DOCSLIB.ORG

New Data Access Challenges for Data Intensive Research in Russia

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
New Data Access Challenges for Data Intensive Research in Russia New Data Access Challenges for Data Intensive Research in Russia © Leonid KalinichenkoI © Alexander FazlievII © Eugene GordovIII © Nadezhda KiselyovaIV © Dana KovalevaV Oleg MalkovV © I. OkladnikovIII © Nikolay PodkolodnyVI © Natalia PonomarevaVII © Alexey PozanenkoVIII © Sergey StupnikovI © Alina VolnovaVIII I Institute of Informatics Problems, FRC CSC RAS, Moscow II Institute of Atmospheric Optics, Siberian Branch of RAS, Tomsk III Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of RAS, Tomsk IV Institute of Metallurgy and Material Sciences of RAS, Moscow V Institute of Astronomy of RAS, Moscow VI Institute of Cytology and Genetics, Siberian Branch of RAS, Novosibirsk VII Research Center of Neurology , Moscow VIII Space Research Institute, RAS, Moscow [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] Abstract applications support in various DIDs. This survey is intended also to serve as a basis for the panel discussion The goal of this survey is to analyze the global trends at the International Conference DAMDID/RCDL’2015. for development of massive data collections and related infrastructures in the world aimed at the evaluation of 1 Introduction the opportunities for the shared usage of such Nowadays scientific research and decision making collections during research, decision making and in various areas of human activity are provided on the problem solving in various data intensive domains basis of data analysis. Volume and variety of data (DIDs) in Russia. The representative set of DIDs accumulated in the respective domains grow selected for the survey includes astronomy, genomics exponentially. and proteomics, neuroscience (human brain In the book The Fourth Paradigm – Data Intensive investigation), materials science and Earth sciences. For Scientific Discovery [30] “data intensive sciences” are introduced by referring to ideas formulated by Jim Gray each of such DID the strategic initiatives (or large in 2007. Gray distinguishes 4 paradigms of scientific projects) in USA and Europe aimed at creation of big research in the order of their historical appearance: data collections and the respective infrastructures Empirical Science (describing natural phenomena), planned up to 2025 are briefly overviewed. The IT Theoretical Science (using models to achieve projects aimed at the development of the infrastructures generalizations), Computational Science (simulating supporting access to and analysis of such data complex phenomena) and Data exploration (also unifying theory, experiment and simulation). collections are also briefly overviewed. The paper concludes with an idea of organizing in Russia of a According to the Fourth Paradigm data intensive research is an integral part of various areas of science, target interdisciplinary program for the development of economics, business. These areas are designated below the pilot project of the distributed infrastructure and as data intensive domains (DIDs). platform for the access to various kinds of data in the Research and development in DIDs are world, storage of data and their analysis during research inconceivable without new data obtained through in various DIDs. As a part of such infrastructure, the observations and measurements in the nature and program should also include development of the high society. Process of data extraction, processing and performance interdisciplinary center for data intensive analysis resembles process of mineral mining operations. Minerals are mined, processed and Proceedings of the XVII International Conference transformed into materials for development of different DAMDID/RCDL’2015 «Data Analysis and products. Similarly to minerals data are extracted from Management in Data Intensive Domains», Obninsk, the nature for observable phenomena and processes. October 13-16, 2015 Data extraction from the nature becomes more and more complicated and sophisticated alongside with the 215 development of knowledge. This complexity is analysis (for instance, natural language texts analysis as motivated by the increasing scale of micro and macro a part of cognition), data accumulation and phenomena to be investigated. Global projects and interdisciplinary usage, design of specific infrastructures missions (including space ones) aimed at data extraction aimed at handling with “data flood” caused by installing and accumulating with the help of the newest new facilities and instruments of big data extraction and specialized high-technological instruments located on processing in nearly real time. A lot of activities are the Earth and in space are organized. Data extraction is undertaken in this direction including organization of very costly process requiring development of specific joint projects, workgroups and their symposia, technologies and huge investments. The process of data conferences, discussion of possible solutions; design extraction during investigation of some kind of and development of new infrastructures; design