Open Science: Focus #2: Data sharing VS risk of plagiarism 😱

Focus #2: Data sharing VS risk of plagiarism 😱

Question / answers 98 respondents

Rate the following statements from 1 to 10 (1 = strongly disagree; 5 = no opinion; 10 = strongly agree):

2 I'm afraid that sharing my data will facilitate plagiarism or uncredited reuse
3.9
38%1
7%2
6%3
6%4
15%5
6%6
4%7
1%8
4%9
11%10

Comments

  • Depositing articles, data or software in a certified repository comes with a timestamp that certifies the authorship of the ideas shared.
  • Plagiarising data that is already online, with names and an official publication date, is impossible.
  • Paradoxically, data hidden away in a drawer is easier to “borrow” without leaving a trace during an informal discussion or a manuscript review. Once published, data is protected by its own visibility.
  • Sharing in open science does not mean “giving away without conditions”. Licences are used to govern how data can be reused.

Answers from the Open Science Quiz at the GeM 2026 General Assembly

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