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Information Management in Humanitarian Aid on the Example of the Humanitarian Emergency Telecommunications Cluster (ETC)

Landmann Tomasz, Zamiar Zenon

Systemy Logistyczne Wojsk

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2023

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Vol. 59, no. 2

21--36

EN

The topic of the article is information management in humanitarian aid on the example of the humanitarian Emergency Telecommunications Cluster (ETC). The research niche described in the article is the analysis of the principles, relationships and procedures of communications in the humanitarian cluster, taking into account the organizations cooperating in the Emergency Telecommunications Cluster (ETC). The aim of the considerations is to establish and explain the basic principles and solutions of information management that were adopted at the level of the humanitarian Emergency Telecommunications Cluster (ETC). The authors sadopted the thesis that information management in ETC plays a key role in the perspective of improving humanitarian aid and strengthening coordination of humanitarian organizations. The research material consisted of source documents developed by partners cooperating at the ETC level, supplemented with statistical data and information from scientific literature. For the purposes of the article, research methods were used in the form of analysis of existing data (desk research), analysis of documents published on the activities of ETC, and, in auxiliary scope, logical inference based on the collected material. The analysis of the presented material allows us to conclude that various guidelines, principles, procedures and solutions in information management are used for the needs of ETC. They are adapted to carry out humanitarian tasks as part of preparation for threats (Preparedness) and response to crises (Emergency). ETC serves as a solution provider and service provider in the field of emergency telecommunications. The operation of the ETC is one of the ways to maintain information security when providing international humanitarian aid.

PL

Tematem artykułu jest zarządzanie informacją w pomocy humanitarnej na przykładzie humanitarnego klastra Emergency Telecommunications Cluster (ETC). Niszę badawczą opisaną w artykule stanowi analiza zasad, relacji i procedur łączności w klastrze humanitarnym z uwzględnieniem organizacji tworzących system telekomunikacji kryzysowej na poziomie Emergency Telecommunications Cluster (ETC). Celem rozważań jest ustalenie i wyjaśnienie podstawowych zasad i rozwiązań w zakresie zarządzania informacją, które zostały przyjęte na poziomie humanitarnego klastra ETC. Autorzy stawiają tezę, że zarządzanie informacją w klastrze ETC odgrywa kluczową rolę w perspektywie usprawnienia pomocy humanitarnej i poprawy koordynacji działań organizacji humanitarnych. Materiał badawczy stanowiły dokumenty źródłowe opracowane przez partnerów współpracujących na poziomie ETC, uzupełnione o dane statystyczne, a także informacje z literatury naukowej. Na potrzeby artykułu wykorzystano metody badawcze w postaci analizy danych zastanych (desk research), analizy dokumentów publikowanych na temat działalności ETC oraz, w zakresie pomocniczym, wnioskowania logicznego na podstawie zebranego materiału. Analiza przedstawionego materiału pozwala stwierdzić, że na potrzeby ETC wykorzystywane są różne wytyczne, zasady, procedury i rozwiązania z zakresu zarządzania informacją. Są one dostosowane do realizacji zadań humanitarnych w ramach przygotowania do zagrożeń (Preparedness) oraz reagowania na sytuacje kryzysowe (Emergency). ETC pełni rolę dostawcy rozwiązań i usług w zakresie telekomunikacji kryzysowej. Funkcjonowanie klastra jest jednym ze sposobów utrzymania bezpieczeństwa informacji podczas świadczenia międzynarodowej pomocy humanitarnej.

2

Use a cluster approach to organize and analyze data inside the cloud

Boyko N., Mykhailyshyn P., Kryvenchuk Y.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

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2018

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Vol. 7, No 2

15--22

EN

In this paper, description of a concept of cloud storage is offered. Cloud data storage is a model of an online storage where the data is being stored in multiple, divided between network servers that are provided for clients’ usage, mostly by a third-party company. The majority of the cloud storages (as opposed to file-exchangers) are offering almost boundless set of functions for free, by only limiting the size of the available storage (mostly a couple of gigabytes). Integrated data mining is being used for extracting potentially useful information from unprocessed data. The methods of data analysis are quite important with cloud computing. The implementation of the methods of integrated data mining inside the cloud will let the users receive the helpful information from non-structured or half-constructed web data sources. The main purpose of this work is to organize huge diverse data coming from different sources into clusters, depending on the type of data.

3

Cluster format for arranging and implementing industrial policy

Kyzym M., Khaustova V.

Acta Innovations

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2015

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no. 17

30--40

EN

The article investigates cluster approach to arrange economic policy in world countries. Cluster implication is discussed as a formation with its specifics and main characteristics. Cluster policy contents, essence, goals, types and differences are reviewed. Practical implementation of cluster policy in leading European countries is researched; problems and achieved results are determined. The problem of identifying and building up cluster formations is debated. Challenges and prospects for creating territorial clusters are determined together with cluster policy implementation in Ukraine as well as public and regional policy in supporting clusters’ development is reviewed. The article proves that public authority bodies’ activities in the sphere of cluster model implementation for Ukrainian industry development should be directed on activating the government role in cluster formation on the basis of public-private partnership as well as on creating favorable macro-economic, information and legal-regulatory environment to develop cluster-type business networks.