TY - JOUR
T1 - Developing an Online Data Ethics Module Informed by an Ecology of Data Perspective
AU - Tang, Xiaofeng
AU - Mendieta, Eduardo
AU - Litzinger, Thomas A.
N1 - Funding Information:
This work was supported by funding from the Rock Ethics Institute and the Leonhard Center for the Enhancement of Engineering Education at The Pennsylvania State University.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2022/4
Y1 - 2022/4
N2 - A self-perceived lack of training in ethical theories and related pedagogy has kept many engineering faculty members from teaching data ethics, an important aspect of engineering research that has become more salient in recent years. This paper describes the development of a module, which includes concepts, cases, policies, and best practices, to support the teaching of ethical data practice. Based on a user-oriented design approach and a moral literacy framework, the module was designed to be used in different courses and co-curricular activities for students of varying levels of competence to improve their ability to identify and analyze ethical problems associated with the handling of research data. This work seeks to encourage ethical reflection on researchers’ data practice through the idea of an “ecology of data,” which highlights the co-production of data by multiple, interconnected, and heterogeneous actors. This paper also presents online and in-class evidence about the impact and limitations of the module, which is now available for interested researchers and instructors to browse and use.
AB - A self-perceived lack of training in ethical theories and related pedagogy has kept many engineering faculty members from teaching data ethics, an important aspect of engineering research that has become more salient in recent years. This paper describes the development of a module, which includes concepts, cases, policies, and best practices, to support the teaching of ethical data practice. Based on a user-oriented design approach and a moral literacy framework, the module was designed to be used in different courses and co-curricular activities for students of varying levels of competence to improve their ability to identify and analyze ethical problems associated with the handling of research data. This work seeks to encourage ethical reflection on researchers’ data practice through the idea of an “ecology of data,” which highlights the co-production of data by multiple, interconnected, and heterogeneous actors. This paper also presents online and in-class evidence about the impact and limitations of the module, which is now available for interested researchers and instructors to browse and use.
UR - http://www.scopus.com/inward/record.url?scp=85128014539&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128014539&partnerID=8YFLogxK
U2 - 10.1007/s11948-022-00374-5
DO - 10.1007/s11948-022-00374-5
M3 - Article
C2 - 35412097
AN - SCOPUS:85128014539
SN - 1353-3452
VL - 28
JO - Science and Engineering Ethics
JF - Science and Engineering Ethics
IS - 2
M1 - 21
ER -