpractices of researchers and the replication crisis have raised concerns about the informativeness and evidential qualities of information. Among many factors, knowledge production has moved away from "normal science" under the systemic influences of platformization involving the datafication and commodification of scholarly articles, research profiles and research activities. This article aims to understand the platformization of information by examining how research practices and knowledge production are steered by market and platform mechanisms in four ways: (a) ownership of information; (b) metrics for sale; (c) relevance by metrics, and (d) market-based competition. In conclusion, the article argues that information is platformized when platforms hold the dominating power in determining what kinds of information can be disseminated and rewarded and when informativeness is decoupled from the normative agreement or consensus co-constructed and co-determined in an open and public discourse.
- Date
- 22. 1.2023 19:01:47
-
Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023)
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- Date
- 21. 3.2023 19:22:14
-
Haimson, O.L.; Carter, A.J.; Corvite, S.; Wheeler, B.; Wang, L.; Liu, T.; Lige, A.: ¬The major life events taxonomy : social readjustment, social media information sharing, and online network separation during times of life transition (2021)
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- Date
- 10. 6.2021 19:22:47
-
Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023)
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- Abstract
- During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta-research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID-19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data.
- Date
- 21. 3.2023 19:22:02
-
Hjoerland, B.: Table of contents (ToC) (2022)
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- Date
- 18.11.2023 13:47:22
-
Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023)
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- Date
- 23.11.2023 19:07:22
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Tang, R.; Mehra, B.; Du, J.T.; Zhao, Y.C.: Paradigm shift in the field of information (2021)
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-
Hofstadter, D.: Artificial neural networks today are not conscious (2022)
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- Content
- Vgl. auch: Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness..
-
Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness (2022)
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-
Xie, B.; He, D.; Mercer, T.; Wang, Y.; Wu, D.; Fleischmann, K.R.; Zhang, Y.; Yoder, L.H.; Stephens, K.K.; Mackert, M.; Lee, M.K.: Global health crises are also information crises : a call to action (2020)
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- Abstract
- In this opinion paper, we argue that global health crises are also information crises. Using as an example the coronavirus disease 2019 (COVID-19) epidemic, we (a) examine challenges associated with what we term "global information crises"; (b) recommend changes needed for the field of information science to play a leading role in such crises; and (c) propose actionable items for short- and long-term research, education, and practice in information science.
-
Fugmann, R.: What is information? : an information veteran looks back (2022)
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- Date
- 18. 8.2022 19:22:57
-
Verma, N.; Fleischmann, K.R.; Zhou, L.; Xie, B.; Lee, M.K.; Rich, K.; Shiroma, K.; Jia, C.; Zimmerman, T.: Trust in COVID-19 public health information (2022)
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- Abstract
- Understanding the factors that influence trust in public health information is critical for designing successful public health campaigns during pandemics such as COVID-19. We present findings from a cross-sectional survey of 454 US adults-243 older (65+) and 211 younger (18-64) adults-who responded to questionnaires on human values, trust in COVID-19 information sources, attention to information quality, self-efficacy, and factual knowledge about COVID-19. Path analysis showed that trust in direct personal contacts (B = 0.071, p = .04) and attention to information quality (B = 0.251, p < .001) were positively related to self-efficacy for coping with COVID-19. The human value of self-transcendence, which emphasizes valuing others as equals and being concerned with their welfare, had significant positive indirect effects on self-efficacy in coping with COVID-19 (mediated by attention to information quality; effect = 0.049, 95% CI 0.001-0.104) and factual knowledge about COVID-19 (also mediated by attention to information quality; effect = 0.037, 95% CI 0.003-0.089). Our path model offers guidance for fine-tuning strategies for effective public health messaging and serves as a basis for further research to better understand the societal impact of COVID-19 and other public health crises.
