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Journal articles on the topic 'Information sciences'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Lakshmi, Dr I. "Emerging Directions and Current Activities Social Informatics in the Information Sciences." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 530–34. http://dx.doi.org/10.31142/ijtsrd9463.

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2

Sukiasyan, Eduard R. "Information Science in the System of Sciences." Bibliotekovedenie [Library and Information Science (Russia)], no. 5 (November 7, 2013): 28–31. http://dx.doi.org/10.25281/0869-608x-2013-0-5-28-31.

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There is given the expanded definition of the Informatics, basing upon the results of generalization of data of the sociological survey among scientists and experts, having participated in the Workshop “Methodological Problems of the Information Sciences”. The work was carried out in the interests of the adequate reflection of Informatics in the developing Section 1 “Interdisciplinary and General Scientific Knowledge” of the Library Bibliographic Classification (LBC).

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3

Didenko, Yu V., A. I. Radchenko, and N. V. Koval. "Information System Web Of Sciences: Mirror Or Tool?" Science and innovation 12, no. 6 (November 30, 2016): 70–78. http://dx.doi.org/10.15407/scine12.06.070.

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4

Cervone, H. Frank. "Informatics and data science: an overview for the information professional." Digital Library Perspectives 32, no. 1 (February 8, 2016): 7–10. http://dx.doi.org/10.1108/dlp-10-2015-0022.

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Purpose – This paper aims to describe the emerging field of data science, its significance in the larger information landscape and some issues that distinguish the problems of data science and informatics from traditional approaches in the information sciences. Design/methodology/approach – Through a general overview of the topic, the author discusses some of the major aspects of how work in the data sciences and informatics differ from traditional library and information science. Findings – Data science and informatics, as emerging fields, are expanding our understanding of how the massive amount of information currently being generated can be collected, managed and used. While these may not be traditional “library” problems, the contributions of the library and information science communities are critical to help address aspects of these issues. Originality/value – The emerging fields of data science and informatics have not been extensively explored from the perspective of the information professional. This paper is designed to help information professionals better understand some of the implications of data science in a changing information environment.

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Schubert, András, and Anikó Somogyi. "Information flow between medical and social sciences." Orvosi Hetilap 155, no. 52 (December 2014): 2093–96. http://dx.doi.org/10.1556/oh.2014.30033.

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In order to reveal impacts of natural and social sciences on each other, the authors examined connections between fields of medical and social sciences using a search for references and citations of scientific publication. 1. The largest affinity between the medical and social sciences was found between neurosciences and psychology, but there was a significant affinity between clinical sciences and general social sciences, as well. 2. The example of General & Internal Medicine papers in the topics of “diabetes” suggests that in the period 2001–2010 the share of references to social sciences was significantly increased. In the meantime, social science papers in the same topics contained references to Clinical Medicine papers in a constantly high percentage. 3. In the sample under study, the age distribution of social science papers in the references did not differ significantly from that of the other sources. 4. Share of references to social science papers was found to be extremely high among Hungarian General & Internal Medicine papers in the topics of “diabetes”. This finding still requires clarification, nevertheless, since e.g. it was not supported by an institutional comparison including the largest Hungarian medical research university. 5. The intensity of the reference/citation mediated information flows between the Hungarian Medical Journal, Orvosi Hetilap and social sciences appears to be in accordance with the current international trends. Orv. Hetil., 2014, 155(52), 2093–2096.

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Juve, Gideon. "Information Sciences Institute." XRDS: Crossroads, The ACM Magazine for Students 17, no. 1 (September 2010): 48–50. http://dx.doi.org/10.1145/1836543.1836559.

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7

Grabowska, Marta. "Library and Information Science Vis-À-Vis Web Science in the Light of the OECD Fields of Science and Technology Classification." International Journal of Advanced Statistics and IT&C for Economics and Life Sciences 9, no. 1 (June 1, 2019): 1–10. http://dx.doi.org/10.2478/ijasitels-2019-0001.

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AbstractAims: The paper focuses on the methodological frames of Library and Information Sciences vis-à-vis Web Science in the light of the OECD Fields of Science and Technology Classification. The roots of Library Science and Information Science in Humanities and Social Sciences are described. The technological revolution which took place during and after World War II enabled the development of a new mathematics- and engineering-oriented environment for information. On this basis such new research areas like Web Science emerged. It led to a change towards an interdisciplinary character of Information Science. Method: The OECD Fields of Science and Technology Classification was analysed from the point of view of the Library and Information Science’s place in this classification.Solutions: In the OECD Fields of Science and Technology Classification Library Science has its independent place within Social Sciences while Information Science is dispersed between three main sections. It confirms the interdisciplinary character of Information Science and sets up its name as a superior covering traditional Information Science and all of new mathematics- and engineering- based research areas dealing with information. Although the name Web Science is not mentioned in this classification, we can assume that it is a sub-discipline of Information Science in the light of the OECD classification. Polish implications are mentioned.

