Anneke Zuiderwijk
Biographic Data
| ID | 1149511 |
|---|---|
| NAME | Anneke Zuiderwijk |
| GIVEN NAMES | Anneke |
| FAMILY NAME | Zuiderwijk |
| SIGNATURE | ZUIDERWIJK A |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0002-3552-7289 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 153 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 4 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 6 |
Data sovereignty does matter! Effects on trust, perceived risk, and willingness to share (business) data
[Abstract] The data economy relies on interorganizational data sharing, which has become a key driver of value creation in many industries. In emerging settings such as data marketplaces and ecosystems, businesses can control their shared data, triggering political and academic debates over data sovereignty. Yet, we lack empirical evidence on the extent to which data sovereignty matters for data providers. This study theorizes the impact of data …
Open Data and Equity
Open data fall short of their goal to empower all social groups equally. Although the literature examines this issue through the concept of inclusion, substantial gaps remain in defining and understanding the implications of open data for equity in public administration, with research on this topic scattered across disciplines. This fragmentation hinders the possibility of evaluating public policies. To address this gap, we ask: What is the state…
Researchers’ Willingness and Ability to Openly Share Their Research Data
While previous studies show that the drivers and inhibitors for openly sharing research data are diverse and complex, there is a lack of studies empirically examining the influence of the COVID-19 pandemic on researchers’ open data sharing behavior. Using a questionnaire ( n = 135), this study investigates the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their research data. Fifty-one resp…
Towards sustainable public and open data ecosystems
Integral system safety for machine learning in the public sector
This paper introduces systems theory and system safety concepts to ongoing academic debates about the safety of Machine Learning (ML) systems in the public sector. In particular, we analyze the risk factors of ML systems and their respective institutional context, which impact the ability to control such systems. We use interview data to abductively show what risk factors of such systems are present in public professionals' perceptions and what f…
Implications of the use of artificial intelligence in public governance
Open data policy-making
This section presents a selection of papers on open data policy-making from the 19th Annual International Conference on Digital Government Research 2018 (dg.o 2018). To position the research discussed in this section meaningfully, our introductory article aims to create an overview of the state-of-the-art of open data policy-making research and to derive an emerging research agenda from this overview. We found that much research has been done in …
Open data via websites of Brazilian Superior Courts of Justice
We discuss how Brazilian Judicial branch websites have been adapted in face of the necessity to comply with open data guidelines of Access to Information Act (In Portuguese, Lei de Acesso à Informação – LAI). We introduce the idea of social control potential brought by information and communication technologies (ICT). Then, we present a comparative analysis between data collected in 2013 and 2017 with a structured form to check on websites of mai…
How to guarantee the right to use PSI in the age of open data
With increasing importance of data, the interest in the availability of public sector information (PSI) has also increased. Because of its public attributes, PSI directly impacts the national administration as well as the lives of citizens. With the changing technological environment, the value of data is observed to change along with the manner in which data exist and the manner in which data are handled. Further, the usage of PSI should be easy…
Investigating the attainment of open government data objectives
The objectives of open government data initiatives range from enhancing transparency and accountability to increasing innovation and participation. However, there is a lack of knowledge of the extent to which the objectives of open government data initiatives are achieved. This article investigates the relationship between the objectives of open government data initiatives and the benefits delivered. A total of 168 survey responses concerning 156…
The US open data initiative
The last decade as witnessed the development of Open Government Data programs with the promise of improved transparency, accountability and innovation. Capitalizing on those benefits translates into the development of better public policy and the promotion of economic development. Research in the domain has emphasized on technical issues, and we still lack a clear understanding of the main conditions to promote successful Open Government Data pro…
Open innovation in the public sector
The wicked problem of commercial value creation in open data ecosystems
Creating commercial value through open data use in open data ecosystems is a wicked problem. This problem is characterized by a lack of specific formulation, complex interactions amongst a variety of stakeholders, a lack of criteria determining a satisfactory solution, including what constitutes `value', and uncertain outcomes. Wicked problems cannot be solved by only considering part of the problem. Yet, open data efforts all too often focus mai…
Acceptance and use predictors of open data technologies
Policy-makers expect that open data will be accepted and used more and more, resulting in a range of benefits including transparency, participation and innovation. The ability to use open data partly depends on the availability of open data technologies. However, the actual use of open data technologies has shown mixed results, and there is a paucity of research on the predictors affecting the acceptance and use of open data technologies. A bette…
Towards decision support for disclosing data
The disclosure of open government data is a complex activity that may create public value yet might also encounter risks, such as the misinterpretation and misuse of data. While politicians support data release and assume that the positive value of open data will dominate, many governmental organizations are reluctant to open their data, as they are afraid of the dark side. The objective of this paper is to provide a decision-making model that as…
Infomediary Business Models for Connecting Open Data Providers and Users
Many public organizations are opening their data to the general public and embracing social media in order to stimulate innovation. These developments have resulted in the rise of new, infomediary business models, positioned between open data providers and users. Yet the variation among types of infomediary business models is little understood. The aim of this article is to contribute to the understanding of the diversity of existing infomediary …