-
Cushing, A.L.; Kerrigan, P.: Personal information management burden : a framework for describing nonwork personal information management in the context of inequality (2022)
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- Abstract
- This research reports on qualitative interviews with 31 participants who are Irish parents, identify as lesbian, gay, bisexual, queer (LGBQ), and who expressed difficulty in the process of obtaining birth certificates for their children. Our aim was to use personal information management (PIM) and personal digital archiving (PDA) as a lens to explore the invisible work that the Irish government requires of a sexual minority parent group to obtain "equal" treatment in the birth registration and birth certificate process. Our findings suggest overlap with existing information behavior research (IB) that explore invisible information work, IB as a burden, information marginalization, information vulnerability, and information overload, and the everyday in IB. We propose a new framework: personal information burden (PIM-B) which is characterized by additional PIM activities, negative affect, lack of identity self extension to the personal information, and additional information seeking. We propose that a PIM-B may be used as an indicator of inequality in future research.
-
Jansen, B.; Browne, G.M.: Navigating information spaces : index / mind map / topic map? (2021)
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-
Morris, V.: Automated language identification of bibliographic resources (2020)
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- Date
- 2. 3.2020 19:04:22
-
Patin, B.; Sebastian, M.; Yeon, J.; Bertolini, D.; Grimm, A.: Interrupting epistemicide : a practical framework for naming, identifying, and ending epistemic injustice in the information professions (2021)
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- Abstract
- The information professions need a paradigmatic shift to address the epistemicide happening within our field and the ways we have systematically undermined knowledge systems falling outside of Western traditions. Epistemicide is the killing, silencing, annihilation, or devaluing of a knowledge system. We argue epistemicide happens when epistemic injustices are persistent and systematic and collectively work as a structured and systemic oppression of particular ways of knowing. We present epistemicide as a conceptual approach for understanding and analyzing ways knowledge systems are silenced or devalued within Information Science. We extend Fricker's framework by: (a) identifying new types of epistemic injustices, and (b) by adding to Fricker's concepts of Primary and Secondary Harm and introducing the concept of a Third Harm happening at an intergenerational level. Addressing epistemicide is critical for information professionals because we task ourselves with handling knowledge from every field. Acknowledgement of and taking steps to interrupt epistemic injustices and these specific harms are supportive of the social justice movements already happening. This paper serves as an interruption of epistemic injustice by presenting actions toward justice in the form of operationalized interventions of epistemicide.
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Koho, M.; Burrows, T.; Hyvönen, E.; Ikkala, E.; Page, K.; Ransom, L.; Tuominen, J.; Emery, D.; Fraas, M.; Heller, B.; Lewis, D.; Morrison, A.; Porte, G.; Thomson, E.; Velios, A.; Wijsman, H.: Harmonizing and publishing heterogeneous premodern manuscript metadata as Linked Open Data (2022)
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- Series
- JASIST special issue on digital humanities (DH): B. Infrastructures of DH
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Eschenfelder, K.R.; Shankar, K.; Downey, G.: ¬The financial maintenance of social science data archives : four case studies of long-term infrastructure work (2022)
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- Abstract
- Contributing to the literature on knowledge infrastructure maintenance, this article describes a historical longitudinal analysis of revenue streams employed by four social science data organizations: the Roper Center for Public Opinion, the Inter-university Consortium for Political and Social Research (ICPSR), the UK Data Archive (UKDA), and the LIS Cross-National Data Center in Luxembourg (LIS). Drawing on archival documentation and interviews, we describe founders' assumptions about revenue, changes to revenue streams over the long term, practices for developing and maintaining revenue streams, the importance of financial support from host organizations, and how the context of each data organization shaped revenue possibilities. We extend conversations about knowledge infrastructure revenue streams by showing the types of change that have occurred over time and how it occurs. We provide examples of the types of flexibility needed for data organizations to remain sustainable over 40-60 years of revenue changes. We distinguish between Type A flexibilities, or development of new products and services, and Type B flexibilities, or continuous smaller adjustments to existing revenue streams. We argue that Type B flexibilities are as important as Type A, although they are easily overlooked. Our results are relevant to knowledge infrastructure managers and stakeholders facing similar revenue challenges.
