| 1. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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Results of the Ontology Alignment Evaluation Initiative 2023
- 2023
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Ingår i: Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece, November 7, 2023.. - : CEUR Workshop Proceedings. ; , s. 97-139
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Konferensbidrag (refereegranskat)
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| 2. |
- Liu, Ying-Hsang, et al.
(författare)
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Conceptualizing Data Needs within Contexts of Data Discoverability and Reuse : A Study of Environmental and Social Scientists
- 2023
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Ingår i: IST23 Conference. - : Association for Information Science & Technology.
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Konferensbidrag (refereegranskat)abstract
- This study contributes to the conference theme of information science processes and practices by examining the research data discovery contexts of ecological and social scientists who reuse datasets for research. The aim of the research was to gain insight into the data discovery contexts of these scientists and to understand the data needs related to data discoverability and reuse. The study identified four dimensions of data needs, including research processes, making sense of data, data reuse, and data access. Additionally, a conceptualization of data needs within the context of data reuse was proposed, which has not been thoroughly examined in previous studies. The study employed a mixed-method approach within the post-positivist research paradigm to identify the different contexts in which data is discovered. A combination of survey and in-depth interview techniques were used to investigate the broader contexts of data discovery in people’s information-seeking processes. The critical incident technique was used to elicit the contexts of data discovery, and the interview protocol was structured based on the stages of a data lifecycle. Interviews were conducted with 24 participants from three organizations, including TERN, ADA, and CSIRO. Participants held diverse job roles and were at different career stages. The study identified four dimensions of data needs and examined their relationship with the roles of data managers and end-users. The findings contribute to the existing literature on data needs and emphasize the potential usefulness of research data and the need for paradata. The study also suggests that anticipating the contexts of data reuse involves considering what data users may find useful. Ensuring data quality is crucial for successful data reuse, which involves having access to organizational data expertise, providing data in various formats and platforms, and ensuring sufficient data coverage. Data needs are influenced by the specific research objectives, which in turn affects the criteria for selecting and reusing data. Clear data licensing conditions are crucial to facilitate data reuse.
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| 3. |
- Liu, Ying-Hsang, et al.
(författare)
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Investigation of Contexts of Data Discovery and Selection Criteria for Clinical Trials Data
- 2023
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Ingår i: IST23 Conference. - : Association for Information Science and Technology.
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Konferensbidrag (refereegranskat)abstract
- This study explores the data discovery contexts and selection criteria used by clinical trials researchers to reuse open clinical trials and related health data. The research examines the connections between how researchers initiate personal data journeys and follow managed processes of data selection criteria. A mixed-method approach within the post-positivist research paradigm was adopted. The methods of survey and in-depth interview were used to elicit the contexts of data discovery within the information-seeking processes of 17 purposively sampled participants. Our findings suggest that researchers use a diverse set of selection criteria to assess the relevance and usability of datasets depending on the search contexts. We identified shared data attributes, and the information considered most important in properly selecting or using a dataset. We have examined the relationships between different contexts of data discovery and their respective selection criteria. Our findings show that it is crucial to prioritize the information needs of users when selecting and using datasets. Data repositories need to specify their system design objectives in line with meeting user information needs. This could be achieved by enhancing the index and search interface with data variables, such as clinical metrics of outcome measures and methods, thereby making it easier for users to select and use datasets that align with their research needs.
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| 4. |
- Liu, Ying-Hsang, et al.
(författare)
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Supporting open research data practice through data curation and discovery : A global perspective
- 2020
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Ingår i: Proceedings of the Association for Information Science and Technology. - : Wiley. - 2373-9231.
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Konferensbidrag (refereegranskat)abstract
- This panel will address the issues associated with the practice and service of open research data curation and discovery from a global perspective. The sub-fields of information science such as information retrieval, information curation, information practices and human-centered data science have approached the open research data initiatives from multiple lenses. The issues of data creation, capturing, curation, sharing, discovery and reuse of cut across the sub-fields. We will identify and discuss the emerging themes in open data curation and discovery drawing on active research projects, repository practices and research data capturing and reuse in a selection of disciplines from health domain to archaeology and cultural heritage.
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