Benchmarks for Evaluating the Progress of Open Data Adoption
Public organizations release their data for use by the public to open the government. Various benchmarks for evaluating the progress of open data adoption have emerged recently. In order to help bring about a better understanding of the common and differentiating elements in open data benchmarks and to identify the methodologies and metrics affecting their variation, this article compares open data benchmarks and describes lessons learned from th…
Open data policies, their implementation and impact
Innovation with open data
Open data ecosystems are expected to bring many advantages, such as stimulating citizen participation and innovation. However, scant attention has been given to what constitutes an open data ecosystem. The objective of this paper is to provide an ove
Benefits, Adoption Barriers and Myths of Open Data and Open Government
In this article, based on data collected through interviews and a workshop, the benefits and adoption barriers for open data have been derived. The results suggest that a conceptually simplistic view is often adopted with regard to open data, which automatically correlates the publicizing of data with use and benefits. Also, five “myths” concerning open data are presented, which place the expectations within a realistic perspective. Further, the …
Open data policies, their implementation and impact
Innovation with open data
Open data ecosystems are expected to bring many advantages, such as stimulating citizen participation and innovation. However, scant attention has been given to what constitutes an open data ecosystem. The objective of this paper is to provide an ove
Acceptance and use predictors of open data technologies
Policy-makers expect that open data will be accepted and used more and more, resulting in a range of benefits including transparency, participation and innovation. The ability to use open data partly depends on the availability of open data technologies. However, the actual use of open data technologies has shown mixed results, and there is a paucity of research on the predictors affecting the acceptance and use of open data technologies. A bette…
Open innovation in the public sector
Benchmarks for Evaluating the Progress of Open Data Adoption
Public organizations release their data for use by the public to open the government. Various benchmarks for evaluating the progress of open data adoption have emerged recently. In order to help bring about a better understanding of the common and differentiating elements in open data benchmarks and to identify the methodologies and metrics affecting their variation, this article compares open data benchmarks and describes lessons learned from th…
Towards decision support for disclosing data
The disclosure of open government data is a complex activity that may create public value yet might also encounter risks, such as the misinterpretation and misuse of data. While politicians support data release and assume that the positive value of open data will dominate, many governmental organizations are reluctant to open their data, as they are afraid of the dark side. The objective of this paper is to provide a decision-making model that as…
The wicked problem of commercial value creation in open data ecosystems
Creating commercial value through open data use in open data ecosystems is a wicked problem. This problem is characterized by a lack of specific formulation, complex interactions amongst a variety of stakeholders, a lack of criteria determining a satisfactory solution, including what constitutes `value', and uncertain outcomes. Wicked problems cannot be solved by only considering part of the problem. Yet, open data efforts all too often focus mai…
Infomediary Business Models for Connecting Open Data Providers and Users
Many public organizations are opening their data to the general public and embracing social media in order to stimulate innovation. These developments have resulted in the rise of new, infomediary business models, positioned between open data providers and users. Yet the variation among types of infomediary business models is little understood. The aim of this article is to contribute to the understanding of the diversity of existing infomediary …
Investigating the attainment of open government data objectives
The objectives of open government data initiatives range from enhancing transparency and accountability to increasing innovation and participation. However, there is a lack of knowledge of the extent to which the objectives of open government data initiatives are achieved. This article investigates the relationship between the objectives of open government data initiatives and the benefits delivered. A total of 168 survey responses concerning 156…
Integral system safety for machine learning in the public sector
This paper introduces systems theory and system safety concepts to ongoing academic debates about the safety of Machine Learning (ML) systems in the public sector. In particular, we analyze the risk factors of ML systems and their respective institutional context, which impact the ability to control such systems. We use interview data to abductively show what risk factors of such systems are present in public professionals' perceptions and what f…
The US open data initiative
The last decade as witnessed the development of Open Government Data programs with the promise of improved transparency, accountability and innovation. Capitalizing on those benefits translates into the development of better public policy and the promotion of economic development. Research in the domain has emphasized on technical issues, and we still lack a clear understanding of the main conditions to promote successful Open Government Data pro…
Benefits, Adoption Barriers and Myths of Open Data and Open Government
In this article, based on data collected through interviews and a workshop, the benefits and adoption barriers for open data have been derived. The results suggest that a conceptually simplistic view is often adopted with regard to open data, which automatically correlates the publicizing of data with use and benefits. Also, five “myths” concerning open data are presented, which place the expectations within a realistic perspective. Further, the …
Infomediary Business Models for Connecting Open Data Providers and Users
Many public organizations are opening their data to the general public and embracing social media in order to stimulate innovation. These developments have resulted in the rise of new, infomediary business models, positioned between open data providers and users. Yet the variation among types of infomediary business models is little understood. The aim of this article is to contribute to the understanding of the diversity of existing infomediary …
Benchmarks for Evaluating the Progress of Open Data Adoption
