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There are many helpful online resources on building labs and teams. Some are produced by other academics, and others are shared by industry professionals. We have curated a collection of these resources below that are complementary to the materials on Start Your Lab.

News & magazines#

  • Three keys to launching your own lab by Leah H. Somerville, William A. Cunningham, June Gruber, Jay J. Van Bavel, and Neil A. Lewis, Jr., all of whom are social scientists with experience starting a lab of their own

Blog posts#

Online books#

Journal articles#

Researchers from multiple fields have published fascinating work on best practices for research teams and, more generally, team science. The articles referenced below are representative of a thriving area of scientific inquiry, many of which include observations and suggestions to help motivate your adoption of better tools and practices in the academic research setting.

Wilson, G., Aruliah, D. A., Brown, C. T., Hong, N. P., Davis, M., Guy, R. T., Haddock, S. H., Huff, K. D., Mitchell, I. M., Plumbley, M. D., Waugh, B., White, E. P., & Wilson, P. (2014). Best Practices for Scientific Computing. PLOS Biology, 12(1), e1001745. Link to article

Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., & Teal, T. K. (2017). Good enough practices in scientific computing. PLOS Computational Biology, 13(6), e1005510. Link to article

Lee, G., Bacon, S., Bush, I., Fortunato, L., Gavaghan, D., Lestang, T., Morton, C., Robinson, M., Rocca-Serra, P., Sansone, S., & Webb, H. (2021). Barely sufficient practices in scientific computing. Patterns, 2(2), 100206. Link to article

Lowndes, J. S., Best, B. D., Scarborough, C., Afflerbach, J. C., Frazier, M. R., O’Hara, C. C., Jiang, N., & Halpern, B. S. (2017). Our path to better science in less time using open data science tools. Nature Ecology & Evolution, 1(6), 1-7. Link to article

Perez-Riverol, Y., Gatto, L., Wang, R., Sachsenberg, T., Uszkoreit, J., Leprevost, F. d., Fufezan, C., Ternent, T., Eglen, S. J., Katz, D. S., Pollard, T. J., Konovalov, A., Flight, R. M., Blin, K., & Vizcaíno, J. A. (2016). Ten Simple Rules for Taking Advantage of Git and GitHub. PLOS Computational Biology, 12(7), e1004947. Link to article

Osborne, J. M., Bernabeu, M. O., Bruna, M., Calderhead, B., Cooper, J., Dalchau, N., Dunn, S., Fletcher, A. G., Freeman, R., Groen, D., Knapp, B., McInerny, G. J., Mirams, G. R., Pitt-Francis, J., Sengupta, B., Wright, D. W., Yates, C. A., Gavaghan, D. J., Emmott, S., & Deane, C. (2014). Ten Simple Rules for Effective Computational Research. PLOS Computational Biology, 10(3), e1003506. Link to article

Ram, K. (2013). Git can facilitate greater reproducibility and increased transparency in science. Source Code for Biology and Medicine, 8(1), 7. Link to article

Eglen, S. J., Marwick, B., Halchenko, Y. O., Hanke, M., Sufi, S., Gleeson, P., Silver, R. A., Davison, A. P., Lanyon, L., Abrams, M., Wachtler, T., Willshaw, D. J., Pouzat, C., & Poline, J. (2017). Toward standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience, 20(6), 770-773. Link to article

Zeng, A., Fan, Y., Di, Z., Wang, Y., & Havlin, S. (2021). Fresh teams are associated with original and multidisciplinary research. Nature Human Behaviour. Link to article

Wu, L., Wang, D., & Evans, J. A. (2019). Large teams develop and small teams disrupt science and technology. Nature, 566(7744), 378-382. Link to article

Last updated on by Ari Dyckovsky