Ten simple rules for responsible big data research

碰巧看到這篇不算長的文章”Ten simple rules for responsible big data research“。雖然內容不長,但自己還是沒耐心把它好好仔細從頭讀到尾。為了對這十三位在該領域各據名聲風騷的聯合作者表示歉意,就把他們所列出對於這個世代著迷於大數據之際對研究倫理提出重要警醒的十大重要規則給翻成中文,順便滿足一下我個人對於 responsible data 不成熟的好奇。


  1. Acknowledge that data are people and can do harm 認知到資料代表活生生的人,可能因此對人造成傷害

  2. Recognize that privacy is more than a binary value 認知隱私權並不只是二元是非的價值

  3. Guard against the reidentification of your data 防護阻止研究資料被用來重新連結當事人的身份識別

  4. Practice ethical data sharing 落實倫理負責的資料分享

  5. Consider the strengths and limitations of your data; big does not automatically mean better 考慮所使用資料本身的強處與限制,大數據並不是自動就代表更好

  6. Debate the tough, ethical choices 討論辯詰倫理抉擇的艱困課題

  7. Develop a code of conduct for your organization, research community, or industry 發展組織、研究社群或業內良好的行為準則

  8. Design your data and systems for auditability 設計讓資料與系統可接受審核稽查

  9. Engage with the broader consequences of data and analysis practices 深入探討資料分析所帶來的更廣泛結果

  10. Know when to break these rules 了解何時要打破以上這些規則

Share Comments
comments powered by Disqus