1,720,991 research outputs found
Inclusive Research for Diverse Perspectives, Equity of Data and Ownership
No full textBackground Information: In the field of educational sciences, research aims to generate results that can be
applied to policy and practice (Creswell, 2012). Active involvement of citizens throughout the research data
life cycle can enhance the generalizability of research outcomes (Ramcharan et al., 2004). This approach
highlights the significance of connecting research with society, demonstrating a commitment to inclusivity by
tackling pressing societal issues such as diversity, digitalization, inequality, and other related concerns. This
contribution explores and emphasizes the crucial importance of research approaches that prioritize active
participation and inclusivity. These approaches strive to connect educational research with educational
practice. The objective of this study is to focus on "engaged scholarship," which highlights the importance of
active collaboration among students, teachers, researchers, and the general public. This text highlights the
importance of critical pedagogy and action research, as evidenced by the works of Cahnmann-Taylor &
Siegesmund (2017) and Van der Vaart et al. (2018).
This study showcases its methodology through a case study in higher education, with a particular focus on
promoting engagement and inclusivity in research using photovoice. The case study highlights the
methodological aspects of participatory research and the ethical complexities of conducting inclusive
research. It explores topics such as data ownership, stigmatization, and the need to consider how individuals
from different ethnic and socio-economic backgrounds may have varying perspectives on education. The
paper also covers the duties and tasks associated with collaborative research. Considering the processing of
personal data in this kind of research, it is crucial to take necessary measures to protect the privacy of
participants throughout the entire research project. This can be achieved through the implementation of
precautions like "privacy by design" or "data equity" (Gonzalez et al., 2022). We prioritize the promotion of
inclusiveness and actively seek to involve a diverse range of perspectives.
Research Results: A thorough examination through the "Photovoice" case study (Wang & Burris, 1997)
underscores the efficacy of utilizing engaging and inclusive methodologies. By involving students as active
participants in our research, we can enhance their perspectives and cultivate a sense of ownership and
empowerment. We also prioritize and embrace diversity. The findings highlight the connection between
ethical considerations, empowerment, collective ownership, and collaborative creation. This study highlights
the significance of employing participatory and inclusive research methods to foster meaningful connections
and interactions in educational research.
Ultimately, this study contributes to our comprehension of the significant link between education and inclusive
research, along with the methodologies employed in such research. The findings underscore the significance
of adopting participatory and inclusive research methods for gathering data and translating it into educational
practice. This approach promotes a powerful collaboration between education and research, resulting in
long-lasting enhancements in the educational field.
References:
Cahnmann-Taylor, M., & Siegesmund, R. (2017). Arts-based research in education. Routledge.
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and
qualitative research. Pearson Education, Inc.
Gonzalez, N., Alberty, E., Brockman, S., Nguyen, T., Johnson, M., Bond, S., O’Connell, K., Corriveau, A.,
Shoji, M., & Streeter, M. (2022). Education-to-Workforce Indicator Framework: Using Data to Promote Equity
and Economic Security for All. Mathematica. https://eric.ed.gov/?id=ED628916
Ramcharan, P., Grant, G., & Flynn, M. (2004). Emancipatory and participatory research: How far have we
come. The international handbook of applied research in intellectual disabilities, 83-111.
Van der Vaart, G., van Hoven, B., & Huigen, P. P. (2018). Creative and arts-based research methods in
academic research. Lessons from a participatory research project in the Netherlands. Forum Qualitative
Sozialforschung/Forum: Qualitative Social Research, 19(2), 30
Inclusive Research for Diverse Perspectives, Equity of Data and Ownership
No full textBackground Information: In the field of educational sciences, research aims to generate results that can be
applied to policy and practice (Creswell, 2012). Active involvement of citizens throughout the research data
life cycle can enhance the generalizability of research outcomes (Ramcharan et al., 2004). This approach
highlights the significance of connecting research with society, demonstrating a commitment to inclusivity by
tackling pressing societal issues such as diversity, digitalization, inequality, and other related concerns. This
contribution explores and emphasizes the crucial importance of research approaches that prioritize active
participation and inclusivity. These approaches strive to connect educational research with educational
practice. The objective of this study is to focus on "engaged scholarship," which highlights the importance of
active collaboration among students, teachers, researchers, and the general public. This text highlights the
importance of critical pedagogy and action research, as evidenced by the works of Cahnmann-Taylor &
Siegesmund (2017) and Van der Vaart et al. (2018).
This study showcases its methodology through a case study in higher education, with a particular focus on
promoting engagement and inclusivity in research using photovoice. The case study highlights the
methodological aspects of participatory research and the ethical complexities of conducting inclusive
research. It explores topics such as data ownership, stigmatization, and the need to consider how individuals
from different ethnic and socio-economic backgrounds may have varying perspectives on education. The
paper also covers the duties and tasks associated with collaborative research. Considering the processing of
personal data in this kind of research, it is crucial to take necessary measures to protect the privacy of
participants throughout the entire research project. This can be achieved through the implementation of
precautions like "privacy by design" or "data equity" (Gonzalez et al., 2022). We prioritize the promotion of
inclusiveness and actively seek to involve a diverse range of perspectives.
