Update data-ethics.qmd

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Author: angiegarciaa

sections/data-ethics.qmd

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 **Transparency in data ethics is a vital part of open science.** Regardless of discipline, various ethical concerns are always present, including professional ethics such as plagiarism, false authorship, or falsification of data, to ethics regarding the handling of animals, to concerns relevant to human subjects research. As the primary repository for the Arctic program of the National Science Foundation, the Arctic Data Center accepts Arctic data from all disciplines. Recently, a new submission feature was released which asks researchers to describe the ethical considerations that are apparent in their research. This question is asked to all researchers, regardless of disciplines.
 
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 Sharing ethical practices openly, similar in the way that data is shared, enables deeper discussion about data management practices, data reuse, sensitivity, sovereignty and other considerations. Further, such transparency promotes awareness and adoption of ethical practices. 
 
 Inspired by CARE Principles for Indigenous Data Governance (Collective Benefit, Authority to Control, Responsibility, Ethics) and FAIR Principles (Findable, Accessible, Interoperable, Reproducible), we include a space in the data submission process for researchers to describe their ethical research practices. These statements are published with each dataset, and the purpose of these statements is to promote greater transparency in data collection and to guide other researchers. For more information about the ethical research practices statement, [check out this blog](https://arcticdata.io/all/blog/2022/04/applying-care-documenting-ethical-data-procedures-and-sensitive-data-at-the-arctic-data-center/).