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8

Heilprin, Laurence B. "Information and thermodynamics: Toward a closer unification of information science with other sciences." Journal of the American Society for Information Science 46, no. 8 (September 1995): 579–80. http://dx.doi.org/10.1002/(sici)1097-4571(199509)46:8<579::aid-asi5>3.0.co;2-h.

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Frank Cervone, H. "Perspectives on informatics in the health sciences for information professionals." Digital Library Perspectives 32, no. 4 (November 14, 2016): 226–31. http://dx.doi.org/10.1108/dlp-07-2016-0020.

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Purpose Informatics is a relatively new interdisciplinary field which is not very well understood outside of specific disciplinary communities. With a review of the history of informatics and a discussion of the various branches of informatics related to health-care practice, the paper aims to provide an overview designed to enhance the understanding of an information professional interested in this field. Design/methodology/approach The paper is designed to provide a basic introduction to the topic of informatics for information professionals unfamiliar with the field. Using a combination of historical and current sources, the role of informatics in the health professions is explored through its history and development. Findings The emergence of informatics as a discipline is a relatively recent phenomenon. Informatics is neither information technology (IT) nor information science but shares many common interests, concerns and techniques with these other two fields. The role of the informaticist is to transform data to knowledge and information. Consequently, while the outcomes may be different, there are many commonalities in informatics with the work information professionals perform. Originality/value Most introductions to informatics assume the reader is either an IT professional or a clinical practitioner in one of the health science fields. This paper takes a unique approach by positioning the discussion of the history and application of informatics in the health sciences from the perspective of the information professional.

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10

Caulfield, H. "Optics and information sciences." Information Sciences 162, no. 1 (May 5, 2004): 1–2. http://dx.doi.org/10.1016/j.ins.2003.01.005.

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Paul, P. K., R. R. Sinha, Pappachan Baby, K. S. Shivraj, Bashiru Aremu, and S. Mewada. "Agricultural Informatics as a Branch of Study in Information Sciences and Technology Domain-A Proposal towards Digital Agriculture." International Journal of World Policy and Development Studies, no. 66 (August 8, 2020): 56–65. http://dx.doi.org/10.32861/ijwpds.66.56.65.

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Agricultural Informatics is a valuable domain in the field of interdisciplinary sciences. This is responsible for the applications of Information Technology, Computing and similar technologies into the agricultural activities. This is the combination of Agricultural Science and Information Sciences. The field due to technological nature is much closed with the Agricultural Engineering or Agricultural Technology. There are many allied and similar nomenclature of the fields but all of these are primarily responsible for the same purpose. The field is rapidly increasing in recent past and most practiced in the developed nation. However, in developing countries as well Agricultural Informatics becomes an emerging field of practice and growing rapidly. Agricultural Informatics is growing both in pre and post agricultural activity. This branch is considered as branch of Information Sciences & Technology due to its technological applications in the field of agriculture and allied areas. Information Sciences are the broadest field within the allied branches and growing rapidly. Agricultural Informatics educational programs have started in recent past in different level and stream of education viz. science and technology. However within the broad periphery of Information Sciences it could be offered in other streams and under the wide variety of Information Sciences. This paper is broad and interdisciplinary in nature and deals with the aspects of the Information Sciences and Technology including features, nature, scope and also the potentialities in respect of Agricultural Informatics.

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Collier, Paul A., and Barry J. Spaul. "Information Systems Forensics." Journal of Information Technology 5, no. 3 (September 1990): 134–40. http://dx.doi.org/10.1177/026839629000500303.

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This paper discusses some current issues and methods related to the investigation and successful prosecution of crimes committed with or against computerized information systems. The paper maintains that a new extension to the forensic sciences is a major requirement in the fight against computer misuse and that this new branch of forensic science be called Information Systems Forensics.

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13

Schlagwein, Daniel. "Natural sciences, philosophy of science and the orientation of the social sciences." Journal of Information Technology 36, no. 1 (January 21, 2021): 85–89. http://dx.doi.org/10.1177/0268396220951203.

