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Dark Data Project

From EverybodyWiki Bios & Wiki


The Dark Data Project is a Canadian non-governmental organization which works with organizations to surmount data barriers, particularly involving unstructured, obfuscated, inaccessible or otherwise problematic datasets.[1]

History

The Dark Data Project was founded in 2020 by Timothy Quinn.[1] In 2021 and in partnership with the Biological Survey of Canada, the Dark Data Project created Biota of Canada, a project to aggregate research on Canadian biodiversity.[2] In its 2022 General Assembly, the Royal Astronomical Society of Canada announced the launch of the Technosignature Research Portal, created by the Dark Data Project to help classify research on proposed serendipitous technosignatures.[3] The Dark Data Project was also a founding partner in Hatebase.[4]

Description

Dark data has various meanings depending on context. A common use of the term dark data is data which exists but is not actioned or actionable.[5] The Dark Data Project defines dark data as "any data which should exist and be easily accessible, but is not... [including] data which is nonexistent (either because no one has thought to collect it, or because efforts to collect it have been inhibited), data which exists but isn't widely accessible (such as proprietary, classified or private data), data which, if available, would be inculpatory or exculpatory, data which is in some fashion obfuscated (whether unstructured, corrupted, redacted or incomplete), data which is untranslated or untranslatable, and data which is just plain wrong (such as misinformation, disinformation or poorly collected)."

Case studies cited by the Dark Data Project include aggregation of biodiversity research, homelessness estimation, humanitarian aid logistics and hate speech moderation.

Anthroencryption

In 2022, the Dark Data Project introduced the term anthroencryption to refer to methodologies for storing, safeguarding and sharing identity data, particularly data on vulnerable populations which may have limited awareness or agency that their data has been captured.[6] Examples of vulnerable populations cited include refugees, whistleblowers, confidential informants, and witnesses of mass atrocities and war crimes.

References

  1. 1.0 1.1 "Dark Data Project". Dark Data Project. Retrieved November 8, 2022.
  2. "BSC Winter 2021 Newsletter". Biological Survey of Canada.
  3. "RASC GA 2022 Events". Royal Astronomical Society of Canada. Retrieved November 8, 2022.
  4. "Hatebase". Hatebase. Retrieved November 8, 2022.
  5. "Dark Data". Gartner.
  6. "Anthroencryption". Dark Data Project.

External links


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