Definition of a technological ecosystem for scientific knowledge management in a PhD programme

2015 ◽  
Author(s):  
Alicia García-Holgado ◽  
Francisco J. García-Peñalvo ◽  
María José Rodríguez-Conde
Keyword(s):  
Knowledge Management ◽  
Scientific Knowledge ◽  
Definition Of

Aristotle’s Definition of Scientific Knowledge (APo 71b 9–12)

2016 ◽  
Vol 19 (1) ◽  
pp. 140-166 ◽  
Author(s):  
Lucas Angioni
Keyword(s):  
Scientific Knowledge ◽  
Posterior Analytics ◽  
Way Of Knowing ◽  
Definition Of ◽  
The Way

In Posterior Analytics 71b9–12, we find Aristotle’s definition of scientific knowledge. The definiens is taken to have only two informative parts: scientific knowledge must be knowledge of the cause and its object must be necessary. However, there is also a contrast between the definiendum and a sophistic way of knowing, which is marked by the expression “kata sumbebekos”. Not much attention has been paid to this contrast. In this paper, I discuss Aristotle’s definition paying due attention to this contrast and to the way it interacts with the two conditions presented in the definiens. I claim that the “necessity” condition ammounts to explanatory appropriateness of the cause.

Patents and Scientific Research

2015 ◽  
pp. 135-155
Author(s):  
Sulan Wong
Keyword(s):  
Quality Of Life ◽  
Business Model ◽  
Scientific Knowledge ◽  
Research Funding ◽  
Scientific Research ◽  
Patent System ◽  
Scientific Development ◽  
Patent Litigation ◽  
Definition Of

It is argued that patents encourage scientific development, benefiting society by creating useful products and services that improve the quality of life. However, by granting exclusive rights of exploitation, patents create situations in which they interfere with the exercise of the freedom of scientific research. This work examines five scenarios where this problem can be seen and the utilitarian function of patents is questioned. Firstly, the effects of research funding in the definition of the lines and research objectives are observed. Secondly, the anticommons is studied, as it is a situation where excessive fragmentation of ownership in scientific knowledge may prevent its use. Thirdly, broad patents and their implications are examined. Fourthly, the deterrent power of patent litigation, which creates an unexpected business model, is analyzed. Fifthly, secrecy is looked upon, as it is encouraged by the logic in which the patent system works.

Towards The New Episteme

2013 ◽  
pp. 45-59
Author(s):  
Zbigniew Król
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Philosophy Of Language ◽  
Explicit Knowledge ◽  
Professional Collaboration ◽  
Science Knowledge ◽  
Types Of Knowledge ◽  
New Knowledge ◽  
Definition Of ◽  
The Given

The usual horizon of knowledge science is limited to nominalism, empiricism, and naturalistic and evolutionary epistemologies. I propose to broaden this horizon by applying some other philosophical attitudes, such as a non-nominalistic philosophy of language. A basic methodology for the new episteme, including (non-nominalistic) typology and a definition of knowledge and of tacit knowledge, is proposed. Several types of knowledge and the corresponding tacit knowledge are discussed within a broadened philosophical context. There are many types of knowledge and tacit knowledge using different methods of sharing. The main problem with the effective sharing of tacit knowledge is sharing knowledge relevant to the given problem. The transfer, change and transformation of tacit knowledge into explicit knowledge are possible. An example of such a transition, which I call conceptualization, is described. Conceptualization exemplifies how new knowledge can be created with the use of tacit knowledge. A need also exists for a professional collaboration between knowledge science, knowledge management and philosophy.

The Role of Knowledge Management (KM) in Aged Care Informatics

Big Data ◽  
2016 ◽  
pp. 1668-1686
Author(s):  
Margee Hume ◽  
Craig Hume ◽  
Paul Johnston ◽  
Jeffrey Soar ◽  
Jon Whitty
Keyword(s):  
Knowledge Management ◽  
Management Practice ◽  
Aged Care ◽  
Social Infrastructure ◽  
Care Giving ◽  
Aged Care Facilities ◽  
Definition Of

Aged care is projected to be the fastest-growing sector within the health and community care industries (Reynolds, 2009). Strengthening the care-giving workforce, compliance, delivery, and technology is not only vital to our social infrastructure and improving the quality of care, but also has the potential to drive long-term economic growth and contribute to the Gross Domestic Product (GDP). This chapter examines the role of Knowledge Management (KM) in aged care organizations to assist in the delivery of aged care. With limited research related to KM in aged care, this chapter advances knowledge and offers a unique view of KM from the perspective of 22 aged care stakeholders. Using in-depth interviewing, this chapter explores the definition of knowledge in aged care facilities, the importance of knowledge planning, capture, and diffusion for accreditation purposes, and offers recommendations for the development of sustainable knowledge management practice and development.

