My current research activities are related to data management, focusing on data quality and data integration issues, open data and open government data (OGD) related subtopics, covering both technological and societal aspects of OGD and OGD portals. This includes both, OGD in the context of Society 5.0, SDG, smart city etc. studies on the one hand and diverse HCI-related topics on the second hand. The latter is also closely related to the digitization and sociotechnical advances, which, however, is not limited to the above scope. In the past years I was involved in several projects, the list of which is provided below. The above mentioned topics, however, are elaborated in more details in the relevant sections.
Open Government Data (OGD) and OGD portals (non-funded)
This individual study is currently based on enthusiasm (non-funded) as one of both scientific and societal valuable areas at (inter)national levels. It deals with topics such as user-centered OGD portal usability, timeliness of OGD in terms of pandemic, OGD link with Society 5.0 and Industry 4.0 concepts. The broad range of topics and coverage of (inter)national issues have already attracted several international colleagues, with whom cooperation was established to improve the world by means of OGD facilitating their value, potential to be reused and many more.
For her researches, public activity and other achievements in this area, the Latvian Open Technologies Association has recognized her as a person of the year (read more…)
DECIDE – Development of a dynamic informed consent system for biobank and citizen science data management, quality control and integration
The scientific objective of the project is to develop dynamic consenting and survey system prototype to integrate academic research conducted in biobank with citizen science initiatives maintaining data credibility via hierarchical metadata harmonization and assessing ethical, legal and social implications (ELSI).
DECIDE is funded by the European Regional Development Fund (ERDF), Measure 22.214.171.124 “Support for applied research”
HORIZON2020 INTEGROMED “Integration of knowledge and biobank resources in comprehensive translational approach for personalized prevention and treatment of metabolic disorders”
INTEGROMED is aiming to improve and optimize the use of resources provided by large biobanks and prospective cohorts in combination with national health care system, improve knowledge in establishment of clinical studies for development of precision medicine approaches. The strategy of INTEGROMED is to increase excellence and develop sustainable approach targeting virtually all aspects of translational medicine by integrating the experience of research excellence institutions and existing resources by creating a research and innovation network with three internationally leading organizations in the translational medicine area – University of Dundee, Lund University, and Weizmann Institute of Science.
INTEGROMED is funded by the European Union under the Horizon 2020 programme, grant agreement 857572.
Optimizing e-mobility solutions using artificial intelligence (AI)
Position: volunteer/ researcher
The research has received funding from the research project “Competence Centre of Information and Communication Technologies” of EU Structural funds, Research No. 1.15 “The use of business process models for full functional testing of information systems”.
The use of business process models for full functional testing of IS
The proposed data quality model-based testing methodology (DQMBT) supposes creation of a description of the data to be processed by IS and the data quality requirements used for the development of the tests, followed by performing an automated test on the generated tests verifying the correctness of data to be entered and stored in the database.
The research has received funding from the research project “Competence Centre of Information and Communication Technologies” of EU Structural funds, Research No. 1.7 “The use of business process models for full functional testing of information systems”.
Concurrence analysis in business process models
The aim is to propose a technology and methodology to detect and prevent the possibility of incorrect execution of concurrent business processes. Analyzing business process according to the proposed procedure allows to configure transaction processing optimally.
The research has received funding from the research project “Competence Centre of Information and Communication Technologies” of EU Structural funds, Research No. 1.6 “Concurrence analysis in business process models”.
Data Quality Management by using Executable Business Process Models
The study proposes a data object-driven approach to data quality evaluation. This user-oriented solution is based on 3 main components: data object, data quality specification and the process of data quality measuring. These components are defined by 3 graphical DSLs. The approach ensures data quality analysis depending on the use-case & allows analysing quality of “third-party” data. The proposed solution is applied to open data sets.
Position: volunteer/ scientific assistant
The research has received funding from the research project “Competence Centre of Information and Communication Technologies” of EU Structural funds. Research No. 1.8 “Data Quality Management by using Executable Business Process Models”.