Zobrazeno 1 - 10
of 422
pro vyhledávání: '"González, Beltrán"'
Autor:
Albertoni, Riccardo, Browning, David, Cox, Simon, Gonzalez-Beltran, Alejandra N., Perego, Andrea, Winstanley, Peter
DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. Since its first release in 2014 as a W3C Recommendation, DCAT has seen a wide adoption across communities and domains, particularly in conju
Externí odkaz:
http://arxiv.org/abs/2303.08883
Autor:
Mitchell, Sonia Natalie, Lahiff, Andrew, Cummings, Nathan, Hollocombe, Jonathan, Boskamp, Bram, Field, Ryan, Reddyhoff, Dennis, Zarebski, Kristian, Wilson, Antony, Viola, Bruno, Burke, Martin, Archibald, Blair, Bessell, Paul, Blackwell, Richard, Boden, Lisa A, Brett, Alys, Brett, Sam, Dundas, Ruth, Enright, Jessica, Gonzalez-Beltran, Alejandra N., Harris, Claire, Hinder, Ian, Hughes, Christopher David, Knight, Martin, Mano, Vino, McMonagle, Ciaran, Mellor, Dominic, Mohr, Sibylle, Marion, Glenn, Matthews, Louise, McKendrick, Iain J., Pooley, Christopher Mark, Porphyre, Thibaud, Reeves, Aaron, Townsend, Edward, Turner, Robert, Walton, Jeremy, Reeve, Richard
Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changing during a disease outbreak, are particularly challenging. Data manage
Externí odkaz:
http://arxiv.org/abs/2110.07117
Publikováno v:
Cuadernos de Ilustración y Romanticismo, Iss 29, Pp 449-452 (2023)
Book review
Externí odkaz:
https://doaj.org/article/a08f37ac0e634bcd8909d60321f81437
Autor:
Registries, Task Force on Best Practices for Software, Monteil, Alain, Gonzalez-Beltran, Alejandra, Ioannidis, Alexandros, Allen, Alice, Lee, Allen, Bandrowski, Anita, Wilson, Bruce E., Mecum, Bryce, Du, Cai Fan, Robinson, Carly, Garijo, Daniel, Katz, Daniel S., Long, David, Milliken, Genevieve, Ménager, Hervé, Hausman, Jessica, Spaaks, Jurriaan H., Fenlon, Katrina, Vanderbilt, Kristin, Hwang, Lorraine, Davis, Lynn, Fenner, Martin, Crusoe, Michael R., Hucka, Michael, Wu, Mingfang, Hong, Neil Chue, Teuben, Peter, Stall, Shelley, Druskat, Stephan, Carnevale, Ted, Morrell, Thomas
Scientific software registries and repositories serve various roles in their respective disciplines. These resources improve software discoverability and research transparency, provide information for software citations, and foster preservation of co
Externí odkaz:
http://arxiv.org/abs/2012.13117
Publikováno v:
PLoS Comput Biol 17(6): e1009041 (2021)
We present ten simple rules that support converting a legacy vocabulary -- a list of terms available in a print-based glossary or table not accessible using web standards -- into a FAIR vocabulary. Various pathways may be followed to publish the FAIR
Externí odkaz:
http://arxiv.org/abs/2012.02325
Autor:
Katz, Daniel S., Bouquin, Daina, Hong, Neil P. Chue, Hausman, Jessica, Jones, Catherine, Chivvis, Daniel, Clark, Tim, Crosas, Mercè, Druskat, Stephan, Fenner, Martin, Gillespie, Tom, Gonzalez-Beltran, Alejandra, Gruenpeter, Morane, Habermann, Ted, Haines, Robert, Harrison, Melissa, Henneken, Edwin, Hwang, Lorraine, Jones, Matthew B., Kelly, Alastair A., Kennedy, David N., Leinweber, Katrin, Rios, Fernando, Robinson, Carly B., Todorov, Ilian, Wu, Mingfang, Zhang, Qian
The main output of the FORCE11 Software Citation working group (https://www.force11.org/group/software-citation-working-group) was a paper on software citation principles (https://doi.org/10.7717/peerj-cs.86) published in September 2016. This paper l
Externí odkaz:
http://arxiv.org/abs/1905.08674
Autor:
Wittenburg, P., Sustkova, H. Pergl, Montesanti, A., Bloemers, S. M., de Waard, S. H., Musen, M. A., Graybeal, J. B., Hettne, K. M., Jacobsen, A., Pergl, R., Hooft, R. W. W., Staiger, C., van Gelder, C. W. G., Knijnenburg, S. L., van Arkel, A. C., Meerman, B., Wilkinson, M. D., Sansone, S-A, Rocca-Serra, P., McQuilton, P., Gonzalez-Beltran, A. N., Aben, G. J. C., Henning, P., Alencar, S., Ribeiro, C., Silva, C. R. L., Sayao, L., Sales, L., Veiga, V., Lima, J., Dib, S., Xavier, P., Murtinho, R., Tendel, J., Schaap, B. F., Brouwer, P. M., Gavai, A. K., Bouzembrak, Y., Marvin, H. J. P., Mons, A., Kuhn, T., Gambardella, A. A., Azevedo, R. de Miranda, Muhonen, V., van der Naald, M., Smit, N. W., Buys, M. J., de Bruin, T. F., Schoots, F., Goodson, H. J. E., Rzepa, H. S., Jeffery, K. G., Shanahan, H. P., Axton, M., Tkachenko, V., Maya, A. D., Meyers, N. K., Conlon, M., Haak, L. L., Schultes, E. A.
There is a growing acknowledgement in the scientific community of the importance of making experimental data machine findable, accessible, interoperable, and reusable (FAIR). Recognizing that high quality metadata are essential to make datasets FAIR,
Externí odkaz:
http://arxiv.org/abs/1902.11162