and phenomena in DID can take many years. Result of data testing right now of the fragments of infrastructures extraction is raw data (“ore”) that have to be processed oriented on access and analysis of data collections and analyzed. Alongside with the data extraction planned to start functioning after 2020; developing of development the rapid advancements and expansion use cases of the problems to be solved. take place in the following areas: Situation in Russia is such that without timely and methods and tools for data accumulating, effective access to data (the most important data processing, analysis and management in different collections are accumulated abroad) scientific research DIDs; in various areas of many DIDs will become less and less variety of problems to be solved on the basis of efficient. extracted data; Data collections overviewed in this paper and examples of their usage are time limited: large projects accumulation of experience of solving of such intended for data accumulation and usage in various problems and interdisciplinary usage of their DIDs carried out up to 2025 are considered. The solutions. representative set of DIDs including astronomy, Considerations mentioned above motivate the genomics and proteomics, neuroscience (human brain authors to analyze global trends for development of investigation), materials science and Earth sciences was massive data collections in the world and opportunities predefined2 for our overview and analysis. This set for the shared usage of such collections during research, includes also the informatics accompanied with a decision making and problem solving in various DIDs collection of existing data analysis methods (machine in Russia. learning, data mining, statistics), software and hardware The main motivation for this work is to initiate platforms. systematic analysis of the following topics attracting Researchers from different institutions of RAS, SB significant interest in the world: RAS and RAMS participated in this work. The list of development of massive data collections in various institutions includes Federal Research Center DIDs; “Computer Science and Control”, Space Research development of infrastructures for accumulating Institute, Institute of Astronomy, Institute of Cytology and usage of massive data collections; and Genetics, Research Center of Neurology, Institute of Metallurgy and Materials Science, Institute of systematizing of experience of problem solving in Monitoring of Climatic and Ecological Systems, DIDs; etc. Institute of Atmospheric Optics. Some of the pragmatic aims of this analysis include: The paper is structured as follows. For every DID revealing technical, legal and financial issues of considered in the next sections the following access of Russian scientists in various DIDs to information is provided: accumulated and expected data collections in the large strategic initiatives in USA and Europe; world1; examples of massive data collections in the world determining needs for specific hardware and up to 2025; software infrastructures for access to massive data collections from Russia; known infrastructure projects and data centers; determining possibilities for Russia to contribute comparable projects in Russia.. to the “world data treasury”, to the creation of Selecting initiatives, collections and infrastructures, infrastructures, methods and tools for data analysis the authors attempted to choose the projects collecting and problem solving. unique data that are important for scientific research in Preliminary analysis shows that the Western world is highly concerned with the issues caused by the “flood” 2 of DIDs with the big data. The issues include data This set has been formed during preparation of the DAMDID/RCDL’2015 conference. In the sequel the set can be 1 enlarged. Physics is not included in the set intentionally. E.g., methods Data extraction in many DIDs as well as acquisition of concrete data and tools for analysis of data got from hadron collider evolve very collections possess high technological complexity and cost. “Import fast. The LHC project occupies a distinguished position in Russia, substitution” is out of the question for at least 10 years in this area. data to be processed and infrastructure are very specific. 216 Russia. Volume of such collections should be at least rare events: each object will be observed
Load more

Recommended publications
  • ESPON DIGIPLAN Case Study France.Pdf
