The use of big data research methods has grown tremendously in both academia and industry. One of the most fundamental rules of responsible big data research is the steadfast recognition that most data represent or impact people. For some projects, sharing data is an expectation of the human participants involved and thus a key part of ethical research. Research involving human participants at federally funded institutions is governed by IRBs charged with preventing harm through well-established procedures and are familiar to many researchers. Although codes of conduct will vary depending on the topic and research community, a particularly important element is designing data and systems for auditability. Responsible internal auditing processes flow easily into audit systems and also keep track of factors that might contribute to problematic outcomes.
|Title of host publication||Machine Learning and the City|
|Subtitle of host publication||Applications in Architecture and Urban Design|
|Number of pages||12|
|State||Published - May 27 2022|
Bibliographical notePublisher Copyright:
© 2022 John Wiley & Sons, Inc. All rights reserved.
- Big data research methods
- Ethical research
- Human participants
- Research community
- Steadfast recognition
ASJC Scopus subject areas
- Engineering (all)
- Arts and Humanities (all)