Zobrazeno 1 - 4
of 4
pro vyhledávání: '"K. E. Maull"'
Autor:
Rebecca Koskela, Cynthia Parr, K. E. Maull, Philip Tarrant, Corinna Gries, Shelley Stall, Nancy Hoebelheinrich, Robert R. Downs, Ruth Duerr, Margaret O'Brien
Publikováno v:
Data Science Journal, Vol 18, Iss 1 (2019)
Data Science Journal; Vol 18 (2019); 58
Data Science Journal; Vol 18 (2019); 58
Despite growing recognition of the importance of public data to the modern economy and to scientific progress, long-term investment in the repositories that manage and disseminate scientific data in easily accessible-ways remains elusive. Repositorie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e7c078331bd4ed5a360896ad7e4328
https://datascience.codata.org/articles/1023
https://datascience.codata.org/articles/1023
Publikováno v:
Journal of the Association for Information Science and Technology. 68:1341-1359
Recent policy shifts on the part of funding agencies and journal publishers are causing changes in the acknowledgment and citation behaviors of scholars. A growing emphasis on open science and reproducibility is changing how authors cite and acknowle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56081ea9eca9243579ea4745cdcba0bb
https://doi.org/10.1002/asi.23721
https://doi.org/10.1002/asi.23721
Autor:
Matthew S. Mayernik, K. E. Maull
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175418 (2017)
PLoS ONE
PLoS ONE
Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting citations to data sets, software, and other research infrastructures like computing facilities. Open q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82c31a196fd75a9b65ef320cab2fa8c5
https://doaj.org/article/3e5fff6403f74bb4be0cad23f00ed4c9
https://doaj.org/article/3e5fff6403f74bb4be0cad23f00ed4c9
Autor:
Benjamin Gross, Matthew S. Mayernik, M. D. Daniels, Erica M. Johns, L. R. Rowan, Jon Corson-Rikert, K. E. Maull, Huda Khan, D. Stott
Publikováno v:
Data Science Journal; Vol 15 (2016); 11
Data Science Journal, Vol 15 (2016)
Data Science Journal, Vol 15 (2016)
The EarthCollab project is using the VIVO Semantic Web software suite to support the discovery of information, data, and potential collaborators within the geodesy and polar science communities. This paper discusses the ontology selection, consolidat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34c3e0a4345f8a55047d0f1840db1a99
https://doi.org/10.5334/dsj-2016-011
https://doi.org/10.5334/dsj-2016-011