Open Data as a Foundation for Innovation: The Enabling Effect of Free Public Sector Information for Entrepreneurs

Lakomaa, Erik; Kallberg, Jan

doi:10.1109/access.2013.2279164

Cited by 84 publications

(50 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Open Data is brought forward as an enabler for innovation and entrepreneurship, e.g., by Lakomaa and Kallberg [9]. However, this refers to public agencies opening up their data to private companies, not -like in the OSS case -companies sharing between them.…”

Section: Background -Commercial Openness and Datamentioning

confidence: 99%

Open Collaborative Data - using OSS Principles to Share Data in SW Engineering

Runeson

2019

2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

View full text Add to dashboard Cite

Reliance on data for software systems engineering is increasing, e.g., to train machine learning applications. We foresee increasing costs for data collection and maintenance, leading to the risk of development budgets eaten up by commodity features, thus leaving little resources for differentiation and innovation. We therefore propose Open Collaborative Data (OCD) -a concept analogous to Open Source Software (OSS) -as a means to share data. In contrast to Open Data (OD), which e.g., governmental agencies provide to catalyze innovation, OCD is shared in open collaboration between commercial organizations, similar to OSS. To achieve this, there is a need for technical infrastructure (e.g., tools for version and access control), licence models, and governance models, all of which have to be tailored for data. However, as data may be sensitive for privacy, anonymization and obfuscation of data is also a research challenge. In this paper, we define the concept of Open Collaborative Data, demonstrate it by map data and image recognition examples, and outline a research agenda for OCD in software engineering as a basis for more efficient evolution of software systems.

show abstract

Section: Background -Commercial Openness and Datamentioning

confidence: 99%

Open Collaborative Data - using OSS Principles to Share Data in SW Engineering

Runeson

2019

2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

View full text Add to dashboard Cite

show abstract

“…Fig. 1 explains the spheres of e-government and open data [27]. It shows how technology may interact with communication and legal aspects.…”

Section: Open Government Datamentioning

confidence: 99%

Outstanding Challenges in Recent Open Government Data Initiatives

Algemili¹

2016

IJEEEE

View full text Add to dashboard Cite

Abstract:In recent years, we have witnessed increasing interest in government data. Many governments around the world have sensed the value of its passive data sets. These governments started their Open Data policies, yet many countries are on the way converting raw data into useful representation. This paper surveys the previous efforts of Open Data initiatives. It discusses the various challenges that open data projects may encounter during the transformation from passive data sets towards Open Data culture. It reaches out project teams acquiring their practical assessment. Thus, an online form has been distributed among project teams. The questionnaire was developed in alignment with previous literature of data integration challenges. 138 eligible professional participated, and their responds has been analyzed by the researcher. The result section identifies the most critical challenges from project-teams' point-of-view, and the findings show four obstacles that stand out as critical challenges facing project teams. This paper casts on these challenges, and it attempts to indicate the missing gap between current guidelines and practical experience. Accordingly, this paper presents the current infrastructure of Open Data framework followed by additional recommendations that may lead to successful implementation of Open Data development.

show abstract

“…OGD can be thought of as an innovation to help government agencies achieve the principles of Open Government, including transparency, participation and collaboration (YANG and WU, 2016). According to Lakomaa and Kallberg (2013), Open Data is essential for innovation in applications and information services, influencing the innovative process in many ways. Conversely, the absence of the Open Data retards the innovative process and, in these circumstances, impedes the beginning of business innovation (LAKOMAA and KALLBERG, 2013).…”

Section: Figure 3 -Dimensions and Number Of Studiesmentioning

confidence: 99%

“…According to Lakomaa and Kallberg (2013), OGD is essential in applications and information services innovations, influencing the innovative process in many ways. In this sense, Hellberg and Hedström (2015) point out that many of policies that addressed the reuse of public data consider OGD as an engine for innovation.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…According to Lakomaa and Kallberg (2013), Open Data is essential for innovation in applications and information services, influencing the innovative process in many ways. Conversely, the absence of the Open Data retards the innovative process and, in these circumstances, impedes the beginning of business innovation (LAKOMAA and KALLBERG, 2013). Gonzalez-Zapata and Heeks (2015) pointed out that OGD is an innovation from the technological perspective, with changes performed by technical professionals in ICT and the involvement and availability of new design formats, processes and data standards.…”

Section: Figure 3 -Dimensions and Number Of Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Open Government Data: Concepts, Approaches and Dimensions Over Time

Klein

Klein²,

Luciano

2018

E&G

View full text Add to dashboard Cite

Government Open Data (DAG) is free, open and available data by public organizations and can be used in projects or integrated with new products, applications or services. Research in the OGD area has grown substantially in recent years, addressing several different conceptual approaches and dimensions. It is important to understand the concept over time as a way to better conceive researches based on contemporary approaches. Therefore, the present study aims to review and categorize existing researches about OGD, identifying which approaches are being adopted, which are the research strategies used, how the concept evolves and which are the most referenced articles. This study analyzed and categorized researches about OGD through a systematic literature review covering 193 publications presented in the main databases. Papers were analyzed through content analysis, through the steps of reduction, display, conclusion and double blind verification. The researches were classified into seven dimensions and under ten different approaches. Concurrently with the development of OGD global initiatives, new scientific papers tend to direct their focus to issues such as data quality and accountability. Through the results of this research it is possible to identify widely discussed approaches and those that can be further explored, as well as the development of the OGD concept over time and its dimensions.Keywords: Open Data; Open Government Data; Open Data approaches; Open Data dimensions.E&G Economia e Gestão, Belo Horizonte, v. 18, n. 49, Jan./Abr. 2018 5 RESUMOOs Dados Abertos Governamentais (DAG) são dados livres, abertos e disponíveis por organizações públicas e podem ser usados em projetos ou integrados a novos produtos, aplicativos ou serviços. A pesquisa na área de DAG cresceu substancialmente nos últimos anos com diferentes abordagens e dimensões conceituais, tornando importante compreender o conceito ao longo do tempo. Portanto, o presente estudo tem como objetivo analisar e categorizar as pesquisas existentes sobre DAG, identificando quais abordagens estão sendo adotadas, quais são as estratégias de pesquisa utilizadas, como o conceito evolui e quais são os artigos mais referenciados. Este estudo analisou e categorizou pesquisas sobre DAG através de uma revisão sistemática da literatura que abrange 193 publicações apresentadas nas principais bases de dados. Os documentos foram analisados através da análise de conteúdo, com etapas de redução, exibição, conclusão e verificação duplo-cego. As pesquisas foram classificadas em sete dimensões e em dez abordagens diferentes. Paralelamente ao desenvolvimento das iniciativas globais da DAG, novos trabalhos científicos tendem a direcionar seu foco para questões como a qualidade dos dados e a responsabilização. Através dos resultados desta pesquisa, é possível identificar abordagens amplamente discutidas e as que podem ser exploradas, bem como o desenvolvimento do conceito DAG ao longo do tempo e suas dimensões.

show abstract

Open Data as a Foundation for Innovation: The Enabling Effect of Free Public Sector Information for Entrepreneurs

Abstract: Public open data access has a direct impact on future IT entrepreneurs' perception of ability to execute their business plans. Using high quality (50%-98% response rate)

Cited by 84 publications

References 4 publications

Open Collaborative Data - using OSS Principles to Share Data in SW Engineering

Open Collaborative Data - using OSS Principles to Share Data in SW Engineering

Outstanding Challenges in Recent Open Government Data Initiatives

Open Government Data: Concepts, Approaches and Dimensions Over Time

Contact Info

Product

Resources

About