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19th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Hrustek, Larisa Mekovec, Renata Alexopolus, Charalampos Univ Zagreb Fac Org & Informat Pavlinska 2 Varazhdin Croatia Univ Aegean Dept Informat & Commun Syst Engn Karlovassi 83200 Samos Greece

ISBN: (纸本)9783031306938;9783031306945

Today, data is seen as the starting point for change and innovation in business and management processes. Since the goal of an open data ecosystem is for stakeholders to actively create and use data, their needs must be clearly identified and defined. An analysis of the ecosystem's key elements, characteristics, and modes of operation is required to create an environment that efficiently harnesses the full potential in the creation, use, and reuse of data. This paper proposes an approach for developing a conceptual model of the open data ecosystem in a given environment based on the identified key elements and their characteristics. The following key elements of the open data ecosystem are: Stakeholders, data, Infrastructure, and Policy/Governance. The identified elements require detailed engagement and elaboration within the open data ecosystem. By clearly identifying these elements, a strong and resilient open data ecosystem can be analyzed and built in any industry such as agriculture, transport, education, law, finance and other potential field or specific field in the public sector, contributing to long-term growth and development.

关键词： ecosystem Approach open data ecosystem Elements open data

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Systemic change, open data ecosystem performance improvements, and empirical insights from Estonia: A country-level action research study

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INFORMATION POLITY 2020年第3期25卷 377-402页

作者： McBride, Keegan Olesk, Maarja Kutt, Andres Shysh, Diana Tallinn Univ Technol Ragnar Nurkse Dept Innovat & Governance Akadeemia Tee 15aRoom 647 EE-12618 Tallinn Estonia Tallinn Univ Technol Dept Software Sci Informat Syst Res Grp Tallinn Estonia Tallinn Univ Technol GovAiLab Tallinn Estonia Proud Engineers Tallinn Estonia

The purpose of this paper is to provide an overview of how Estonia used action research and systems theory to improve the performance their open Government data (OGD) ecosystem. This paper understands performance of OGD ecosystems of as consisting of three parts: 1) OGD supply, 2) OGD usage, 3) communication, interaction, and linkages between OGD suppliers and users. It was believed that by taking a holistic approach, encouraging transparency and co-creation, and manipulating feedback loops it was possible to improve the performance of the ecosystem. The research uses and validates previous research on open government data ecosystems and by doing so also achieved increased levels of performance in Estonia's OGD ecosystem. The paper's main contributions are the creation of a framework based on systems theory, systems thinking, and action research for enacting strategic change in OGD ecosystems, conceptualizing feedback loops as a core part of OGD ecosystems, and the conceptualization of performance in OGD ecosystems. The paper concludes by offering nine core insights related to OGD ecosystems and their performance.

关键词： Systems theory open data open data ecosystem systems thinking feedback loops system performance Government

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Business Roles in the Emerging open-data ecosystem

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IEEE SOFTWARE 2016年第5期33卷 54-59页

作者： Lindman, Juho Kinnari, Tomi Rossi, Matti Hanken Sch Econ Informat Syst Sci Helsinki Finland Aalto Univ Sch Business Espoo Finland Aalto Univ Sch Business Informat Syst Espoo Finland

Software specialists know the merits of information visualizations, mashups, and other types of open- data enrichments. Commercial services based on these enrichments hold potential as new businesses. A proposed model... 详细信息

关键词： Business data Processing data Handling Business Role open data ecosystem Information Visualization Software Specialists Customer Needs data Resources Computer Applications data Models Software Development data Mining data Visualization Mobile Communication data databases Business Computer Applications Software Development Software Engineering

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Navigating open data ecosystems: Exploring Engagement in the Use of Local Governments open Geodata 24

Navigating Open Data Ecosystems: Exploring Engagement in the...

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17th International Conference on Theory and Practice of Electronic Governance

作者： Lopez-Reyes, Maria Elena Larsen, Birger Mulder, Ingrid Magnussen, Rikke Aalborg Univ Dept Commun & Psychol Aalborg Denmark Delft Univ Technol Dept Human Ctr Design Delft Netherlands

ISBN: (纸本)9798400717802

This research paper examines the use of open geodata provided by local governments in Denmark within an open data ecosystem. It aims to understand how this influences the engagement of participants using the local government's open geodata to achieve specific purposes within an open data ecosystem. The study involves seven organisations utilising local government open geodata on outdoor facilities. The findings suggest that various interrelations in the open data ecosystem influence engagement in using local government open geodata. The results also show that the interrelations in the open data ecosystem can differ depending on the stages of utilising local government open geodata. These stages are categorised on their objectives as (1) obtain, (2) transform, and (3) sustain local government open geodata use. The hypothesis proposes that exploring the underlying purposes and the interrelations across the stages of utilising local government open data can illuminate strategies to enhance the impact of local governments' open data initiatives. The research aims to provide a theoretical framework for evaluating and monitoring local government open data use from an open data ecosystem perspective, benefiting policymakers, practitioners, and researchers. Further research is needed to explore whether using the theoretical framework can serve as an analytical tool that provides insights into developing strategies.