    TARGETED ANALYSIS // DIGIPLAN – Digital plans and plan data in France Annex 5 of final report Final report // June 2021 This Targeted analysis is conducted within the framework of the ESPON 2020 Cooperation Programme, partly financed by the European Regional Development Fund. The ESPON EGTC is the Single Beneficiary of the ESPON 2020 Cooperation Programme. The Single Operation within the programme is implemented by the ESPON EGTC and co-financed by the European Regional Development Fund, the EU Member States, the United Kingdom and the Partner States, Iceland, Liechtenstein, Norway and Switzerland. This delivery does not necessarily reflect the opinions of members of the ESPON 2020 Monitoring Committee. Coordination and Outreach Christian Fertner, University of Copenhagen and Piera Petruzzi, ESPON EGTC Authors Norwegian University of Life Science (Norway): Marius Grønning, Marc Le Diraison University of Copenhagen (Denmark): Christian Fertner, Sara Folvig Cite as ESPON DIGIPLAN (2021) DIGIPLAN – Digital plans and plan data in France. Annex 5 of final report. https://www.espon.eu/digiplan. Advisory group Stakeholders: Ole Pagh Schlegel and Bent Lindhardt Andersen, Danish Housing and Planning Authority, DK | Hilde Johansen Bakken, Ministry of Local Government and Modernisation, NO | Silvia Jost, Yves Maurer and Marc Pfister, Swiss Federal Office of Spatial Development, CH ESPON EGTC: Piera Petruzzi (Senior Project Expert), György Alföldy (Financial expert) Acknowledgements We thank the experts for their participation in the interviews. Information on ESPON and its projects can be found at www.espon.eu. The website provides the possibility to download and examine the most recent documents produced by finalised and ongoing ESPON projects. ISBN: 978-2-919795-63-5 © ESPON, 2021 Published in June 2021 Graphic design by BGRAPHIC, Denmark Printing, reproduction or quotation is authorised provided the source is acknowledged and a copy is forwarded to the ESPON EGTC in Luxembourg.
    [Show full text]
  • GIS for National Mapping and Charting
    copyright swisstopo GIS for National Mapping and Charting Esri® GIS Solutions in Europe GIS for National Mapping and Charting Solutions for Land, Sea, and Air National mapping organisations (NMOs) are under pressure to generate more products and services in less time and with fewer resources. On-demand products, online services, and the continuous production of maps and charts require modern technology and new workflows. GIS for National Mapping and Charting Esri has a history of working with NMOs to find solutions that meet the needs of each country. Software, training, and services are available from a network of distributors and partners across Europe. Esri’s ArcGIS® geographic information system (GIS) technology offers powerful, database-driven cartography that is standards based, open, and interoperable. Map and chart products can be produced from large, multipurpose geographic data- bases instead of through the management of disparate datasets for individual products. This improves quality and consistency while driving down production costs. ArcGIS models the world in a seamless database, facilitating the production of diverse digital and hard-copy products. Esri® ArcGIS provides NMOs with reliable solutions that support scientific decision making for • E-government applications • Emergency response • Safety at sea and in the air • National and regional planning • Infrastructure management • Telecommunications • Climate change initiatives The Digital Atlas of Styria provides many types of map data online including this geology map. 2 Case Study—Romanian Civil Aeronautical Authority Romanian Civil Aeronautical Authority (RCAA) regulates all civil avia- tion activities in the country, including licencing pilots, registering aircraft, and certifying that aircraft and engine designs are safe for use.
    [Show full text]
  • Plan4all Geoportal: Web of Spatial Data
    WWW 2012 – European Projects Track April 16–20, 2012, Lyon, France Plan4All GeoPortal: Web of Spatial Data Evangelos Sakkopoulos1, Tomas Mildorf2, Karel Charvat3, Inga Berzina4, Kai-Uwe Krause5 1University of Patras 2University of 3 Help Service 4 Zemgale 5HafenCity Computer Eng. & West Bohemia Remote Sensing Planning Universität Informatics Pilsen, Czech Republic Czech Republic Region Hamburg, Patras, Greece Latvia Germany E-mail: [email protected], [email protected], [email protected], [email protected], [email protected] ABSTRACT The Plan4all consortium is composed of 24 partners from 15 Plan4All project contributes on the harmonization of spatial data European countries. It also includes 127 affiliated partners and related metadata in order to make them available through forming a wide network of excellence in spatial data provision. Web across a linked data platform. A prototype of a Web search The Plan4all GeoPortal provides the means to search for spatial European spatial data portal is already available at data sets and spatial data services coming from all participating http://www.plan4all.eu. The key aim is to provide a methodology countries after a methodological harmonization. It allows the user and present best practices towards the standardization of spatial to view and download spatial data sets (subject to access data according to the INSPIRE principles and provide results that restrictions) and related metadata. The online Plan4all GeoPortal would be a reference material for linking data and data allows discovery and viewing of spatial data sets and services. specification from the spatial planning point of view. The results Plan4All focused mainly on the spatial planning side of spatial include methodology and implementation of multilingual search data as they included a wealth of underlying information for for data and common portrayal rules for content providers.