Directions and Trends in Knowledge Management Research

2003 ◽  
pp. 1-15
Author(s):  
George M. Giaglis
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Learning Environments ◽  
Pattern Matching ◽  
Future Research ◽  
Research Projects ◽  
Knowledge Repositories ◽  
Accurate Definition ◽  
Research Themes ◽  
Definition Of

Knowledge and Information Management (KIM) has existed as a separate field of scientific research for almost a decade. It is therefore surprising that very few studies to date have been concerned with the identification of the scope and boundaries of the field, as well as the sub-topics and research themes that constitute it. This chapter reports on the results of an empirical analysis of more than 200 research projects in Knowledge and Information Management. Using an inductive methodology of pattern matching analysis, a more accurate definition of knowledge management is attempted, and an innovative taxonomy of research sub-themes within the ‘umbrella’ area of Knowledge and Information Management is proposed. Furthermore, a trend towards a gradual maturation of the presently prevailing research paradigm is identified, indicating a need for a ‘paradigm shift’ that will provide a new direction and vision for future research in the area. We suggest that targeted future research efforts in the area of knowledge technologies will contribute to the development of the ‘next generation’ knowledge management systems that will transform the existing ‘passive’ knowledge repositories into ‘active’ learning environments.

Directions and Trends in Knowledge Management Research

2011 ◽  
pp. 1438-1449
Author(s):  
George M. Giaglis
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Learning Environments ◽  
Pattern Matching ◽  
Future Research ◽  
Research Projects ◽  
Knowledge Repositories ◽  
Accurate Definition ◽  
Research Themes ◽  
Definition Of

Knowledge and Information Management (KIM) has existed as a separate field of scientific research for almost a decade. It is therefore surprising that very few studies to date have been concerned with the identification of the scope and boundaries of the field, as well as the sub-topics and research themes that constitute it. This chapter reports on the results of an empirical analysis of more than 200 research projects in Knowledge and Information Management. Using an inductive methodology of pattern matching analysis, a more accurate definition of knowledge management is attempted, and an innovative taxonomy of research sub-themes within the ‘umbrella’ area of Knowledge and Information Management is proposed. Furthermore, a trend towards a gradual maturation of the presently prevailing research paradigm is identified, indicating a need for a ‘paradigm shift’ that will provide a new direction and vision for future research in the area. We suggest that targeted future research efforts in the area of knowledge technologies will contribute to the development of the ‘next generation’ knowledge management systems that will transform the existing ‘passive’ knowledge repositories into ‘active’ learning environments.

The Impact of Culture and Context on Knowledge Management

2011 ◽  
pp. 6-11 ◽  
Author(s):  
Murray E. Jennex
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Home Office ◽  
Consensus Definition ◽  
Main Work ◽  
Study Support ◽  
Editorial Review ◽  
Definition Of ◽  
Year 2000 ◽  
The Impact

Jennex (2005) used an expert panel to generate the definition of knowledge management as the practice of selectively applying knowledge from previous experiences of decision-making to current and future decision making activities with the express purpose of improving the organization’s effectiveness. This was a consensus definition from the editorial review board that tells us what we are trying to do with knowledge management. However, knowledge management is being applied in multinational, multicultural organizations and we are seeing issues in effectively implementing knowledge management and transferring knowledge in global and/or multicultural environments. Chan and Chau (2005) discuss a failure of knowledge management that was in part caused by organizational culture differences between the home office (Hong Kong) and the main work location (Shanghai). Jennex (2006) discusses Year 2000, Y2K, knowledge sharing projects that were not as successful as expected due to cultural and context issues. These projects involved organizations that performed the same functions just in different nations, however, problems caused by culture and context were not expected. Other research in review with the International Journal of Knowledge Management explores issues of culture with respect to social capital and implementing knowledge management. None of these are far reaching studies that we can generalize issues from, but they do provide anecdotal and case study support that culture and context are issues we need to address.

Coping With the Infodemic With Scientific Knowledge Management

2022 ◽  
pp. 14-35
Author(s):  
Jorge Biolchini ◽  
Eliane Azevedo Gomes ◽  
Elaine Cristina Ferreira Dias ◽  
Tatiana Figueiredo
Keyword(s):  
Knowledge Management ◽  
Scientific Knowledge ◽  
Scientific Evidence ◽  
Sources Of Information ◽  
Development Methodology ◽  
Methodological Rigor ◽  
Group Information ◽  
Different Sources ◽  
Science Technology And Innovation ◽  
Support Decision Making

The COVID-19 pandemic brought a challenge to the health area and generated an enormous amount of information, some accurate and some not, which made it difficult to locate reliable sources of information. Scientific knowledge has become the best way to mitigate this infodemiological process. Observatories are instruments to support decision making, seeking to integrate different sources of information and communicate the results using research methodologies such as the COVID-19 Scientific Evidence Observatory. Created by members of the research group Information in Science, Technology, and Innovation in Health, of the IBICT, it aims to meet the informational demands of the most varied audiences. Its development methodology involves a knowledge management team that uses the methodological rigor of the systematic literature review to seek, evaluate, synthesize, and enable access to reliable and qualified sources of information. It provides access to different sources of national and international information from the Kaleidoscope of Science.

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