Tag open government data

CFP for Special Issue in IEEE Transactions on Technology & Society: Trustworthy Data Ecosystems for Digital Societies

Anastasija Nikiforova 1 Comment

IEEE Transactions on Technology & Society launches the new Special Issue on the “Trustworthy Data Ecosystems for Digital Societies“, edited by Asif Gill, Anastasija Nikiforova, Ina M. Sebastian, Martin Lnenicka, Anushri Gupta. On behalf of the editors of this SI, I sincerely invite you to consider submitting your work to it.

Key topics surround intersection of data ecosystem and AI topics, i.e., AI in and for trustworthy data ecosystems, and include, but are not limited to:

  • Impact of trustworthy data ecosystem on digital societies at the local, national and global levels
  • Conceptualization of trustworthy data ecosystems domains and characteristics for digital societies
  • Data trust regulations, polices, strategies and standards
  • Trustworthy data ecosystem infrastructure as a social construct
  • Trustworthy data ecosystem architecture, interfaces, methodologies, orchestration, patterns, solutions, and technology platforms
  • System and data quality, governance, security, privacy, protection, and safety
  • Data linking, interoperability, sharing and observability

Read more in the below CFP or here.

IEEE TTS cfp Gill et al 2025-2Download

European Open Science Cloud “FAIR Metrics and Digital Objects Task Force” or the 2nd chapter of my participation with EOSC TFs

Anastasija Nikiforova 1 Comment

From 2021 to 2024, I had the privilege of being part of the “FAIR Metrics and Data Quality” Task Force, where we made strides in advancing the FAIR principles and improving data quality across the research community. Following the recent reorganization of these task forces, I am now excited to continue this work with the newly formed FAIR Metrics and Digital Objects Task Force, which, as we decided just yesterday, will be chaired by “the father” will be chaired by “the father” FAIR principles Mark Wilkinson and Elli Papadopoulou!

Our mission is to develop and implement metrics for the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) that enhance the utility and impact of digital objects in research. This initiative is crucial in advancing open science and ensuring that scientific data is more accessible, reusable, and beneficial for the global research community.

As a member of this task force, we will be collaborating with a diverse group of experts to:

  • Identify the limitations of the current FAIR assessment, which is mainly focused on the FAIRness of the repository, for evaluating the discoverability and reusability of data, which is insufficient for assessing the capability of data to be federated.
  • Watch and promote initiatives (such as GREI, Signposting, RO-Crates, etc) to facilitate the definition of common metadata schemas and their interoperability.
  • Identify issues on data privacy, considering data usage, data access and data licensing and specification for machine-actionable data usage policies (e.g. ODRL)
  • Analyse the impact of provenance, especially in the context of federated environments.
  • Identify synergies with the Data Spaces initiative.
  • Define FAIR metrics according to the objectives of the task force.
  • Engage with research clusters, empowering them to implement data quality practices tailored to their unique contexts by actionable recommendations, like DQ indicators to ensure data quality, addressing areas, for example, AI training and input data.

I am eager to contribute to this new chapter and look forward to the — hopefully — impactful changes we will bring to the scientific community.

Stay tuned for updates on our progress and initiatives, whereas the progress we made in the past years is documented here !

The 25th Annual International Conference on Digital Government Research (DGO2024): a brief summary on presenter, track chair, panel organizer, and moderator roles

Anastasija Nikiforova 1 Comment

Last week, I had the pleasure of participating in the 25th Annual International Conference on Digital Government Research (DGO2024), organized by the Digital Government Society and hosted by National Taiwan University in the beautiful city of Taipei (Taiwan) under “Internet of Beings: Transforming Public Governance” theme. The conference offered an exceptional venue, warm hospitality from the local committee led by Helen Liu and her team, a rich social program, and an outstanding scientific program. The event featured well-selected keynotes and panels from prominent organizations such as Foxconn, the International Cooperation Center of TCA, Massachusetts Institute of Technology, Taipei Urban Intelligence Center, and the Ministry of Digital Affairs. Key topics included AI, Smart City initiatives, and Data Governance, which facilitated extensive networking and brainstorming sessions.

