AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the val...

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Autores principales:	Harper, L., Campbell, J., Cannon, Ethalinda K.S., Jung, S., Poelchau, M., Walls, R., Andorf, C., Arnaud, Elizabeth, Berardini, T.Z., Birkett, Clay L., Cannon, S., Carson, J., Condon, B., Cooper, Laurel D., Dunn, N., Elsik, C.G., Farmer, A, Ficklin, S.P., Grant, D., Grau, E., Herndon, N., Hu, Z.L., Humann, J., Jaiswal, P., Jonquet, C., Laporte, Marie-Angélique, Larmande, Pierre, Lazo, G., McCarthy, F., Menda, N., Mungall, C.J., Muñoz Torres, Mónica Cecilia, Naithani, S., Nelson, R., Nesdill, D., Park, C., Reecy, J., Reiser, L., Sanderson, Lacey-Anne, Sen, T.Z., Staton, M., Subramaniam, S., Tello-Ruiz, M.K., Unda, V., Unni, D., Wang, L., Ware, D., Wegrzyn, J., Williams, J., Woodhouse, M.T., Yu, J., Main, D.
Formato:	Journal Article
Lenguaje:	Inglés
Publicado:	Oxford University Press 2018
Materias:	databases data access to information data collection data management agricultural research information systems
Acceso en línea:	https://hdl.handle.net/10568/100809