Research Data Management: A Shared Responsibility

The presentation discusses how shared responsibility for data management supports research rigour and reproducibility, addressing growing concerns about the reliability of published research outcomes.

  • Higher-degree researchers (HDRs) / PhD candidates
  • Early-/mid-career researchers (EMCRs)
  • Senior researchers
  • Data custodians/managers
  • Infrastructure providers (including research facilities)
  • Digital skills trainers

By the end of reading this resource, you should understand:

  • the current state of research reproducibility and data availability
  • the shared responsibility model of research integrity
  • the FAIR Guiding Principles for scientific data management and stewardship
  • .

Shared responsibility for data management supports research rigour and reproducibility.

There is growing concern about the rigour and reproducibility of published research. The ARDC’s Paul Wong’s address to the 20th Australasian Research Management Society (ARMS) Conference, discussed shared responsibility for research data management.

DOI: 10.5281/zenodo.6529895

research data management shared responsibility
Wong, P. 2019, Research Data Management: a Shared Responsibility, Zenodo, https://doi.org/10.5281/zenodo.6529895.
Wong, P. (2019). Research Data Management: a Shared Responsibility. Zenodo. https://doi.org/10.5281/zenodo.6529895
Wong, Paul. “Research Data Management: a Shared Responsibility.” Zenodo, 2019, https://doi.org/10.5281/zenodo.6529895.
Wong P. Research Data Management: a Shared Responsibility. Zenodo. 2019. Available from: https://doi.org/10.5281/zenodo.6529895
Wong, Paul. “Research Data Management: a Shared Responsibility.” Zenodo, 2019. https://doi.org/10.5281/zenodo.6529895.
P. Wong, “Research Data Management: a Shared Responsibility,” Zenodo, 2019. [Online]. Available: https://doi.org/10.5281/zenodo.6529895
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