Construct · 1 fields · 1 citations

FAIR principles: a standalone construct

One name. One construct. A landmark on the map.

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FAIRprinciples1 CONSTRUCTFAIR principlesWILKINSON · DATA SCIENCE

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Data science

guiding principles that scientific data should be findable, accessible, interoperable and reusable by both people and machines.

In data science, FAIR principles refers to guiding principles that scientific data should be findable, accessible, interoperable and reusable by both people and machines. This meaning comes from Wilkinson (2016) in Scientific Data.[1]

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veil of ignorance1 fields · 3 citationsanchor · a standalone construct

References

  1. Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., ’t Hoen, P. A. C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., & Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1). https://doi.org/10.1038/sdata.2016.18

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