关键词： open data ecosystem Local Governments open Geodata Interrelations Engagement

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Sustainable open data ecosystems in smart cities: A platform theory-based analysis of 19 European cities

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CITIES 2024年 148卷

作者： Lnenicka, Martin Nikiforova, Anastasija Clarinval, Antoine Luterek, Mariusz Rudmark, Daniel Neumaier, Sebastian Kevic, Karlo Bolivar, Manuel Pedro Rodriguez Univ Pardubice Fac Econ & Adm Pardubice Czech Republic Univ Tartu Fac Sci & Technol Tartu Estonia Univ Namur Namur Digital Inst Namur Belgium Univ Warsaw Fac Journalism Informat & Book Studies Warsaw Poland Univ Gothenburg Swedish Ctr Digital Innovat Gothenburg Sweden Swedish Natl Rd & Transport Res Inst Gothenburg Sweden St Polten Univ Appl Sci St Polten Austria Univ Zagreb Fac Geodesy Zagreb Croatia Univ Granada Fac Business Studies Dept Accounting & Finance Granada Spain

An understanding of how modern open data ecosystems (ODEs) work is critical in the context of current trends towards sustainability and smartness, while is seen to be an asset to support urban governance and development, in coordinating actions, and fostering civic engagement. This paper aims to establish such understanding by analyzing the contextual patterns, platforms, and components shaping sustainable ODEs by employing platform theory. This study explores and compares characteristics, similarities, differences, and best approaches in 19 cities across 8 countries. In this study we (1) identify 50 patterns that influence and shape sustainable ODEs and their platforms, i.e., open data Platform ecosystems (ODPEs);(2) explore the relationships between platforms and other ODPEs components by developing a respective model, and identifying internal platforms and other components;(3) empirically validate the conceptual findings of five types of ODPEs presented in the literature, redefining them from the conceptual to real-life implementation of the respective components in sample cities;(4) considering the experience gained during the study with respect to the ODPEs and external pressures and environments that shape or influence them, we define 12 recommendations for policy planning and urban governance of more sustainable ODEs.

关键词： open data ecosystem open data platform ecosystem Smart city Multi -country comparative study Urban development Urban governance

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Investigating Actors and Infrastructure in open data ecosystems (ODEs): A Conceptual Model 21st

Investigating Actors and Infrastructure in Open Data Ecosyst...

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21st European, Mediterranean, and Middle Eastern Conference on Information Systems

作者： Ali, Mohsan Virkar, Shefali Alexopoulos, Charalampos Charalabidis, Yannis Univ Aegean Mitilini Greece Vienna Univ Econ & Business Vienna Austria

ISBN: (纸本)9783031813214;9783031813221

open data ecosystems are complex socio-technical systems. Various research studies analyze the components, actors, roles, and their relations in order to provide a better understanding of the ecosystem and the value it creates. Even though the previous studies identify the basic elements of the open data ecosystems, there is a research gap towards their connection with the infrastructural elements that support their inclusion and well-functioning in the ecosystem. The current study addresses this gap by applying a systematic literature review to identify the actors and their roles, as well as how these roles are connected to the open data infrastructural elements. As a result, a conceptual model of this analysis has been created.

关键词： open data ecosystem open data Infrastructure Stakeholders Actors

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Application of an ecosystem Methodology Based on Legal Language Processing for the Transformation of Court Decisions and Legal Opinions into open data

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INFORMATION 2020年第1期11卷 10-10页

作者： Garofalakis, John Plessas, Konstantinos Plessas, Athanasios Spiliopoulou, Panoraia Univ Patras Dept Comp Engn & Informat Patras 26504 Greece Natl & Kapodistrian Univ Athens Sch Law Athens 10653 Greece

Regulation of modern societies requires the generation of large sets of heterogeneous legal documents: bills, acts, decrees, administrative decisions, court decisions, legal opinions, circulars, etc. More and more legal publishing bodies publish these documents online, although usually in formats that are not machine-readable and without following open data principles. Until an open by default generation and publication process is employed, ex-post transformation of legal documents into Legal open data is required. Since manual transformation is a time-consuming and costly process, automated methods need to be applied. While some research efforts toward the automation of the transformation process exist, the alignment of such approaches with proposed open data methodologies in order to promote data exploitation is still an open issue. In this paper, we present a methodology aligned to the open data ecosystem approach for the automated transformation of Greek court decisions and legal opinions into Legal open data that builds on legal language processing methods and tools. We show that this approach produces Legal open data of satisfying quality while highly reducing the need for manual intervention.