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Lau, Jesús, and Jesús Cortés. "Information Skills: Conceptual Convergence between Information and Communication Sciences." Comunicar 16, no. 32 (March 1, 2009): 21–30. http://dx.doi.org/10.3916/c32-2009-02-001.

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Nowadays, information is one of the main resources for an individual’s development and wellbeing, therefore distributing and using information must be a top priority for society. This entails establishing strategies so people can learn to use this resource. Furthermore, scientific progress and present-day educational paradigms stress trans-disciplinary learning. Information and communication sciences are complementary by nature –one focusing on the medium and the other on the process– so there must be greater clarity and conceptual consistency in a number of key shared areas. This document is an effort, from the perspective of library science and information science, to identify some possible meeting-points between these disciplines, regarding the study and development of the necessary competencies to handle information adequately.La información se constituye, en la época actual, en uno de los principales recursos para el desarrollo y bienestar de los individuos, por lo que su distribución y aprovechamiento debe constituirse en una prioridad social. Por ello, es necesario establecer estrategias para que las personas aprendan a utilizar estos recursos. Por otra parte, el avance científico y los paradigmas educativos actuales hablan de la importancia de la transdisciplinaridad; las ciencias de la información y las de la comunicación son por naturaleza complementarias, una se enfoca al medio informativo y la otra al proceso comunicativo; es deseable, por ende, que exista una mayor claridad y consistencia conceptual en algunos temas de relevancia común. Este trabajo constituye un esfuerzo, desde la perspectiva de la bibliotecología y las ciencias de la información, para identificar algunos posibles puntos de encuentro entre estas disciplinas, en lo que respecta al estudio y desarrollo de las competencias necesarias para manejar adecuadamente la información.

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Teasley, Stephanie Danell. "Learning analytics: where information science and the learning sciences meet." Information and Learning Sciences 120, no. 1/2 (January 14, 2019): 59–73. http://dx.doi.org/10.1108/ils-06-2018-0045.

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Purpose The explosive growth in the number of digital tools utilized in everyday learning activities generates data at an unprecedented scale, providing exciting challenges that cross scholarly communities. This paper aims to provide an overview of learning analytics (LA) with the aim of helping members of the information and learning sciences communities understand how educational Big Data is relevant to their research agendas and how they can contribute to this growing new field. Design/methodology/approach Highlighting shared values and issues illustrates why LA is the perfect meeting ground for information and the learning sciences, and suggests how by working together effective LA tools can be designed to innovate education. Findings Analytics-driven performance dashboards are offered as a specific example of one research area where information and learning scientists can make a significant contribution to LA research. Recent reviews of existing dashboard studies point to a dearth of evaluation with regard to either theory or outcomes. Here, the relevant expertise from researchers in both the learning sciences and information science is offered as an important opportunity to improve the design and evaluation of student-facing dashboards. Originality/value This paper outlines important ties between three scholarly communities to illustrate how their combined research expertise is crucial to advancing how we understand learning and for developing LA-based interventions that meet the values that we all share.

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16

Wang, Lin. "Twinning data science with information science in schools of library and information science." Journal of Documentation 74, no. 6 (October 8, 2018): 1243–57. http://dx.doi.org/10.1108/jd-02-2018-0036.

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PurposeAs an emerging discipline, data science represents a vital new current of school of library and information science (LIS) education. However, it remains unclear how it relates to information science within LIS schools. The purpose of this paper is to clarify this issue.Design/methodology/approachMission statement and nature of both data science and information science are analyzed by reviewing existing work in the two disciplines and drawing DIKW hierarchy. It looks at the ways in which information science theories bring new insights and shed new light on fundamentals of data science.FindingsData science and information science are twin disciplines by nature. The mission, task and nature of data science are consistent with those of information science. They greatly overlap and share similar concerns. Furthermore, they can complement each other. LIS school should integrate both sciences and develop organizational ambidexterity. Information science can make unique contributions to data science research, including conception of data, data quality control, data librarianship and theory dualism. Document theory, as a promising direction of unified information science, should be introduced to data science to solve the disciplinary divide.Originality/valueThe results of this paper may contribute to the integration of data science and information science within LIS schools and iSchools. It has particular value for LIS school development and reform in the age of big data.

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Didenko, Yu V., A. I. Radchenko, and N. V. Koval. "Information System Web of Sciences: Mirror or Tool?" Nauka ta innovacii 12, no. 6 (November 30, 2016): 75–84. http://dx.doi.org/10.15407/scin12.06.075.

