Learning Data Ethics for Open Data SharingMain MenuAbout This ProjectIntroduction to Data EthicsWhat Constitutes as Sensitive Data?Effects of Good/Bad Data EthicsIntroduction to Data SharingWhat Could You Share?Journal and Funder MandatesFAIR Data SharingRestricted Access in FAIR SharingWhat Goes Into a Data Repository Record?Introduction to Data CurationCuration Workflows and ChecklistsIRB Applications and Data Management PlansInformed ConsentData Use AgreementsRisk Assessment and De-identificationMachine Learning and Big Data ResearchLynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
Data ethics to data sharing path
12022-03-04T11:11:39-08:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e4018010plain2022-10-31T07:16:12-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eText for Introduction!
Contents of this path:
1media/RestrictedDataset.PNG2022-03-03T14:31:10-08:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eIntroduction to Data Ethics13plain2022-10-31T08:22:27-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-03-03T14:30:10-08:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eWhat Constitutes as Sensitive Data?7plain2022-10-31T08:23:46-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-03-03T14:53:55-08:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eEffects of Good/Bad Data Ethics6plain2022-10-31T08:21:14-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-03-03T14:25:20-08:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eIntroduction to Data Sharing13plain2022-10-31T08:28:59-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-04-03T08:31:07-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eWhat Could You Share?2plain2022-10-31T09:16:52-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-04-03T08:55:08-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eFAIR Data Sharing3plain2022-10-31T09:21:20-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-04-03T09:05:48-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eRestricted Access in FAIR Sharing5plain2022-10-31T09:40:21-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-03-03T14:33:13-08:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eWhat Goes Into a Data Repository Record?3plain2022-10-31T09:53:35-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-03-03T14:51:34-08:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eIntroduction to Data Curation10plain2022-10-31T10:10:21-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-04-03T08:32:41-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eCuration Workflows and Checklists5plain2022-10-31T10:55:12-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
12022-04-03T09:19:53-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8eIRB Applications and Data Management Plans2plain2022-10-31T10:59:13-07:00Lynnee Argabright5e34677fb40215fff81dbaad4ee2c305e4977a8e
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1media/RestrictedDataset.PNG2022-03-03T14:31:10-08:00Introduction to Data Ethics10plain2022-10-31T07:33:22-07:00Philosophically, there are 3 ethical principles for human subjects research. These principles are outlined in the Belmont Report, a federal work created in 1979 as a guide to protect human subjects in research and referenced often in IRBs. You won’t have to know these principles by heart, but understanding how these principles relate to people who underlie your data should help to guide any actions you take when sharing data. Beneficence—Conduct research in ways that maximize benefit and minimize risk. Such as designing experiments with as little risk as possible. Respect for persons—Treat people with consideration that they should make decisions in their best interests, and recognize some specific vulnerable groups do not have this power. Such as obtaining permission to share data about a person Justice—Committing to distribute the benefit and burden equally across a population. Such as whether or not you should pay people for participating.
Some ways you can apply these principles as they relate to sharing data include:
Respect what was agreed upon in your participants’ Informed consent forms
Share data and results back to the community of your population, and in a form they can use and understand
Share data to reduce the duplicating burden on communities that tend to get reached out to frequently for research studies
Consider how publishing or sharing may reinforce inequities, biases, and stereotypes about populations, so proactively learn about the context and populations of your topic and get input from those who’d bear risks.
Conscientously remove re-identification risk.
What we will not be getting into in this guide is data ethics as it relates to animals. But, be aware this is also a topic in relation to data ethics for data sharing! Sharing sensitive biodiversity observational data (such as geographic details about specific lions you’ve observed) could potentially impact poaching, disease spread, or habitat degradation! If you’ve heard of the IRB for protecting human subjects in research studies, the same office that handles IRBs in a university typically also has an Institutional Animal Care and Use application and research review board.