I was honored to contribute to this vibrant dialogue in multiple roles: presenter, track chair, panel organizer, and moderator. Together with my students and colleagues, we presented four papers, each reflecting our collaborative research efforts:

  1. Towards a Privacy and Security-Aware Framework for Ethical AI (Daria Korobenko, Anastasija NIkiforova, Rajesh Sharma). The proposed (conceptual at the moment) privacy and security-Aware Framework for ethical AI is centered around the Data, Technology, People, and Process dimensions, where each dimension is guided by a set of specific questions to encompass the overarching themes of privacy and security within AI systems, while the framework itself follows a risk-based approach (similar to the EU AI Act). As such, it is designed to assist diverse stakeholders, including organizations, academic institutions, and governmental bodies, in both the development and critical assessment of AI systems.
  2. Exploring Estonia’s Open Government Data Development as a Journey towards Excellence: Unveiling the Progress of Local Governments in Open Data Provision (Katrin Rajamae-Soosaar and Anastasija Nikiforova) that explores the evolution of Estonia’s 🇪🇪 OGD development at both national & local levels through analysis of indices, Estonian OGD portal, and a literature review. Findings reveal national progress due to portal improvements and legislative changes, while local governments lag in OGD provision, highlighting the need for future research on municipal OGD barriers and enablers.
  3. An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries (Fillip Molodtsov and Anastasija Nikiforova) develops a framework to evaluate OGD portal usability, considering user diversity, collaboration, and data exploration capabilities, and applies it to 33 national portals in the EU and GCC 🇪🇺🇸🇦🇶🇦🇧🇭🇦🇪, highlighting good practices and common shortcomings, emphasizing competitiveness of GCC portals
  4. Unlocking the Potential of Open Government Data: Exploring the Strategic, Technical, and Application Perspectives of High-Value Datasets Opening in Taiwan (Hsien-Lee Tseng and Anastasija Nikiforova). In short, data has an unprecedented value. However, availability of data in an open data format creates a little added value, where the value of these data [to the real needs of the end user], is key. This is where the concept of high-value dataset (HVD) comes into play, which has become popular in recent years (predominantly beforehand OD Directive by European Commission). Defining and opening HVD, in turn, is a complex process consisting of a set of interrelated steps, the implementation of which may vary from one country or region to another. Therefore, there has recently been a call to conduct research in a country or region setting considered to be of greatest national value. So far, only a few studies have been conducted, most of which consider only one step of the process, such as identifying HVD or measuring their impact. With this study, we explore the entire lifecycle of HVD opening in case of one of the world’s leading producers of ICT products – Taiwan. To do this, we conduct a qualitative study with exploratory interviews with representatives from government agencies in Taiwan responsible for HVD opening, namely Ministry of Digital Affairs, Ministry of the Interior, Ministry of Transportation and Communications, and the Ministry of Environment. As part of these interviews, we examine strategic aspects associated with HVD determination, technical aspects related to the dataset preparation stage (incl. data quality, granularity, update frequency, integration methods, or data evaluation), and application aspects related to the further assessment of the impact generated by HVD, identifying some good practices and weaknesses to be further examined and fixed.

I also chaired the track “Sustainable Public and Open Data Ecosystems,” which we launched this year with colleagues, on which I posted before. Although this is the very new track, we received a good number of contributions as it appeared to be very timely and we hope to see it to have a continuation, serving as a stage for the dialogue by Digital Government Society around the public and open data ecosystem in and for our digital future. At least this session has demonstrated the interest in such an environment – many thanks to all, who actively participated in this discussion. BTW, should you be interested in difference between public vs open data ecosystem, I encourage you to read our conceptualization and typology in our “Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystems” paper. We also are optimistic that the best contributions from this track will soon be available in a special section of the Information Polity Journal that we have recently launched.

