Data Reproducibility

  1. Consult with the core director or staff in the planning stage.
  2. Design your experiment with sufficient controls (rigor) and replicates (reproducibility).
  3. Follow the sample preparation guidelines discussed at the training. Check the solubility and stability of your samples, filter and degas solvents and samples before starting an experiment.
  4. Have a clear and detailed protocol and data analysis plan. Ensure that the protocol is strictly followed or that any deviation is well documented.
  5. Document all steps, reagents, equipment and data collection settings and analysis methods used in the experiment.
  6. Save all your experimental data.

Please note that the NIH, NSF and other funding agencies require rigor and reproducibility to be addressed explicitly in grant applications. More information can be found here.