    [Show full text]
  • National INSPIRE Geoportal of the Czech Republic Jan Prášek, Jiří Valta, Jiří Hřebíček
    National INSPIRE Geoportal of the Czech Republic Jan Prášek, Jiří Valta, Jiří Hřebíček To cite this version: Jan Prášek, Jiří Valta, Jiří Hřebíček. National INSPIRE Geoportal of the Czech Republic. 10th International Symposium on Environmental Software Systems (ISESS), Oct 2013, Neusiedl am See, Austria. pp.425-438, 10.1007/978-3-642-41151-9_40. hal-01457473 HAL Id: hal-01457473 https://hal.inria.fr/hal-01457473 Submitted on 6 Feb 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License National INSPIRE Geoportal of the Czech Republic Jan Prášek1, Jiří Valta1, and Jiří Hřebíček2 1Czech Environmental Information Agency, Vršovická 1442/65 100 10 Praha 10, Czech Republic 2 Masaryk University, Institute of Biostatistics and Analyses Kotlářská 2, 611 37 Brno, Czech Republic {jan.prasek, jiri.valta}@cenia.cz, [email protected] Abstract Environmental information systems of the Czech Republic´s Ministry of Environment have been developed since 1990. Creation of the National In- formation System to Collect and Evaluate Information on Environmental Pollu- tion began in 2010. This project has been co-financed by the European Regional Development Fund.
    [Show full text]
  • Title: Geospatial Big Data Handling Theory and Methods: a Review and Research Challenges
    Title: Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges Authors (with equal contribution): Songnian Li *, Ryerson University, Toronto, Canada, [email protected] Suzana Dragicevic, Simon Fraser University, Vancouver, Canada, [email protected] François Anton, Technical University of Denmark, Lyngby, Denmark, [email protected] Monika Sester, Leibniz University Hannover, Germany, [email protected] Stephan Winter, University of Melbourne, Australia, [email protected] Arzu Coltekin, University of Zurich, Switzerland, [email protected] Chris Pettit, University of Melbourne, Australia, [email protected] Bin Jiang, University of Gävle, Sweden, [email protected] James Haworth, University College London, UK, [email protected] Alfred Stein, University of Twente, The Netherlands, [email protected] Tao Cheng, University College London, UK, [email protected] * Corresponding author 1 Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges Abstract: Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be classified in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and varying format of collected geospatial big data presents challenges in storing, managing, processing, analysing, visualising and verifying the quality of data. This has implications for the quality of decisions made with big data. Consequently, this position paper of the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisits the existing geospatial data handling methods and theories to determine if they are still capable of handling emerging geospatial big data.
    [Show full text]
  • INSPIRE: the Entry Point to Europe's Big Geospatial Data Infrastructure
    This is a preprint of the following chapter: Marco Minghini, Vlado Cetl, Alexander Kotsev, Robert Tomas and Michael Lutz, INSPIRE: The Entry Point to Europe’s Big Geospatial Data Infrastructure, published in Handbook of Big Geospatial Data, edited by Martin Werner and Yao-Yi Chiang, 2021, Springer International Publishing reproduced with permission of Springer International Publishing. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-55462-0_24. INSPIRE: The entry point to Europe’s Big Geospatial Data Infrastructure Marco Minghini1, Vlado Cetl1, Alexander Kotsev1, Robert Tomas1, Michael Lutz1 1 European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy [email protected], [email protected], [email protected], [email protected], [email protected] The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission. KEYWORDS: Big Data, Geoportal, INSPIRE, interoperability, Spatial Data Infrastructures ABSTRACT Initiated in 2007, the INSPIRE Directive has set a legal framework to create a European-wide Spatial Data Infrastructure (SDI) to support the European Union (EU) environmental policies. This chapter analyses the INSPIRE infrastructure from a Big Geospatial Data perspective, describing how data is shared in an interoperable way by public sector organisations in the EU Member States and how it is made available in and accessible within the infrastructure. The INSPIRE Geoportal, which is the entry point to the whole infrastructure, is presented in detail. To justify its nature of a Big Geospatial Data infrastructure, the characteristics of INSPIRE data are mapped to those of Big Data’s six ‘Vs’.
