Showing posts with label ethics principles. Show all posts
Showing posts with label ethics principles. Show all posts

Tuesday, February 23, 2021

VA issues new data ethics principles; FedScoop, February 22, 2021

, FedScoop; VA issues new data ethics principles


"The Department of Veterans Affairs issued new ethics principles for accessing and handling veterans’ data, it announced Monday.

The nine principles are designed to ensure the safe and responsible use of data, especially personally identifiable information like medical data. With the increased use of data, particularly during COVID-19 response, comes thorny issues of how that data is used, protected and accessed, which the new principles aim to address.

In full, the principles developed by VA’s Data Ethics Group are:

  • The primary goal for use of Veteran data is for the good of Veterans.
  • Veteran data should be used in a manner that ensures equity to Veterans.
  • The sharing of Veteran data should be based on the Veteran’s meaningful choice.
  • Access to and exchange of Veteran data should be transparent and consistent.
  • De-identified Veteran data should not be reidentified without authorization.
  • There is an obligation of reciprocity for gains made using Veteran data.
  • All parties are obligated to ensure data security, quality and integrity of Veteran data.
  • Veterans should be able to access to their own information.
  • Veterans have the right to request amendments to their own information.

“VA’s principle-based ethics framework takes a proactive approach to data management and privacy by setting standards for our partners to follow,” acting VA Undersecretary for Health  Richard Stone said in a statement. “VA is applying this framework to all data interoperability initiatives, including those tied to our COVID-19 response and modernization efforts.”"

Thursday, January 5, 2017

5 ethics principles big data analysts must follow; TechRepublic, 1/2/17

Michael Kassner, TechRepublic; 5 ethics principles big data analysts must follow

"Big data is not only big—it is also powerful and error prone, notes Susan Etlinger, an industry analyst with Altimeter Group, in her 2014 TED talk. "At this point in our history... we can process exabytes of data at lightning speed, which also means we have the potential to make bad decisions far more quickly, efficiently, and with far greater impact than we did in the past."


Besides the potential for bad decisions, Etlinger believes that humans place too much faith in technology, including, for example, our blind acceptance of charts and graphs developed from big data analysis."