In addition, together with Hsien-Lee Tseng, we organized the panel “Sociotechnical Transformation in the Decade of Healthy Ageing to Empower the Silver Economy: Bridging the Silver Divide through Social and Digital Inclusion,” which addressed crucial issues related to the integration of aging populations into the digital economy and society. Our discussions focused on case studies from Taiwan and Estonia, two regions with significant aging populations and leaders in ICT and digital government. We explored several innovative initiatives:

  1. The Aged Dwelling Plan by the Ministry of Interior of Taiwan, which proactively delivers resources to those most in need through the Senior Living Needs Index Framework. It integrates cross-agency data such as household registration, building information, long-term care, low-income households, and open geospatial data.
  2. The Digital Silver Hub constituting the ecosystem fosters innovative solutions for the silver population, involving the public sector, private sector, academia, and end-users. It utilizes a collective intelligence model to address the challenges faced by older adults.
  3. Health Promotion, Technology Inclusion by National Taitung University aimed at achieving technological inclusion, this project focuses on non-discriminatory health promotion technology policies and activities for people with chronic diseases.

As such, our discussions highlighted the opportunities and challenges in supporting the Decade of Healthy Ageing, an initiative by the United Nations. Key themes included Data Management, Security, and Privacy, Digital Literacy and Regional Adoption, Human-Computer Interaction (HCI) and User-Centric Design, Interoperability. Our panel concluded that there is no one-size-fits-all solution to the challenges faced by the aging population. Instead, it is crucial to recognize and leverage the capacities and strengths of each region to develop tailored solutions, whether they be social, technical, or sociotechnical. By doing so, we can create effective and sustainable strategies to support healthy aging and bridge the silver divide.

The conference also featured a working meeting on the new Digital Government Society Chapter, “Artificial Intelligence & Government.” I contributed to the discussions and look forward to continued involvement and impact in this ambitious initiative led by Fadi Salem.

In summary, DGO2024 was an incredibly insightful and productive week.

Guest Lecture for the Federal University of Technology – Paraná (UTFPR) on “Unlocking the symbiotic relationship of Artificial Intelligence, Data Intelligence, Collaborative Intelligence, and Embodied Intelligence for innovative urban planning and governance of Smart Cities”

Anastasija Nikiforova 1 Comment

This May, I had a pleasure to deliver one more guest lecture for master and doctoral students of the Federal University of Technology – Paraná (Universidade Tecnológica Federal do Paraná (UTFPR)) as part of Smart Cities course delivered by prof. Regina Negri Pagani. This time the topic of my lecture was “Unlocking the symbiotic relationship of Artificial Intelligence, Data Intelligence, Collaborative Intelligence, and Embodied Intelligence for innovative urban planning and governance of Smart Cities”.

In the pursuit of enhancing the efficiency and effectiveness of Artificial Intelligence, it is imperative to explore synergies with other form of intelligence, such Data Intelligence and Collaborative intelligence. These forms of intelligence (along with Embodied Intelligence) constitute a new transformative paradigm of intelligence proposed by Verhulst et al. (2021) that offers potential for increased added value when synergized. However, their synergy requires understanding and harnessing the symbiotic relationship between these intelligences. The reimagination of decision making and problem-solving processes, is essential to unlock this symbiotic potential fostering more meaningful, but at the very same time more sustainable AI utilization. In other words, AI itself brings a certain value that can be (and must be) increased through integration with other forms of Intelligence. This, in turn, has a list of preconditions / prerequisites that must be satisfied by the above – Artificial, Data, Collaborative, and Embodied Intelligence – components. These prerequisites are diverse in nature and span both the artifacts in question, such as AI, data (type, format, quality, value, availability, accessibility, incl. openness), stakeholders’ skills and literacies, but also management and organizational aspects. In other words, each form of Intelligence influences the others, making it crucial to explore their interconnections. This talk endeavoured to uncover this intricate web of relationships between the three forms of intelligence, taking a step towards a more meaningful and intelligent approach to decision making and problem solving.