    [Show full text]
  • Spatial Data Infrastructures in Luxembourg: State of Play 2010
    Spatial Data Infrastructures in Luxembourg: State of play 2010 SPATIAL APPLICATIONS DIVISION K.U.LEUVEN RESEARCH & DEVELOPMENT Celestijnenlaan 200 E, B-3001 LEUVEN TEL.: 32 16 32 97 32 FAX: 32 16 32 97 60 URL: http://www.sadl.kuleuven.ac.be Report meta-information Title Spatial Data Infrastructures in the G.D. of Luxembourg: State of Play 2010 Creator Danny Vandenbroucke & Dimitrios Biliouris (SADL) Date Issued 2010-09-01 Subject INSPIRE State of Play Publisher K.U.Leuven (SADL + ICRI) Description This report is summarizing the review of SDI in the G.D. of Luxembourg Contributor Danny Vandenbroucke & Dimitrios Biliouris (SADL), Katleen Janssen (ICRI), Joep Crompvoets (OE) Previous Contributor Margaret Hall (Independent Consultant); Peter Beusen, Katleen Janssen (ICRI); Jos Van Orshoven, Danny Vandenbroucke (SADL); Format MS Word 97/2000 Audience INSPIRE stakeholders Identifier rcr09LUv111.doc Language EN Coverage Autumn 2009 – Spring 2010 Version number Date Modified by Comments 1.0 2002-11-05 Margaret Hall & Peter First version Beusen (ICRI) 2.0 2002-12-20 Margaret Hall Second version according to harmonized template 3.0 2002-12-20 Jos Van Orshoven Completion & harmonization (SADL) with 31 other country reports 4.0 2003-07-25 Margaret Hall Addition of executive summary, abbreviations and acronyms 5.0 2003-08-14 Jos Van Orshoven Harmonisation with 31 other (SADL) country reports 6.0 2004-06-23 Katleen Janssen (ICRI) General review, correction and update of legal framework 7.0 2004-07-02 Jos Van Orshoven Integration of information from (SADL) limited review of web sites. General review, correction and update. Addition of table pointing to changes with regard to Version 5.
    [Show full text]
  • Open Data Maturity in Europe Report 2018
    Open Data Maturity in Europe Report 2018 The European Data Portal is developed by the European Commission with the support of a consortium led by Capgemini Invent, including Intrasoft International, Fraunhofer Fokus, con.terra, Sogeti, 52North, Time.Lex, the Lisbon Council and the University of Southampton. For more information about this report, please contact: European Commission Directorate General for Communications Networks, Content and Technology Unit G.1 Data Policy and Innovation Daniele Rizzi – Policy Officer Email: [email protected] European Data Portal Dinand Tinholt – Vice President Capgemini Invent Executive lead European Data Portal Email: [email protected] Gianfranco Cecconi – Principal Consultant Capgemini Invent Project manager European Data Portal Email: [email protected] Cosmina Radu – Senior Consultant Capgemini Invent Service delivery lead European Data Portal Email: [email protected] Authors: Gianfranco Cecconi, Cosmina Radu Last update: January 2020 DISCLAIMER By the European Commission, Directorate-General of Communications Networks, Content and Technology. The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the Commission. The Commission does not guarantee the accuracy of the data included in this study. Neither the Commission nor any person acting on the Commission’s behalf may be held responsible for the use, which may be made of the information contained therein. ISBN: 978-92-78-42059-8 ISSN: 2600-0512 doi: 10.2830/593483 The reuse policy of European Commission documents is implemented by the Commission Decision 2011/833/EU of 12 December 2011 on the reuse of Commission documents (OJ L 330, 14.12.2011, p.
