Authorship
Definition: Credit and accountability assigned to people who made substantial scholarly contributions.
Why it matters here: In Ethical Conduct and Data Stewardship, Authorship is needed to reason about authorship, acknowledgments, provenance, consent, and correction rather than merely label the phenomenon.
Relationship: It is interpreted alongside Acknowledgment and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: Local institutional policy must be checked before use.
\(credit=contribution+accountability+transparent attribution\)
Acknowledgment
Definition: Recognition of support or contribution that does not meet the responsibilities of authorship.
Why it matters here: In Ethical Conduct and Data Stewardship, Acknowledgment is needed to reason about authorship, acknowledgments, provenance, consent, and correction rather than merely label the phenomenon.
Relationship: It is interpreted alongside Data stewardship and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: Local institutional policy must be checked before use.
Data stewardship
Definition: Responsible management of data access, documentation, preservation, sharing, and correction.
Why it matters here: In Ethical Conduct and Data Stewardship, Data stewardship is needed to reason about authorship, acknowledgments, provenance, consent, and correction rather than merely label the phenomenon.
Relationship: It is interpreted alongside Informed consent and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: Local institutional policy must be checked before use.
Informed consent
Definition: Voluntary agreement to data use based on understandable disclosure of purpose, risks, and choices.
Why it matters here: In Ethical Conduct and Data Stewardship, Informed consent is needed to reason about authorship, acknowledgments, provenance, consent, and correction rather than merely label the phenomenon.
Relationship: It is interpreted alongside Dual use and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: Local institutional policy must be checked before use.
Dual use
Definition: The possibility that a method or dataset can support both beneficial and harmful applications.
Why it matters here: In Ethical Conduct and Data Stewardship, Dual use is needed to reason about authorship, acknowledgments, provenance, consent, and correction rather than merely label the phenomenon.
Relationship: It is interpreted alongside Authorship and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: Local institutional policy must be checked before use.