Public organizations release their data for use by the public to open the government. Various benchmarks for evaluating the progress of open data adoption have emerged recently. In order to help bring about a better understanding of the common and differentiating elements in open data benchmarks and to identify the methodologies and metrics affecting their variation, this article compares open data benchmarks and describes lessons learned from th…
Open data policies, their implementation and impact
Innovation with open data
Open data ecosystems are expected to bring many advantages, such as stimulating citizen participation and innovation. However, scant attention has been given to what constitutes an open data ecosystem. The objective of this paper is to provide an ove
Acceptance and use predictors of open data technologies
Policy-makers expect that open data will be accepted and used more and more, resulting in a range of benefits including transparency, participation and innovation. The ability to use open data partly depends on the availability of open data technologies. However, the actual use of open data technologies has shown mixed results, and there is a paucity of research on the predictors affecting the acceptance and use of open data technologies. A bette…
Towards decision support for disclosing data
The disclosure of open government data is a complex activity that may create public value yet might also encounter risks, such as the misinterpretation and misuse of data. While politicians support data release and assume that the positive value of open data will dominate, many governmental organizations are reluctant to open their data, as they are afraid of the dark side. The objective of this paper is to provide a decision-making model that as…
Open innovation in the public sector
The wicked problem of commercial value creation in open data ecosystems
Creating commercial value through open data use in open data ecosystems is a wicked problem. This problem is characterized by a lack of specific formulation, complex interactions amongst a variety of stakeholders, a lack of criteria determining a satisfactory solution, including what constitutes `value', and uncertain outcomes. Wicked problems cannot be solved by only considering part of the problem. Yet, open data efforts all too often focus mai…
Open data policy-making
This section presents a selection of papers on open data policy-making from the 19th Annual International Conference on Digital Government Research 2018 (dg.o 2018). To position the research discussed in this section meaningfully, our introductory article aims to create an overview of the state-of-the-art of open data policy-making research and to derive an emerging research agenda from this overview. We found that much research has been done in …
Open data via websites of Brazilian Superior Courts of Justice
We discuss how Brazilian Judicial branch websites have been adapted in face of the necessity to comply with open data guidelines of Access to Information Act (In Portuguese, Lei de Acesso à Informação – LAI). We introduce the idea of social control potential brought by information and communication technologies (ICT). Then, we present a comparative analysis between data collected in 2013 and 2017 with a structured form to check on websites of mai…
How to guarantee the right to use PSI in the age of open data
With increasing importance of data, the interest in the availability of public sector information (PSI) has also increased. Because of its public attributes, PSI directly impacts the national administration as well as the lives of citizens. With the changing technological environment, the value of data is observed to change along with the manner in which data exist and the manner in which data are handled. Further, the usage of PSI should be easy…
Investigating the attainment of open government data objectives
The objectives of open government data initiatives range from enhancing transparency and accountability to increasing innovation and participation. However, there is a lack of knowledge of the extent to which the objectives of open government data initiatives are achieved. This article investigates the relationship between the objectives of open government data initiatives and the benefits delivered. A total of 168 survey responses concerning 156…
The US open data initiative
The last decade as witnessed the development of Open Government Data programs with the promise of improved transparency, accountability and innovation. Capitalizing on those benefits translates into the development of better public policy and the promotion of economic development. Research in the domain has emphasized on technical issues, and we still lack a clear understanding of the main conditions to promote successful Open Government Data pro…
Implications of the use of artificial intelligence in public governance
Researchers’ Willingness and Ability to Openly Share Their Research Data
While previous studies show that the drivers and inhibitors for openly sharing research data are diverse and complex, there is a lack of studies empirically examining the influence of the COVID-19 pandemic on researchers’ open data sharing behavior. Using a questionnaire ( n = 135), this study investigates the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their research data. Fifty-one resp…
Towards sustainable public and open data ecosystems
Integral system safety for machine learning in the public sector
This paper introduces systems theory and system safety concepts to ongoing academic debates about the safety of Machine Learning (ML) systems in the public sector. In particular, we analyze the risk factors of ML systems and their respective institutional context, which impact the ability to control such systems. We use interview data to abductively show what risk factors of such systems are present in public professionals' perceptions and what f…
Open Data and Equity
Open data fall short of their goal to empower all social groups equally. Although the literature examines this issue through the concept of inclusion, substantial gaps remain in defining and understanding the implications of open data for equity in public administration, with research on this topic scattered across disciplines. This fragmentation hinders the possibility of evaluating public policies. To address this gap, we ask: What is the state…
Data sovereignty does matter! Effects on trust, perceived risk, and willingness to share (business) data
[Abstract] The data economy relies on interorganizational data sharing, which has become a key driver of value creation in many industries. In emerging settings such as data marketplaces and ecosystems, businesses can control their shared data, triggering political and academic debates over data sovereignty. Yet, we lack empirical evidence on the extent to which data sovereignty matters for data providers. This study theorizes the impact of data …
E-Government and Public Services (16 works) · Open data (14 works) · Computer Science (13 works) · Business (12 works) · Political science (12 works) · World Wide Web (10 works) · Open government (9 works) · Knowledge management (8 works) · Privacy, Security, and Data Protection (7 works) · Public relations (7 works)