    [Show full text]
  • NMCA Experience Regarding Coordination Between Data Producers: Examples of Technical Solutions for Data Interoperability
    CONNECTING YOU TO THE AUTHORITATIVE GEO-INFORMATION FRAMEWORK FOR EUROPE www.eurogeographics.org NMCA experience regarding coordination between data producers: examples of technical solutions for data interoperability 29 May 2015 [email protected] ISN.15.061 Copyright ©2013 EuroGeographics Plan • Examples of good practice – Offer single access point – Make reference data – Improve data consistency CONNECTING YOU TO THE AUTHORITATIVE GEO-INFORMATION FRAMEWORK FOR EUROPE Exemples of good practice Offer single access point CONNECTING YOU TO THE AUTHORITATIVE GEO-INFORMATION FRAMEWORK FOR EUROPE Context: scattered data • It is considered as acceptable – To have several data providers for same theme – That each producer documents, transforms and provides its data as long as there is no duplication • Examples – For data on different territories • Different countries • Land / Sea – For data at different LoDs – For data belonging to different INSPIRE application schemas • road, rail, air, cable, water in theme TN • gaz, water, sewage, electricity, .. in theme US – For data belonging to same INSPIRE application schema but with independent content • Generic INSPIRE models (PS, AM, SD, …) • However, the situation is fine for data providers but not for users => solution: provide single access point CONNECTING YOU TO THE AUTHORITATIVE GEO-INFORMATION FRAMEWORK FOR EUROPE Example 1: Urbanism Geoportal (France) . Context: . existence of many restrictions and regulations . documented . in heterogeneous ways . from many actors . => very difficult to get whole information about what is allowed or not on a piece of land! . Political decision to launch the Urbanism GeoPortal . Make easier the access to urbanism and public easements documents: . Public at large . Professional users . To get legal status, from 2020, documents will have to be published on Urbanism Geoportal CONNECTING YOU TO THE AUTHORITATIVE GEO-INFORMATION FRAMEWORK FOR EUROPE Example 1: Urbanism Geoportal (France) .Project co-funded : .
    [Show full text]
  • Assessing Geoportals from a User Perspective
    Assessing geoportals from a user perspective Bastiaan van Loenen, Delft University of Technology, The Netherlands Joep Crompvoets, Katholieke Universiteit Leuven, Belgium Alenka Poplin1, HafenCity University Hamburg, Germany 1. Introduction Information economy is a powerful engine for growth, improving competitiveness and enabling jobs (The Lisbon Special European Council, 2000). It aims at improving citizens' quality of life and the environment. New digital goods and services are vital to developing information economies (The Lisbon Special European Council, 2000; see also The European Parliament, 2005). Information infrastructures are considered to be the backbone of information economies (Castells and Himanen, 2002). Within information infrastructures, geoinformation may be considered a special type of information. Geoinformation refers to all information that somehow is linked to the surface of the Earth. The specialty of geoinformation has resulted in the emerging of Spatial Data Infrastructures (SDIs) or Geographic Information Infrastructures (GIIs) (see Masser, 1999; 2007). SDIs are network-based solutions which enable easy, consistent and effective access to geo-information and services offered by public agencies and others (see Van Loenen, 2006). As a result, they enable users to save resources, time and effort when trying to acquire new data sets (Rajabifard and Williamson, 2002). SDIs therefore play a crucial role in the management of geo-information and that pertaining to the administration of our societies. In the European Union, two Directives address access to and resue of public sector information: the PSI Directive (2003/98/EC) promoting re-use of Public Sector Information and the INSPIRE Directive (2007/2/EC) aiming to establish a European SDI, promoting exchange, sharing, access and use of (environmental) geoinformation and services across the various levels of public authority and across different sectors.
