Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Proell, Stefan"'
Publikováno v:
In IFAC PapersOnLine 2015 48(1):113-114
While sophisticated research infrastructures assist scientistsin managing massive volumes of data, the so-called long tailof research data frequently suffers from a lack of such ser-vices. This is mostly due to the complexity caused by the va-riety o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::656670270b1cb796dd37cae4ddf524b7
The WGDC recommendations enable researchers and data centers to identify and cite data used in experiments and studies. Instead of providing static data exports or textual descriptions of data subsets, we support a dynamic, query centric view of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::f05bec5ec7426bc03248e1e9041d2168
https://zenodo.org/record/1406002
https://zenodo.org/record/1406002
Digital preservation research has increasingly been shifting focus from the preservation of data and static objects to investigate the preservation of complete processes and workflows. Capturing all aspects of a process to be preserved, however, is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1726::9a0a82ec6159c2b5d8e81b2f0c31cbd9
https://hdl.handle.net/11353/10.293771
https://hdl.handle.net/11353/10.293771
Publikováno v:
2014 International Conference on Computer Vision Theory & Applications (VISAPP); 2014, p255-258, 4p
Publikováno v:
Datacite
ZENODO
ZENODO
The WGDC recommendations enable researchers and data centers to identify and cite data used in experiments and studies. Instead of providing static data exports or textual descriptions of data subsets, we support a dynamic, query centric view of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14d2b423390c8af906f1a767b830f9e0
https://zenodo.org/record/1406002
https://zenodo.org/record/1406002
Autor:
Starr J; California Digital Library, Oakland, CA, United States of America., Castro E; Institute of Quantitative Social Sciences, Harvard University, Cambridge, MA, United States of America., Crosas M; Institute of Quantitative Social Sciences, Harvard University, Cambridge, MA, United States of America., Dumontier M; Stanford University School of Medicine, Stanford, CA, United States of America., Downs RR; Center for International Earth Science Information Network (CIESIN), Columbia University, Palisades, NY, United States of America., Duerr R; National Snow and Ice Data Center, Boulder, CO, United States of America., Haak LL; ORCID, Inc., Bethesda, MD, United States of America., Haendel M; Oregon Health and Science University, Portland, OR, United States of America., Herman I; World Wide Web Consortium (W3C)/Centrum Wiskunde en Informatica (CWI), Amsterdam, Netherlands., Hodson S; ICSU Committee on Data for Science and Technology (CODATA), Paris, France., Hourclé J; Solar Data Analysis Center, NASA Goddard Space Flight Center, Greenbelt, MD, United States of America., Kratz JE; California Digital Library, Oakland, CA, United States of America., Lin J; Public Library of Science, San Francisco, CA, United States of America., Nielsen LH; European Organization for Nuclear Research (CERN), Geneva, Switzerland., Nurnberger A; Columbia University Libraries/Information Services, New York, NY, United States of America., Proell S; SBA Research, Vienna, Austria., Rauber A; Institute of Software Technology and Interactive Systems, Vienna University of Technology/TU Wien, Austria., Sacchi S; Columbia University Libraries/Information Services, New York, NY, United States of America., Smith A; American Physical Society, Ridge, NY, United States of America., Taylor M; Elsevier, Oxford, United Kingdom., Clark T; Harvard Medical School, Boston, MA, United States of America.
Publikováno v:
PeerJ. Computer science [PeerJ Comput Sci] 2015; Vol. 1.