Research Results: A thorough examination through the "Photovoice" case study (Wang & Burris, 1997)
underscores the efficacy of utilizing engaging and inclusive methodologies. By involving students as active
participants in our research, we can enhance their perspectives and cultivate a sense of ownership and
empowerment. We also prioritize and embrace diversity. The findings highlight the connection between
ethical considerations, empowerment, collective ownership, and collaborative creation. This study highlights
the significance of employing participatory and inclusive research methods to foster meaningful connections
and interactions in educational research.
Ultimately, this study contributes to our comprehension of the significant link between education and inclusive
research, along with the methodologies employed in such research. The findings underscore the significance
of adopting participatory and inclusive research methods for gathering data and translating it into educational
practice. This approach promotes a powerful collaboration between education and research, resulting in
long-lasting enhancements in the educational field.
References:
Cahnmann-Taylor, M., & Siegesmund, R. (2017). Arts-based research in education. Routledge.
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and
qualitative research. Pearson Education, Inc.
Gonzalez, N., Alberty, E., Brockman, S., Nguyen, T., Johnson, M., Bond, S., O’Connell, K., Corriveau, A.,
Shoji, M., & Streeter, M. (2022). Education-to-Workforce Indicator Framework: Using Data to Promote Equity
and Economic Security for All. Mathematica. https://eric.ed.gov/?id=ED628916
Ramcharan, P., Grant, G., & Flynn, M. (2004). Emancipatory and participatory research: How far have we
come. The international handbook of applied research in intellectual disabilities, 83-111.
Van der Vaart, G., van Hoven, B., & Huigen, P. P. (2018). Creative and arts-based research methods in
academic research. Lessons from a participatory research project in the Netherlands. Forum Qualitative
Sozialforschung/Forum: Qualitative Social Research, 19(2), 30
Generative Artificial Intelligence in Research and Education at Hasselt University
No full textLightning talk presented at Research-on-Research (RoR) Registry and Hub Online Festival, on May 16th 2024: AI and research: a promising relationship
Impact of Research Data Management Initiatives on Doctoral Research
No full text"Data in my doctoral school in 3 minutes" presented at 2024 EUA-CDE Annual Meeting The role of data in shaping doctoral education Hosted by Polytechnic University of Catalonia, Spain; 26-28 June 202
Directions for Enhancing the Use of Personal Data Minimization Technology in Public Organizations
No full textA core principle of privacy protection is to minimize the amount of personal data in data sets to the level needed for the intended usage. The rapid growth of data and data-driven applications demands for using efficient software tools to minimize personal data to the needed level. However, applying Personal Data Minimization (PDM) tools into practice and embedding PDM technology within organizations are challenging tasks. These challenges stem from PDM complexity, context-dependency, multidisciplinary nature, as well as liability and accountability burdens. This paper aims at enhancing the use of PDM technology within public organizations. To realize this enhancement, we identify three directions-namely, improving usability (efficiency and ease of use), improving trust in PDM tools, and identifying the other influential PDM technology adoption factors. These directions are based amongst others on a literature study and expert interviews. We conducted a questionnaire-based survey among academia and research institutions to investigate the need for PDM technology and the relevancy of the directions empirically. Based on the insights gained, the paper suggests several solution directions and/or avenues for future research. Specifically, we highlight the need for developing customized PDM tools and usage instructions for these tools in different data-sharing settings to facilitate the usability of PDM technology. For establishing trust in PDM technology, we highlight the need for employing various mechanisms such as certification, standardization, and open-source software tools. Thirdly, we call * The corresponding author. for investigating all factors that are influential in PDM technology adoption to set the usability and trust factors in perspective. CCS CONCEPTS • Security and privacy → Human and societal aspects of security and privacy; Privacy protections; Human and societal aspects of security and privacy; Usability in security and privacy
FAIRVault, an interuniversity project on creating a restricted access data archive
No full textThe FAIRVault project is an interuniversity collaboration between four Flemish universities (Ghent University, Hassel University, University of Antwerp and Vrije Universiteit Brussel) to develop a generic solution for archiving, in a FAIR-aligned way, research data for which no suitable repository exists, in particular sensitive data.
The objective of the FAIRVault is to provide a secure and reliable platform for researchers from the participating institutions for archiving and making available even sensitive and confidential research data in accordance with the FAIR principles: (Findable, Accessible, Interoperable and Reusable). Based on the sensitivity of the data, (that may depend on privacy considerations, legal obligations etc.), suitable measures are taken to ensure information security. The goal is to implement a trustworthy and FAIR-enabling long-term preservation solution endorsed by research communities at partner institutions, implementing best practices certified by the CoreTrustSeal. By doing so, valuable research data will not only be properly archived, but it also unlocks the potential for data sharing and effectively leading to a more efficient use of resources. It aims to fill the void for domains where no existing solution satisfies all the necessities in terms of e.g. security and the FAIR principles.