关键词： Akoma Ntoso legal open data legal big data open data ecosystem natural language processing domain specific language legal parsing

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open data ecosystems-An empirical investigation into an emerging industry collaboration concept

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JOURNAL OF SYSTEMS AND SOFTWARE 2021年 182卷 111088-111088页

作者： Runeson, Per Olsson, Thomas Linaker, Johan Lund Univ Dept Comp Sci Lund Sweden RISE Res Inst Sweden AB Syst Engn Lund Sweden

Software systems are increasingly depending on data, particularly with the rising use of machine learning, and developers are looking for new sources of data. open data ecosystems (ODE) is an emerging concept for data sharing under public licenses in software ecosystems, similar to open Source Software (OSS). It has certain similarities to open Government data (OGD), where public agencies share data for innovation and transparency. We aimed to explore open data ecosystems involving commercial actors. Thus, we organized five focus groups with 27 practitioners from 22 companies, public organizations, and research institutes. Based on the outcomes, we surveyed three cases of emerging ODE practice to further understand the concepts and to validate the initial findings. The main outcome is an initial conceptual model of ODEs' value, intrinsics, governance, and evolution, and propositions for practice and further research. We found that ODE must be value driven. Regarding the intrinsics of data, we found their type, meta-data, and legal frameworks influential for their openness. We also found the characteristics of ecosystem initiation, organization, data acquisition and openness be differentiating, which we advise research and practice to take into consideration. (C) 2021 The Author(s). Published by Elsevier Inc.

关键词： open data open data ecosystem open innovation Empirical study

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From the Evolution of Public data ecosystems to the Evolving Horizons of the Forward-Looking Intelligent Public data ecosystem Empowered by Emerging Technologies 23rd

From the Evolution of Public Data Ecosystems to the Evolving...

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23rd International Conference on Electronic Government (EGOV)

作者： Nikiforova, Anastasija Lnenicka, Martin Milic, Petar Luterek, Mariusz Rodriguez Bolivar, Manuel Pedro Univ Tartu Tartu Estonia Univ Hradec Kralove Hradec Kralove Czech Republic Univ Pristina Kosovska Mitrovica Kosovska Mitrovica Serbia Univ Warsaw Warsaw Poland Univ Granada Granada Spain

ISBN: (纸本)9783031702730;9783031702747

Public data ecosystems (PDEs) represent complex socio-technical systems crucial for optimizing data use in the public sector and outside it. Recognizing their multifaceted nature, previous research proposed a six-generation Evolutionary Model of Public data ecosystems (EMPDE). Designed as a result of a systematic literature review on the topic spanning three decades, this model, while theoretically robust, necessitates empirical validation to enhance its practical applicability. This study addresses this gap by validating the theoretical model through a real-life examination in five European countries - Latvia, Serbia, Czech Republic, Spain, and Poland. This empirical validation provides insights into PDEs dynamics and variations of implementations across contexts, particularly focusing on the 6th generation of forward-looking PDE generation named "Intelligent Public data Generation" which represents a paradigm shift driven by emerging technologies such as cloud computing, Artificial Intelligence (AI), Natural Language Processing tools, Generative AI, and Large Language Models with potential to contribute to both automation and augmentation of business processes within these ecosystems. By transcending their traditional status as a mere component, evolving into both an actor and a stakeholder simultaneously, these technologies catalyse innovation and progress, enhancing PDE management strategies to align with societal, regulatory, and technical imperatives in the digital era.

关键词： AI Artificial Intelligence Emerging Technologies Evolution Model Generative AI open Government data open data ecosystem Public data ecosystem Socio-technical systems Systems theory

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Exploring open government data ecosystems across data, information, and business

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GOVERNMENT INFORMATION QUARTERLY 2024年第2期41卷

作者： Fang, Jun Zhao, Longwen Li, Shuting South China Univ Technol Dept Elect Business Guangzhou 510006 Peoples R China

Although the open Government data (OGD) movement is flourishing globally, the large-scale utilization and value creation of OGD has not really opened yet, which is far from the goal and expectation of data openness. Guiding the practice of OGD with the concept of "ecosystem" can help promote the efficient utilization and value realization of data. From the perspective of the whole process of OGD utilization, ecosystems have various types of ecological characteristics such as data flow, information expression and value realization. To this end, this paper proposes a new perspective of viewing OGD ecosystems across data, information and business based on the theories of supernetworks, data value chains, information ecosystems and business ecosystems, and further explores the ecosystems through a case study in Guizhou, China. We conclude that the hierarchical division of OGD ecosystems as a whole is clearer, and the focus of each layer is more focused;the cross-level dynamics mechanism of the ecosystem, and the information transmission mechanism assumed by the information ecosystem make the three layers interact with each other;and the different actors play different roles in the three layers and occupy different ecological position. This study provides useful reference for OGD practice and also expands new ideas and space for theoretical research and application practice of the ecosystem approach.

关键词： open government data open data ecosystem open data utilization Information ecosystem Business ecosystem Hybrid ecosystem

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