scholarly journals Fundamentals of Common Digital Space of Scientific Knowledge Building

2021 ◽  
Author(s):  
Nikolay Kalenov ◽  
Gennadiy Savin ◽  
Alexander Sotnikov
Keyword(s):  
Semantic Web ◽  
Scientific Knowledge ◽  
Knowledge Building ◽  
Information Support ◽  
Digital Space ◽  
Preliminary Examination ◽  
User Groups ◽  
Digital Objects ◽  
Scientific Results ◽  
Scientific Fields

The article discusses the general issues of creating a Common Digital Space of Scientific Knowledge (CDSSK) as a modern integrated structure focused on supporting the tasks of information support for science and education, popularizing and storing knowledge reflected in various digital objects. The tasks of the CDSSK are formulated, user groups are determined, the architecture of the space is considered. The CDSSK includes a set of subspaces related to various scientific fields. The unity of space is ensured by unified principles for constructing subspaces and ontological connections between their objects. Each subspace includes digital objects, metadata containing facts associated with objects, and subject ontologies that provide advanced searches and navigation through space. All information is reflected in the CDSSK according to the rules of the “Semantic Web”. The content of each subspace includes a core (time-tested reliable scientific results) and a superstructure - new scientific results that have passed preliminary examination article describes

scholarly journals The Architecture of the Common Digital Space of Scientific Knowledge

2021 ◽  
Author(s):  
N. E. Kalenov ◽  
G. I. Savin ◽  
A. N. Sotnikov
Keyword(s):  
Semantic Web ◽  
Scientific Knowledge ◽  
Digital Space ◽  
Preliminary Examination ◽  
Digital Objects ◽  
The Common ◽  
Scientific Results ◽  
Scientific Fields

The architecture of the Common Digital Space of Scientific Knowledge (CDSSK) is determined by its functions and objectives. CDSSK includes a set of subspaces related to various scientific fields. The unity of subspaces is provided by unified principles for constructing subspaces and ontological connections between their objects. Each subspace includes digital objects, metadata containing facts related to objects, and subject onotologies that provide advanced searches and navigation through space. All information is reflected in the CDSSK according to the rules of the «semantic WEB». The content of each subspace includes a core (time-tested reliable 8 scientific results) and a superstructure — new scientific results that have passed preliminary examination.

Architecture of the Common Digital Space of Scientific Knowledge

2020 ◽  
pp. 5-8
Author(s):  
N.E. Kalenov ◽  
◽  
A.N. Sotnikov ◽  
Keyword(s):  
Semantic Web ◽  
Scientific Knowledge ◽  
Digital Space ◽  
Preliminary Examination ◽  
Digital Objects ◽  
The Common ◽  
Scientific Results ◽  
Scientific Fields

The architecture of the Common Digital Space of Scientific Knowledge (CDSSK) is determined by its functions and objectives. CDSSK includes a set of subspaces related to various scientific fields. The unity of subspaces is provided by unified principles for constructing subspaces and ontological connections between their objects. Each subspace includes digital objects, metadata containing facts related to objects, and subject ontologies that provide advanced searches and navigation through space. All information is reflected in the CDSSK according to the rules of the "semantic WEB". The content of each subspace includes a core (time-tested reliable scientific results) and a superstructure - new scientific results that have passed preliminary examination.

Common Digital Space of Scientific Knowledge: Goals and Tasks

2020 ◽  
pp. 3-5
Author(s):  
G.I. Savin ◽  
Keyword(s):  
Scientific Knowledge ◽  
Scientific Research ◽  
Information Support ◽  
Digital Space ◽  
Educational Processes ◽  
The Common

The goals of the formation of the Common Digital Space of Scientific Knowledge (CDSSK) are formulated, which are aimed at providing information support for scientific research, supporting educational processes, popularizing science, and ensuring the preservation of scientific knowledge. Accordingly, the contingent of users of the CDSSK and the tasks that need to be solved in the process of forming the Space are determined.

