Lesson plan

Data sharing

Data sharing denotes the dissemination of research datasets to enable access and use by other investigators. Policies governing this practice are increasingly instituted by funding agencies, academic institutions, and scholarly journals, reflecting the consensus that transparency and openness constitute foundational principles of the scientific method. A number of funding agencies and science journals require authors of peer-reviewed papers to share any supplemental information (raw data, statistical methods or source code) necessary to understand, develop or reproduce published research. A great deal of scientific research is not subject to data sharing requirements, and many of these policies have liberal exceptions. In the absence of any binding requirement, data sharing is at the discretion of the scientists themselves. In addition, in certain situations governments and institutions prohibit or severely limit data sharing to protect proprietary interests, national security, and subject/patient/victim confidentiality. Data sharing may also be restricted to protect institutions and scientists from use of data for political purposes. Data and methods may be requested from an author years after publication. In order to encourage data sharing and prevent the loss or corruption of data, a number of funding agencies and journals established policies on data archiving.…

Back to article

Article summary

Data sharing denotes the dissemination of research datasets to enable access and use by other investigators. Policies governing this practice are increasingly instituted by funding agencies, academic institutions, and scholarly journals, reflecting the consensus that transparency and openness constitute foundational principles of the scientific method. A number of funding agencies and science journals require authors of peer-reviewed papers to share any supplemental information (raw data, statistical methods or source code) necessary to understand, develop or reproduce published research. A great deal of scientific research is not subject to data sharing requirements, and many of these policies have liberal exceptions. In the absence of any binding requirement, data sharing is at the discretion of the scientists themselves. In addition, in certain situations governments and institutions prohibit or severely limit data sharing to protect proprietary interests, national security, and subject/patient/victim confidentiality. Data sharing may also be restricted to protect institutions and scientists from use of data for political purposes. Data and methods may be requested from an author years after publication. In order to encourage data sharing and prevent the loss or corruption of data, a number of funding agencies and journals established policies on data archiving.…

Key claims

  1. publication date: 2006 — source: Wikipedia · confidence 0.95
  2. publication date: 2015 — source: Wikipedia · confidence 0.95
  3. publication date: 2017 — source: Wikipedia · confidence 0.95
  4. publication date: 2009 — source: Wikipedia · confidence 0.95
  5. publication date: 2002-05-31 — source: Wikipedia · confidence 0.95

Discussion questions

  1. Summarise the article in your own words. Which single claim would you verify first, and why?
  2. The record states that the publication date is "2006". What evidence would count against this claim?
  3. The record states that the publication date is "2015". What evidence would count against this claim?
  4. The record states that the publication date is "2017". What evidence would count against this claim?
  5. The record states that the publication date is "2009". What evidence would count against this claim?
  6. The record states that the publication date is "2002-05-31". What evidence would count against this claim?
  7. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
  8. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

Bibliography

  1. Wikipedia https://en.wikipedia.org/w/index.php?oldid=1376788556

Key claims and bibliography are generated from the same tracked claims and sources as the article page.