The end product of this project, i.e. the actual FAIRVault, will be a platform on which a researcher can upload the research data alongside the appropriate metadata. It can be seen as (1) a packaging machine, where the archives itself are saved on local storages per university, and (2) a portal to the (meta)data, where other researchers can search datasets and download or request access – depending on the access conditions set by the creator. The metadata of a dataset is always visible to the public and remains available, even after the disposal of the dataset.
The platform aims to be an addition to the existing landscape of local storage systems and metadata conventions (e.g DataCite and FRIS). Therefore, the interoperability of this system and the integration with other systems is very important. The goal of the project is to end with an operational service that can possibly be used by institutions outside the starting consortium.
Throughout the development of the FAIRVault we want to keep the expectations of divers stakeholders and entities in mind: (1) researchers, who bear the responsibility of ensuring the findability and accessibility of data over the medium to long term, even beyond the project funding periods, (2) institutions, both research and government, that aim to manage data assets in compliance with regulations, policies and contractual obligation, fostering openness and minimizing costs, (3) data re-users, who seek transparent access processes, (4) the Flemish Government, that envisions stronger connections to the European Open Science Cloud, (5) FOSB/FRDN members, who seek cost effective solutions for Open Science KPI targets, (6) research funders, who prioritize ethical and legal data management aligned with the FAIR principles, (7) the European Open Science Cloud, that aims to streamline research data infrastructure through interoperability principles and standards, and (8) other research institutions, that wish to join the initiative in the future.
To streamline this project, a core team was set up with representatives of each university and additional support of consultancy companies (Möbius and EY). Within this core team, we ensured the presence of different expertises, such as archiving, ICT, data stewardship, etc. to move the project in the correct direction with the proper knowledge. Additionally, a steering committee was created in which decisions are taken and/or confirmed and which also consists of representatives of each university involved. This committee bridges the gap between the day-to-day operations and the stakeholders’ interests
FAIRVault, an interuniversity project on creating a restricted access data archive
No full textThe FAIRVault project is an interuniversity collaboration between four Flemish universities (Ghent University, Hassel University, University of Antwerp and Vrije Universiteit Brussel) to develop a generic solution for archiving, in a FAIR-aligned way, research data for which no suitable repository exists, in particular sensitive data.
The objective of the FAIRVault is to provide a secure and reliable platform for researchers from the participating institutions for archiving and making available even sensitive and confidential research data in accordance with the FAIR principles: (Findable, Accessible, Interoperable and Reusable). Based on the sensitivity of the data, (that may depend on privacy considerations, legal obligations etc.), suitable measures are taken to ensure information security. The goal is to implement a trustworthy and FAIR-enabling long-term preservation solution endorsed by research communities at partner institutions, implementing best practices certified by the CoreTrustSeal. By doing so, valuable research data will not only be properly archived, but it also unlocks the potential for data sharing and effectively leading to a more efficient use of resources. It aims to fill the void for domains where no existing solution satisfies all the necessities in terms of e.g. security and the FAIR principles.
The end product of this project, i.e. the actual FAIRVault, will be a platform on which a researcher can upload the research data alongside the appropriate metadata. It can be seen as (1) a packaging machine, where the archives itself are saved on local storages per university, and (2) a portal to the (meta)data, where other researchers can search datasets and download or request access – depending on the access conditions set by the creator. The metadata of a dataset is always visible to the public and remains available, even after the disposal of the dataset.
The platform aims to be an addition to the existing landscape of local storage systems and metadata conventions (e.g DataCite and FRIS). Therefore, the interoperability of this system and the integration with other systems is very important. The goal of the project is to end with an operational service that can possibly be used by institutions outside the starting consortium.
Throughout the development of the FAIRVault we want to keep the expectations of divers stakeholders and entities in mind: (1) researchers, who bear the responsibility of ensuring the findability and accessibility of data over the medium to long term, even beyond the project funding periods, (2) institutions, both research and government, that aim to manage data assets in compliance with regulations, policies and contractual obligation, fostering openness and minimizing costs, (3) data re-users, who seek transparent access processes, (4) the Flemish Government, that envisions stronger connections to the European Open Science Cloud, (5) FOSB/FRDN members, who seek cost effective solutions for Open Science KPI targets, (6) research funders, who prioritize ethical and legal data management aligned with the FAIR principles, (7) the European Open Science Cloud, that aims to streamline research data infrastructure through interoperability principles and standards, and (8) other research institutions, that wish to join the initiative in the future.
To streamline this project, a core team was set up with representatives of each university and additional support of consultancy companies (Möbius and EY). Within this core team, we ensured the presence of different expertises, such as archiving, ICT, data stewardship, etc. to move the project in the correct direction with the proper knowledge. Additionally, a steering committee was created in which decisions are taken and/or confirmed and which also consists of representatives of each university involved. This committee bridges the gap between the day-to-day operations and the stakeholders’ interests
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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