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Chang, I.-Cheng. "Subject area 4.1: Environmental sciences education subject area 4.2: Science communication and information; Information management." Environmental Science and Pollution Research - International 14, no. 6 (September 2007): 352–53. http://dx.doi.org/10.1065/espr2007.08.444.

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Young, Alvin L. "Subject area 4.1: Environmental sciences education Subject area 4.2: Science communication and information; information management." Environmental Science and Pollution Research - International 14, no. 6 (September 2007): 355–56. http://dx.doi.org/10.1065/espr2007.08.447.

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Bunin, M. S., I. A. Kolenchenko, and L. N. Pirumova. "Information support of agricultural sciences." Scientific and Technical Libraries, no. 10 (October 5, 2019): 3–15. http://dx.doi.org/10.33186/1027-3689-2019-10-3-15.

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Folster, Mary B. "Information Seeking Patterns: Social Sciences." Reference Librarian 23, no. 49-50 (February 1995): 83–93. http://dx.doi.org/10.1300/j120v23n49_06.

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22

Uchikawa, Keiji, Masayuki Sato, Harumi Kawamura, Takuya Handa, and Masayuki Kikuchi. "3-1. Human Information Sciences." Journal of The Institute of Image Information and Television Engineers 64, no. 8 (2010): 1182–89. http://dx.doi.org/10.3169/itej.64.1182.

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23

Yuexiao, Zhang. "Definitions and sciences of information." Information Processing & Management 24, no. 4 (January 1988): 479–91. http://dx.doi.org/10.1016/0306-4573(88)90050-7.

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Aizerman, M. A. "Information Theory and Humanitarian Sciences." Information Sciences 57-58 (September 1991): 385–88. http://dx.doi.org/10.1016/0020-0255(91)90088-c.

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Benitez, Jose, Xin Luo, and Gyula Vastag. "Information and Operational Decision Sciences: The Interplay of Information Technology and Operational Decision Sciences." Decision Sciences 51, no. 3 (December 10, 2019): 458–63. http://dx.doi.org/10.1111/deci.12422.

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Cornelius, Ian. "Theorizing information for information science." Annual Review of Information Science and Technology 36, no. 1 (February 1, 2005): 392–425. http://dx.doi.org/10.1002/aris.1440360110.

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Neill, S. D. "Information science or information service." Journal of Information Science 13, no. 6 (December 1987): 373–74. http://dx.doi.org/10.1177/016555158701300611.

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Zins, Chaim. "Redefining information science: from “information science” to “knowledge science”." Journal of Documentation 62, no. 4 (July 2006): 447–61. http://dx.doi.org/10.1108/00220410610673846.

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Douglas, Natalie F., and Vanessa L. Burshnic. "Implementation Science: Tackling the Research to Practice Gap in Communication Sciences and Disorders." Perspectives of the ASHA Special Interest Groups 4, no. 1 (February 26, 2019): 3–7. http://dx.doi.org/10.1044/2018_pers-st-2018-0000.

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Purpose The purpose of this article is to outline how implementation science can contribute to the advancement of communication sciences and disorders through its impact on both clinical research and clinical practice. Implementation science's pertinent definitions and history are discussed. Then, information is highlighted pertaining to the position of implementation science within the larger realm of clinical practice research. An exemplar study is reviewed to inform clinical researchers in communication sciences and disorders. Conclusion The importance of implementation science is emphasized by outlining ways that speech-language pathologists and audiologists can use implementation science to both inform their clinical practice and contribute to the evidence base of the disciplines.

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Fernandes, Wesley Rodrigo, Beatriz Valadares Cendón, and Carlos Alberto Ávila Araújo. "Information Science and its correlated areas:." Brazilian Journal of Information Science 5, no. 1 (December 3, 2011): 3–35. http://dx.doi.org/10.36311/1981-1640.2011.v5n1.02.p3.

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This research contributes to the understanding of what Information Science is and how it is evolving by verifying the disciplines Information Science interacts with at the present time, as well as the breadth and intensity of these relationships. The research uses two bibliometric studies of the scientific journals utilized by researchers in the field. In the first study, citation analysis assessed 433 journals cited in the bibliographies of 18 theses and 39 dissertations from the Graduate Program of Information Science of the Federal University of Minas Gerais. These were first examined to determine their distribution in nine categories representative of large areas of knowledge. Next, subareas to which each journal pertained were also identified. In the second study, 316 journals from the field of Information Science, which the CAPES Portal of Scientific Journals subscribed to, were identified and analyzed in terms of the other areas of knowledge to which they were also designated by the Portal. The results of the citation analysis revealed that 31.8% of 433 journals cited were interdisciplinary, 49.7% pertained to other areas of knowledge while 18.50% were classified solely as Information Science. The analysis of the data from second study revealed that 57% of the journals were classified solely as Information Science and 43% were classified simultaneously in more than one area. Results stemming from both studies show that computer science, administration and education are the disciplines most closely related to Information Science. The areas of knowledge to which Information Science most broadly relates are applied social sciences, human sciences and linguistics, literature and the arts.

