Open Data Inclusion through Narrative Approaches
Wolff, Annika; Tylosky, Natasha; Hasan, Tanvir (2022-06-20)
Post-print / Final draft
Wolff, Annika
Tylosky, Natasha
Hasan, Tanvir
20.06.2022
125-129
IEEE
School of Engineering Science
Kaikki oikeudet pidätetään.
© 2022 Association for Computing Machinery
© 2022 Association for Computing Machinery
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022072151850
https://urn.fi/URN:NBN:fi-fe2022072151850
Tiivistelmä
Open data is published with the intention that it can be used by everyone. In reality, various barriers exclude some people from its use. This short paper will examine common reasons why people struggle to make use of open data and propose a conceptual framework to guide narrative-driven curation of open data sets to overcome these barriers. These principles are currently being used to guide the creation of new interfaces to open data that can be used by people with differing levels of data literacy, thereby increasing inclusion of open data sets.
Lähdeviite
A. Wolff, N. Tylosky and T. Hasan, "Open Data Inclusion through Narrative Approaches," 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS), 2022, pp. 125-129, doi: 10.1109/ICSE-SEIS55304.2022.9793895.
Alkuperäinen verkko-osoite
https://ieeexplore.ieee.org/document/9793895/Kokoelmat
- Tieteelliset julkaisut [1166]