399
12. Who owns the data on your food, energy, and water use?
13. How can you control who knows your food, energy, and water use and sources?
14. If you tell someone else your food, energy, and water use, are they allowed to
tell a third party without asking you?
15. Do you have a right to know how your data are being used?
16. Should we use data-driven foresight to prevent people from making harmful
choices, or should we allow people to exercise their own free will for better or
worse? And, who if anyone should possess that foresight?
17. Name the most important and widely used metadata standard for a community
of practice with which you are familiar.
18. Name the most important and widely used data standard for a community of
practice with which you are familiar.
19. Is Mark Zuckerberg right—is privacy dead? Should we let it die? Why, or why
not? Does anything need to change?
20. Do you disagree with any of Privacy International’s data protection principles?
Why or why not, and in what specific instance would you agree or disagree?
21. If your town or country went to war tomorrow with a dangerous enemy, what
parts of your food, energy, and water data would you not want that enemy to
have access to?
22. What is the difference between data that is generated by a model, as opposed to
data that is generated by empirical observations?
23. Identify an end use of FEW data. For instance: developing your personal water
footprint including both direct and indirect uses of water. Determine what
would be adequate data quality for that end use, and attend to each aspect of
data quality described in this chapter. Would any of the data quality requirements change if you had to defend that number in a court of law, or during a tax
audit?
24. What is an ontology? Give an example of a FEW data space.
References
APQC. (2017). American productivity and quality center process classification framework. Retrieved
April 28, 2017, from https://www.apqc.org/industry-specific-process-classification-frameworks.
Baggio, J. A., et al. (2016). Multiplex social ecological network analysis reveals how social
changes affect community robustness more than resource depletion. Proceedings of the
National Academy of Sciences of the United States of America, 113(48), 13708–13713.
BTS. (2012). Commodity flow survey. U.S. Department of Transportation Bureau of Transportation
Statistics. Retrieved April 28, 2017, from https://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/
files/publications/commodity_flow_survey/index.html.
BTS. (n.d.). SCTG Codes. Retrieved December 4, 2018, from https://www.bts.gov/archive/
publications/commodity_flow_survey/classification.
Dublin Core Metadata Initiative. (n.d.). Retrieved December 4, 2018, from http://dublincore.org.
EIA. (2017). Annual energy outlook 2017. Washington, DC: U.S. Energy Information
Administration.
FEWSION. (n.d.). Retrieved December 4, 2018, from https://fewsion.us.
FEWSION Codesheet 1.0. (2019). Retrieved December 4, 2018, from https://fewsion.us/data.
14 Data
12. Who owns the data on your food, energy, and water use?
13. How can you control who knows your food, energy, and water use and sources?
14. If you tell someone else your food, energy, and water use, are they allowed to
tell a third party without asking you?
15. Do you have a right to know how your data are being used?
16. Should we use data-driven foresight to prevent people from making harmful
choices, or should we allow people to exercise their own free will for better or
worse? And, who if anyone should possess that foresight?
17. Name the most important and widely used metadata standard for a community
of practice with which you are familiar.
18. Name the most important and widely used data standard for a community of
practice with which you are familiar.
19. Is Mark Zuckerberg right—is privacy dead? Should we let it die? Why, or why
not? Does anything need to change?
20. Do you disagree with any of Privacy International’s data protection principles?
Why or why not, and in what specific instance would you agree or disagree?
21. If your town or country went to war tomorrow with a dangerous enemy, what
parts of your food, energy, and water data would you not want that enemy to
have access to?
22. What is the difference between data that is generated by a model, as opposed to
data that is generated by empirical observations?
23. Identify an end use of FEW data. For instance: developing your personal water
footprint including both direct and indirect uses of water. Determine what
would be adequate data quality for that end use, and attend to each aspect of
data quality described in this chapter. Would any of the data quality requirements change if you had to defend that number in a court of law, or during a tax
audit?
24. What is an ontology? Give an example of a FEW data space.
References
APQC. (2017). American productivity and quality center process classification framework. Retrieved
April 28, 2017, from https://www.apqc.org/industry-specific-process-classification-frameworks.
Baggio, J. A., et al. (2016). Multiplex social ecological network analysis reveals how social
changes affect community robustness more than resource depletion. Proceedings of the
National Academy of Sciences of the United States of America, 113(48), 13708–13713.
BTS. (2012). Commodity flow survey. U.S. Department of Transportation Bureau of Transportation
Statistics. Retrieved April 28, 2017, from https://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/
files/publications/commodity_flow_survey/index.html.
BTS. (n.d.). SCTG Codes. Retrieved December 4, 2018, from https://www.bts.gov/archive/
publications/commodity_flow_survey/classification.
Dublin Core Metadata Initiative. (n.d.). Retrieved December 4, 2018, from http://dublincore.org.
EIA. (2017). Annual energy outlook 2017. Washington, DC: U.S. Energy Information
Administration.
FEWSION. (n.d.). Retrieved December 4, 2018, from https://fewsion.us.
FEWSION Codesheet 1.0. (2019). Retrieved December 4, 2018, from https://fewsion.us/data.
14 Data