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Data Matters Ethics, Data, and International Research Collaboration in a Changing World: Proceedings of a Workshop (2018) / Chapter Skim
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4 Reports from the Breakout Sessions
Pages 61-64

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From page 61...
... Agency for International Development, said her group's discussion started with the multidimensionality of the context for data collection, with that multidimensionality representing geographic differences in the population being sampled and even contextual differences within small populations, such as "indigenous people." There is also a context to data depending on when it is collected, with the example being the seasonality of agricultural data and the bias that would result from only collecting data at one time of the year. She also noted it is important to consider the demand characteristics; that is, what the subjects believe the data will be used for may inform whether they will provide a certain answer.
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From page 62...
... The group wondered if the charter of the Research Data Alliance or the World Wide Web Consortium should be expanded to address this issue in the context of an international collaboration. The group also debated whether Facebook, which has two billion users, would be considered a member state to such an organization, what the penalty would be for people or organizations that violate the rules set by the governing body for data capture and reuse, and what kind of governance is needed for extraterrestrial data.
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From page 63...
... This led to the suggestion of looking at the 17 sustainable development goals, picking one per year, and having the international community work in a collaborative manner, using all its tools, including data, to solve the issues for that goal. Doing so would require looking at each goal from a global, local, and discipline level and developing a plan for data collection, publication, dissemination, and communicating the results to the affected communities and the rest of the world's population.
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From page 64...
... Rechkemmer noted that a group at the University of Washington is working on what it calls a data commons approach, and the group suggested looking at identifying rules for a self-governance approach to managing data sets and the ethical challenges that would come with such an approach. Austen Applegate, senior program assistant with the Board on Higher Education and Workforce at the National Academies, served as the rapporteur for group D, which discussed the challenges of dealing with the fundamental of linguistics in a multinational collaboration involving people who come from different cultural backgrounds.
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Key Terms

  • data science
  • historical context
  • honest brokers
  • governance framework
  • local scientists

  • local communities
  • data commons
  • data world
  • data ownership
  • data own

  • extraterrestrial data
  • including data
  • data subjects
  • data ethics
  • involving data

  • using data
  • managing data
  • asked community
  • diverse populations
  • violating privacy

  • sionality representing
  • board civil
  • rechkemmer served
  • food security
  • orative research

  • community work
  • research entities
  • development goals
  • rules established
  • expanded view


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