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Gryk, Michael R., and Bertram Ludäscher. "Workflows and Provenance: Toward Information Science Solutions for the Natural Sciences." Library Trends 65, no. 4 (2017): 555–62. http://dx.doi.org/10.1353/lib.2017.0018.

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Midtgarden, Torjus. "Peirce’s Classification of the Sciences." KNOWLEDGE ORGANIZATION 47, no. 3 (2020): 267–78. http://dx.doi.org/10.5771/0943-7444-2020-3-267.

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Charles Peirce’s classification of the sciences was designed shortly after the turn of the twentieth century. The classification has two main sources of inspiration: Comte’s science classification and Kant’s theoretical philosophy. Peirce’s classification, like that of Comte, is hierarchically organised in that the more general and abstract sciences provide principles for the less general and more concrete sciences. However, Peirce includes and assigns a superordinate role to philosophical disciplines which analyse and provide logical, methodological and ontological principles for the specialised sciences, and which are based on everyday life experience. Moreover, Peirce recognises two main branches of specialised empirical science: the natural sciences, on the one hand, and the social sciences, the humanities and psychology on the other. While both branches share logical and methodological principles, they are based on different ontological principles in studying physical nature and the human mind and its products, respectively. Peirce’s most basic philosophical discipline, phenomenology, transforms his early engagement with Kant. Peirce’s classification of aesthetics, ethics and logic as normative sub-disciplines of philosophy relate to his philosophical pragmatism. Yet his more overarching division between theoretical (philosophical and specialised) sciences and practical sciences may be seen as problematic. Taking Peirce’s historical account of scientific developments into consideration, however, I argue that his science classification and its emphasis on the interdependencies between the sciences could be seen as sustaining and supporting interdisciplinarity and interaction across fields of research, even across the divide between theoretical and practical sciences.

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Proops, John L. R. "Entropy, Information and Confusion in the Social Sciences." Journal of Interdisciplinary Economics 1, no. 4 (January 1987): 225–42. http://dx.doi.org/10.1177/02601079x8700100403.

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The term “entropy” is now widely used in social science, although its origin is in physical science. There are three main ways in which the term may be used. The first invokes the original meaning, referring to the unidirectionality of heat flow, from hot bodies to cold ones. The second meaning can be derived from the first via statistical mechanics; this meaning is concerned with measures of ‘evenness’ of ‘similarity’. The third meaning derives from information theory. The three distinct meanings are carefully described and distinguished, and their relationships to each other are discussed. The various uses of the three concepts in the social sciences are then reviewed, including some uses which confuse the different meanings of the term. Finally, modern work in thermodynamics is examined, and its implications for economic analysis are briefly assessed.

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Landesman, Betty. "PSIgate: Physical Sciences Information Gateway20028PSIgate: Physical Sciences Information Gateway. Manchester: Resource Discovery Network 2001. gratis." Online Information Review 26, no. 5 (October 2002): 354–55. http://dx.doi.org/10.1108/oir.2002.26.5.354.8.

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Wang, Yingxu. "On the Mathematical Theories and Cognitive Foundations of Information." International Journal of Cognitive Informatics and Natural Intelligence 9, no. 3 (July 2015): 42–64. http://dx.doi.org/10.4018/ijcini.2015070103.

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A recent discovery in computer and software sciences is that information in general is a deterministic abstract quantity rather than a probability-based property of the nature. Information is a general form of abstract objects represented by symbolical, mathematical, communication, computing, and cognitive systems. Therefore, information science is one of the contemporary scientific disciplines collectively known as abstract sciences such as system, information, cybernetics, cognition, knowledge, and intelligence sciences. This paper presents the cognitive foundations, mathematical models, and formal properties of information towards an extended theory of information science. From this point of view, information is classified into the categories of classic, computational, and cognitive information in the contexts of communication, computation, and cognition, respectively. Based on the three generations of information theories, a coherent framework of contemporary information is introduced, which reveals the nature of information and the fundamental principles of information science and engineering.