scholarly journals Animal Models in Pharmacology: A Brief History Awarding the Nobel Prizes for Physiology or Medicine

Pharmacology ◽  
2021 ◽  
pp. 1-13
Author(s):  
Catarina V. Jota Baptista ◽  
Ana I. Faustino-Rocha ◽  
Paula A. Oliveira
Keyword(s):  
Animal Model ◽  
Animal Models ◽  
20Th Century ◽  
Scientific Knowledge ◽  
Mode Of Action ◽  
Experimental Protocol ◽  
Domestic Species ◽  
Scientific Area ◽  
Different Types ◽  
Scientific Fields

<b><i>Background:</i></b> The Nobel Prize of Physiology or Medicine (NPPM) has recognized the work of 222 scientists from different nationalities, from 1901 until 2020. From the total, 186 award researchers used animal models in their projects, and 21 were attributed to scientists and projects directly related to Pharmacology. In the most recent years, genetics is a dominant scientific area, while at the beginning of the 20th century, most of the studies were more related to anatomy, cytology, and physiology. <b><i>Summary:</i></b> Mammalian models were used in 144 NPPM projects, being rodents the most used group of species. Moreover, 92 researchers included domestic species in their work. The criteria used to choose the species, the number of animals used and the experimental protocol is always debatable and dependent on the scientific area of the study; however, the 3R’s principle can be applied to most scientific fields. Independently of the species, the animal model can be classified in different types and criteria, depending on their ecology, genetics, and mode of action. <b><i>Key-Messages:</i></b> The use of animal models in NPPM awarded projects, namely in Pharmacology, illustrates their importance, need and benefit to improve scientific knowledge and create solutions. In the future, with the contribute of technology, it might be possible to refine the use of animal models in pharmacology studies.

scholarly journals Some Aspects of 3D-objects Presentation in a Common Digital Space of Scientific Knowledge

2021 ◽  
Author(s):  
Irina Sobolevskaya
Keyword(s):  
Scientific Knowledge ◽  
Virtual Space ◽  
Digital Space ◽  
3D Objects ◽  
Physical Objects

The paper deals with the issues of multimedia objects presentation in a common digital space of scientific knowledge. Examples of using new technological solutions for transferring images of physical objects into virtual space are given. The technology for representing digital 3D models in the environment of a common digital space of scientific knowledge is proposed. The principle of scientific virtual exhibitions formation in the environment of a common digital space of scientific knowledge is considered.

Subject Ontology of the Common Digital Space of Scientific Knowledge as a source of Scientometric Research

2020 ◽  
pp. 47-49
Author(s):  
V.A. Tsvetkova ◽  
◽  
N.E. Kalenov ◽  
Yu.V. Mokhnaheva ◽  
I.A. Mitroshin ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Scientific Knowledge ◽  
Ontology Development ◽  
Frequency Of Occurrence ◽  
Digital Space ◽  
Intensity Of Development ◽  
The Subject ◽  
The Common ◽  
Citation Databases

The paper proposes a methodology for assessing the intensity of development of a particular topic related to a given scientific direction, based on the analysis of the dynamics of its subject ontology. It is proposed to evaluate the dynamics of the subject ontology development on the basis of a comparative analysis of the frequency of occurrence of ontology terms in the keywords lists of reflected in the citation databases. The proposed methodology is modeled on the example of the scientific direction "Microbiology".

A NEW APPROACH TO THE DESCRIPTION OF A BABYLONIAN HYDRAULIC WORK BY HERODOTUS

2013 ◽  
Vol 63 (2) ◽  
pp. 888-891 ◽  
Author(s):  
K.L. Katsifarakis ◽  
I. Avgoloupis
Keyword(s):  
Conference Proceedings ◽  
Scientific Knowledge ◽  
Technological Progress ◽  
Wide Spectrum ◽  
Strong Indication ◽  
New Approach ◽  
The Relationship ◽  
Scientific Fields ◽  
Journal Papers