As part of this talk we referred to the theory of multiple intelligences by Howard Gardner presented in his famous book “Frames of Mind: A Theory of Multiple Intelligences”. Then, we referred to the above mentioned intelligence paradigm proposed by Stefaan G. Verhulst, Peter Martey Addo, Dominik Baumann, Juliet Mcmurren, Andrew Young, Andrew J. Zahuranec in “Emerging Uses of Technology for Development: A New Intelligence Paradigm“. Then, we finally turned to the actual discussion on the symbiotic relationship of Artificial Intelligence, Data Intelligence, Embodied Intelligence, Collaborative Intelligence, and Generative AI uncovering this intricate web of relationships between these forms of intelligence, putting the above into several contexts with a focus on public & public and open data ecosystems. The later topics, in turn, covered some of my previous research (such as “Sustainable open data ecosystems in smart cities: A platform theory-based analysis of 19 European cities, ” “Identifying patterns and recommendations of and for sustainable open data initiatives: A benchmarking-driven analysis of open government data initiatives among European countries“, “Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities“ etc.). As such, we tried to indicate future avenues in the light of changing paradigms (or need for such) for intelligences, data ecosystems, mechanisms for citizen engagement & processes (incl., but not limited to data governance & data quality management) accompanying these ecosystems


This followed up by the fruitful discussion with the participants of the course that I enjoyed very much. I can only hope that this lecture was just a little bit as interesting as my dear Regina characterized it! There is nothing better than hear an immediate invitation for the next editions of this course – will be glad to continue this tradition!

Online International Training and Capacity Building Program-2024 (ITCBP-2024) for the School of Planning and Architecture, New Delhi and my talk on “Data Management for AI Cities”

Anastasija Nikiforova 1 Comment

Yesterday, I had the honor of serving as an Expert speaker for an Online International Training and Capacity Building Program-2024 (ITCBP-2024) on “Data Management for AI Cities”, organised by the School of Planning and Architecture, New Delhi (SPA FIRST) that invited me to deliver a talk on “Data Visualisation for Cities: City Based Applications”.

During this talk, we touched on several important aspects surrounding data management and visualization in and for cities, including:

  • Data management that was then deduced to data quality management of both internal and external data, departing from understanding these data to managing their quality throughout the DQM lifecycle (stressing that data cleaning is not the same as DQM), touching on several approaches to this with greater emphasis on the AI-augmented data quality management – existing tools, underlying methods, and weaknesses that should be considered when using (semi-)automatic data quality rule recognition, depending on the method they use for this purpose;
  • Data governance was then discussed, stressing how it differs from DQM, and what it consists of and why it is crucial, incl. within the context of this talk;
  • Data visualization & storytelling – role, key principles, common mistakes, best practices. As part of this, we covered strategies for selecting data visualization type with tips on how to simplify this process, incl. by referring to chart selectors, but also stressing why “thinking outside the menu” is critical, esp. within city-level data visualization (where your audience is often citizens or policymakers). We looked at the most common and/or successful uses of non-traditional types of visualizations, incl. tools to be used for these purposes, breaking them into those that require coding and those that are rather low- or no-code; noise reduction – simplicity – strategic accents’ use, as well as drill-down (aka roll-down) & roll-up use to convey the message you want to deliver while overcoming highlighting everything and thereby losing your audience. In addition, a UX perspective was discussed, including but not limited some aspects that are often overlooked when thinking about the design and aesthetic color palette, namely the color-blindness of the audience that might “consume” these visualizations and again, tips on how to use it easier – did you you known that there are 300 million color blind people? And that 98% of those with color blindness have red-green color blindness?

So what was the key message or a “takeaway” of this talk? In a very few words:

  • Understand your data, audience and story you want to tell! Understand:
    • your data,
    • the story it tells,
    • your target audience’s preferences and needs,
    • the story you want to tell
    • data suitability
    • data quality
  • Attention-grabbing visuals & storytelling is a key!
    • reduce noise to avoid audience confusion and distraction
    • use drill-down and roll-up operations to keep visualization simple
    • add the context to provide all necessary information for clear understanding
    • add highlights to focus their attention – add accents strategically
  • Consider design – the optimal visualisation type, chart design, environment design, potential color-blindness of your audience
  • Keep track of the current advances, but also challenges and risks, of data visualization in urban settings, incl. but not limited to (1) privacy concerns, (2) data silos, (3) technological limitations.

All in all, it was quite a rich conversation and I am very grateful to the organizers for the invitation to be part of this event and to the audience for the very positive feedback!