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Flaherty, Mary Grace. "Good value: health information and the MSLS librarian." Bottom Line 29, no. 3 (November 14, 2016): 173–79. http://dx.doi.org/10.1108/bl-05-2016-0018.

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Purpose The purpose of this paper is to examine the value of the MSLS degree in health sciences library settings. Design/methodology/approach This is a discourse and preliminary analysis supported with research from the literature. Findings The value of the MSLS degree in the health sciences library setting is well recognized. Health sciences librarians’ efforts to evaluate and quantify positive impact of services can provide a useful model for the information and library science field. Research limitations/implications As this is a preliminary discussion, an exhaustive literature analysis was not undertaken. Originality/value A model for empirical-based research, borne out of the health sciences library specialty, can contribute to more effective methods for evaluating general library service and the overall value of the MSLS degree.

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Vukmir, Mladen. "Patent information at the Centre for Information Sciences, Zagreb, Croatia." World Patent Information 14, no. 3 (August 1992): 175–77. http://dx.doi.org/10.1016/0172-2190(92)90071-p.

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White, Howard D. "Information science fiction." Bulletin of the American Society for Information Science and Technology 31, no. 3 (September 22, 2005): 14–15. http://dx.doi.org/10.1002/bult.1720310306.

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Qiao, Qiao, Lijun Wu, Jun Li, Shaobo Cheng, Myung-Geun Han, Joseph A. Garlow, Shawn D. Pollard, et al. "Emerging Microscopy for Quantum Information Sciences." Microscopy and Microanalysis 25, S2 (August 2019): 928–29. http://dx.doi.org/10.1017/s1431927619005373.

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Horiuchi, Hitoshi, Atsuhiro Ohshima, Shinya Yamada,, Hirotaka Ono, and Masahiro Yonemitsu. "Human Information Sciences Laboratories, Utsunomiya University." Journal of The Institute of Image Information and Television Engineers 61, no. 11 (2007): 1606–9. http://dx.doi.org/10.3169/itej.61.1606.

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Shree, Soumya, DorothyDeena Theodore, AnuradhaAdinarayana Reddy, and Roshini Kuriokose. "Synergy: Information technology and health sciences." Archives of Medicine and Health Sciences 4, no. 1 (2016): 58. http://dx.doi.org/10.4103/2321-4848.183349.

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Weller, Ann C. "Information Sources in the Medical Sciences." JAMA: The Journal of the American Medical Association 254, no. 1 (July 5, 1985): 123. http://dx.doi.org/10.1001/jama.1985.03360010133045.

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Budd, John, and Corrie Christensen. "Social Sciences Literature and Electronic Information." portal: Libraries and the Academy 3, no. 4 (2003): 643–51. http://dx.doi.org/10.1353/pla.2003.0077.

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Chatfield, Amy J., Rebecca M. Romero, and Ian S. Haworth. "Information Intervention in the Pharmaceutical Sciences." Medical Reference Services Quarterly 31, no. 2 (April 2012): 188–201. http://dx.doi.org/10.1080/02763869.2012.670593.

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45

Lodge, James P. "Physical and information sciences and engineering." Atmospheric Environment (1967) 23, no. 11 (January 1989): 2633. http://dx.doi.org/10.1016/0004-6981(89)90276-x.

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Gaines, Brian R. "Modeling and forecasting the information sciences." Information Sciences 57-58 (September 1991): 3–22. http://dx.doi.org/10.1016/0020-0255(91)90066-4.

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Sawyer, Steve, and Howard Rosenbaum. "Social Informatics in the Information Sciences: Current Activities and Emerging Directions." Informing Science: The International Journal of an Emerging Transdiscipline 3 (2000): 089–96. http://dx.doi.org/10.28945/583.

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Rotich, Kenneth K. "Investigating the Relevance of Library Information Science Curriculum to Systems Librarians at Kenya’s Schools of Information Sciences." International Information & Library Review 53, no. 2 (April 3, 2021): 181–86. http://dx.doi.org/10.1080/10572317.2021.1909268.

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OKAMOTO, Masahiro. "Contribution of Information Science Technology to the Research on Systems Life Sciences." Seibutsu Butsuri 43, no. 4 (2003): 192–97. http://dx.doi.org/10.2142/biophys.43.192.

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Berman, Elizabeth. "Transforming Information Literacy in the Sciences Through the Lens of e-Science." Comminfolit 7, no. 2 (2013): 161. http://dx.doi.org/10.15760/comminfolit.2013.7.2.148.

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