Herodotus is a fascinating author, not only to scholars of history, but also to a wide spectrum of scientists, such as engineers, who are not usually considered to be relevant to humanistic studies. A strong indication of the persisting interest in Herodotus is the recent proliferation of books, for example those of C. Dewald and J. Marincola and A.M. Bowie, on various aspects of his work. At the same time, there is a remarkable interest in the evolution of knowledge in different scientific fields which promotes the understanding of a) the relationship between socio-economic phenomena and technological progress and b) the process of acquiring and documenting scientific knowledge. In the field of hydraulics and hydrology in particular, this interest is documented by journal papers (for example by L.W. Mays et al. and D. Koutsoyiannis et al.), books (for example by A.K. Biswas, Ö. Wikander), book chapters (for example by A.I. Wilson) and conference proceedings.

scholarly journals Interdisciplinariedad en la innovación social frente a la despoblación rural

2019 ◽  
Vol 19 (1) ◽  
pp. 17
Author(s):  
Diana E. Valero ◽  
Lucía López Marco
Keyword(s):  
Scientific Knowledge ◽  
Social Innovation ◽  
Research Project ◽  
Its Analysis ◽  
Demographic Challenges ◽  
The Social ◽  
Rural Depopulation ◽  
Scientific Fields

<div data-canvas-width="537.7519333333333">This article explores interdisciplinarity in social innovation facing rural depopulation. For this purpose, we analyse the diversity of disciplines involved in the social innovation initiatives registered in the database of the SIMRA research project that are addressing demographic challenges. The results of this analysis show a significant level of integration of scientific knowledge in the social innovation facing depopulation, which evidences the need for interdisciplinarity in fighting depopulation and also its analysis, as well as the existing margin for more scientific fields to participate in this type of social innovation.</div>

scholarly journals Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic

2021 ◽  
Author(s):  
Núria Queralt-Rosinach ◽  
Rajaram Kaliyaperumal ◽  
César H. Bernabé ◽  
Qinqin Long ◽  
Simone A. Joosten ◽  
...  
Keyword(s):  
Semantic Web ◽  
Data Management ◽  
Research Data ◽  
Patient Data ◽  
Research Data Management ◽  
Hospitalised Patients ◽  
The World ◽  
Data Points ◽  
Fair Principles ◽  
Digital Objects

AbstractBackgroundThe COVID-19 pandemic has challenged healthcare systems and research worldwide. Data is collected all over the world and needs to be integrated and made available to other researchers quickly. However, the various heterogeneous information systems that are used in hospitals can result in fragmentation of health data over multiple data ‘silos’ that are not interoperable for analysis. Consequently, clinical observations in hospitalised patients are not prepared to be reused efficiently and timely. There is a need to adapt the research data management in hospitals to make COVID-19 observational patient data machine actionable, i.e. more Findable, Accessible, Interoperable and Reusable (FAIR) for humans and machines. We therefore applied the FAIR principles in the hospital to make patient data more FAIR.ResultsIn this paper, we present our FAIR approach to transform COVID-19 observational patient data collected in the hospital into machine actionable digital objects to answer medical doctors’ research questions. With this objective, we conducted a coordinated FAIRification among stakeholders based on ontological models for data and metadata, and a FAIR based architecture that complements the existing data management. We applied FAIR Data Points for metadata exposure, turning investigational parameters into a FAIR dataset. We demonstrated that this dataset is machine actionable by means of three different computational activities: federated query of patient data along open existing knowledge sources across the world through the Semantic Web, implementing Web APIs for data query interoperability, and building applications on top of these FAIR patient data for FAIR data analytics in the hospital.ConclusionsOur work demonstrates that a FAIR research data management plan based on ontological models for data and metadata, open Science, Semantic Web technologies, and FAIR Data Points is providing data infrastructure in the hospital for machine actionable FAIR digital objects. This FAIR data is prepared to be reused for federated analysis, linkable to other FAIR data such as Linked Open Data, and reusable to develop software applications on top of them for hypothesis generation and knowledge discovery.

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