A new ecosystem for evidence synthesis

Synthesizing evidence is an essential part of scientific progress, but it is often done in a slow and uncoordinated manner, sometimes producing misleading conclusions. Here, we propose the idea of an ‘open synthesis community’ to resolve this pressing issue.

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Fig. 1: Open synthesis community.

References

  1. 1.

    Sánchez-Tójar, A. et al. eLife 7, e37385 (2018).

  2. 2.

    Jefferson, T. & Doshi, P. BMJ 348, g2263 (2014).

  3. 3.

    Koricheva, J. & Kulinskaya, E. Trends Ecol. Evol. 34, 895–902 (2019).

  4. 4.

    Borah, R., Brown, A. W., Capers, P. L. & Kaiser, K. A. BMJ Open 7, e012545 (2017).

  5. 5.

    Brassey, J. et al. BMJ Evid.-Based Med. https://doi.org/10.1136/bmjebm-2018-111126 (2019).

  6. 6.

    Ioannidis, J. P. A. Milbank Q. 94, 485–514 (2016).

  7. 7.

    Gurevitch, J., Koricheva, J., Nakagawa, S. & Stewart, G. Nature 555, 175–182 (2018).

  8. 8.

    Seidler, A. L. et al. BMJ 367, l5342 (2019).

  9. 9.

    Gerstner, K. et al. Methods Ecol. Evol. 8, 777–784 (2017).

  10. 10.

    Holcombe, A. Nature 571, 147–147 (2019).

  11. 11.

    Elliott, J. H. et al. PLOS Med. 11, e1001603 (2014).

  12. 12.

    Nakagawa, S. et al. Trends Ecol. Evol. 34, 224–238 (2019).

  13. 13.

    Westgate, M. J. et al. Nat. Ecol. Evol. 2, 588–590 (2018).

  14. 14.

    Haddaway, N. R. & Crowe, S. Environ. Evid. 7, 11 (2018).

  15. 15.

    Haddaway, N. R. Environ. Evid. 7, 26 (2018).

  16. 16.

    Wilkinson, M. D. et al. Sci. Data 3, 160018 (2016).

  17. 17.

    Longo, D. L. & Drazen, J. M. N. Engl. J. Med. 374, 276–277 (2016).

  18. 18.

    West, J. D., Jacquet, J., King, M. M., Correll, S. J. & Bergstrom, C. T. PLOS ONE 8, e66212 (2013).

  19. 19.

    Grogan, K. E. Nat. Ecol. Evol. 3, 3–6 (2019).

  20. 20.

    Freeman, R. B. & Huang, W. Nature 513, 305 (2014).

  21. 21.

    Begley, C. G. & Ellis, L. M. Nature 483, 531–533 (2012).

  22. 22.

    Sholler, D., Ram, K., Boettiger, C. & Katz, D. S. Big Data Soc. 6, https://doi.org/10.1177/2053951719836258 (2019).

  23. 23.

    Culina, A., Crowther, T. W., Ramakers, J. J. C., Gienapp, P. & Visser, M. E. Nat. Ecol. Evol. 2, 1053–1056 (2018).

  24. 24.

    Kidwell, M. C. et al. PLOS Biol. 14, e1002456 (2016).

  25. 25.

    Vazire, S. Perspect. Psychol. Sci. 13, 411–417 (2018).

Download references

Acknowledgements

Evidence Synthesis Hackathon 2019 was supported by the Faculty of Science at UNSW Sydney, Fenner School of Environment & Society at the Australian National University, Stockholm Environment Institute and University of Johannesburg. A.S.-T. was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer 316099922 - TRR 212.

Author information

Correspondence to Shinichi Nakagawa.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Nakagawa, S., Dunn, A.G., Lagisz, M. et al. A new ecosystem for evidence synthesis. Nat Ecol Evol 4, 498–501 (2020). https://doi.org/10.1038/s41559-020-1153-2

Download citation