    [Show full text]
  • Geoportal As Decision Support System with Spatial Data Warehouse
    Proceedings of the Federated Conference on ISBN 978-83-60810-51-4 Computer Science and Information Systems pp. 915–918 Geoportal as Decision Support System with Spatial Data Warehouse Almir Karabegovic Mirza Ponjavic University of Sarajevo, Faculty of University of Sarajevo, Electrical Engineering, Department for Faculty of Civil Engineering, Computer Science and Informatics, Department of Geodesy, Kampus Univerziteta, 71000 Sarajevo, Patriotske lige 30, 71000 Sarajevo, Bosnia and Herzegovina Bosnia and Herzegovina Email: [email protected] Email: [email protected] Intelligence (LI) has the capacity to organize and understand Abstract— There is increasing interest of organization for complex phenomena, through the use of geographic advanced presentation and data analysis for public users. This relationships, which are inherent in all information. By paper shows how to integrate data from enterprise data combining geographic- and location-related data with other warehouse with spatial data warehouse, publish them together to online interactive map, and enable public users to perform business data, organizations can gain critical insights, make analysis in simple web interface. As case study is used Business better decisions and optimize important processes and Intelligence System for Investors, where data comes from applications. Location Intelligence offers opportunity that different sources different levels, structured and unstructured. organizations streamline their business processes and This approach has three phases: creating spatial data customer relationships to improve performance and results. warehouse, implementing ETL (extract, transform and load) The growing availability of geospatial data and the procedure for data from different sources (spatial and non- spatial) and, finally, designing interface for performing data demand for better analytic insight have helped to move analysis.
    [Show full text]
  • The Integrated Geospatial Information Framework
    The Integrated Geospatial Information Framework THE GUYANA EXPERIENCE Cooperative Republic of Guyana • Population: 750,000* • Official Language: English • Total Area: 215,000 km² • Traditional Economic Base: • Agriculture • Forestry • Mining • Emerging Oil Economy • On a Green State Development Trajectory • Real GDP Growth:** 4.7% (2019) • Projected 51.7% (2020) Source: GLSC, 2020 Sources:*Bureau of Statistics, 2020 est.; **The World Bank, April 2020 IMPLEMENTING IGIF: THE GUYANA EXPERIENCE 1. MILESTONES ON THE JOURNEY TO IGIF DEVELOPMENT A. Overview of Key Milestones B. Refocused Mandate of National Geospatial & Mapping Agency - GLSC C. Mainstreaming SLDM Project – Assisted with funding, partnerships, capacity building, technical support for IGIF D. National Geospatial Information Policy – Aligned to Overarching Strategic Framework E. NSDI Road Map – Expression of IGIF Country Level Action Plan 2. IMPLEMENTING IGIF A. Implementation Status B. Reflections 1. MILESTONES ON THE JOURNEY TO IGIF DEVELOPMENT THE GUYANA EXPERIENCE A. OVERVIEW OF KEY MILESTONES ON GUYANA’S ROAD TO IGIF • April 2016- Refocus of NMGA (GLSC) mandate begins under new leadership August • June 2017 – GLSC becomes National Focal Point for UNGGIM. Consistent 2018 participation in UNGGIM Events and Expert Groups (FELA) • 2018 – Operationalisation commenced for 4-year GRIF /UNFAO enabled Mainstreaming SLDM Project • June 2018 - Formulation and alignment of National GI Policy with IGIF (with ECLAC support) • August 2018 – Began re-establishment of National GNSS CORS Network (with OS) • Jan 2019 – Adoption of NSDI Road Map: Expression of an IGIF Country Level Action Plan (under SLDM Project) • 2019 - International first-hand exposure to NSDIs and best practices within geospatial sector through study tours to Jamaica, Cayman Islands, UK (OS, Geovation, Geospatial Commission), Netherlands (Dutch Cadastre, UoT), Serbia (RGA), Italy (UNFAO).
    [Show full text]