Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Alexis-Michel Mugabushaka"'
Publikováno v:
Quantitative Science Studies, Vol 3, Iss 3 (2022)
Externí odkaz:
https://doaj.org/article/2434f1c745ac40aeb5868e2a9738ed10
Worldwide, governments have started to ease or end the Covid-19 restrictions, signaling the beginning of the end of a pandemic which, according to the WHO, infected over 400 million people and caused 5.8 million deaths, not to speak of the devastatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::048de4a053e0acfed4f1ceca0ef74691
https://hdl.handle.net/1887/3514533
https://hdl.handle.net/1887/3514533
The European Research Council (ERC), Europe’s premiere funding agency for frontier research, views equality of opportunities as an essential priority. The ERC monitors closely various demographic data yearly on every call and has taken actions to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0595380982af5b3a534eae805e8c758a
https://doi.org/10.5194/egusphere-egu2020-13968
https://doi.org/10.5194/egusphere-egu2020-13968
Publikováno v:
ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium ISBN: 9783030558130
ADBIS/TPDL/EDA Workshops
ADBIS/TPDL/EDA Workshops
We present DINGO (Data INtegration for Grants Ontology), an ontology that provides a machine readable extensible framework to model data relative to projects, funding, actors, and, notably, funding policies in the research landscape. DINGO is designe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c7f2feb87e9ff19bd56232013fbd77
https://doi.org/10.1007/978-3-030-55814-7_15
https://doi.org/10.1007/978-3-030-55814-7_15
Publikováno v:
Scientometrics. 107:593-607
In bibliometrics, interdisciplinarity is often measured in terms of the "diversity" of research areas in the references that an article cites. The standard indicators used are borrowed mostly from other research areas, notably from ecology (biodivers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93523df3d46b143c07eeac2760a2bc97
https://doi.org/10.1007/s11192-016-1865-x
https://doi.org/10.1007/s11192-016-1865-x
Autor:
Chialva, Diego, Alexis-Michel Mugabushaka, Waagmeester, Andra, Baker, Thomas, Brickley, Dan, Prud'hommeaux, Eric, Thornton, Katherine, Murray-Rust, Peter, Thompson, Mark
This document contains the specification of the ontology/datamodel DINGO (Data Integration for Grant Ontology). DINGO is an ontology expressly designed to provide an extensible interoperable framework for formally conceptualizing and expressing the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3658a30be3ce020010ec806ede77131d
Publikováno v:
Reflets et perspectives de la vie économique. (4):81-98
I23, J61
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40f1f4cf8d9f98c8383da2b0f1aecd91
http://www.cairn.info/load_pdf.php?ID_ARTICLE=RPVE_524_0081
http://www.cairn.info/load_pdf.php?ID_ARTICLE=RPVE_524_0081
Publikováno v:
Journal of Higher Education in Africa. 1:57-77
The 1980s brought about sweeping and far-reaching structural changes in many African countries, which greatly affected the higher education sector. Though, the task of training the professional and political elite had been achieved in the previ- ous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::820b0e7155f63a2304a326bf8f088990
https://doi.org/10.57054/jhea.v1i1.1690
https://doi.org/10.57054/jhea.v1i1.1690
Autor:
Philippe Rocca-Serra, Jacques E. Remacle, Amanda Collis, Susan K. Gregurick, Mary Maxon, Dawn Field, Nicola Perrin, Susanna-Assunta Sansone, Bela Tiwari, John Wilbanks, Eugene Kolker, Alexis-Michel Mugabushaka, Patrik Kolar, Siân Millard, Timothy F. Booth, Mark Thorley, Peter Dukes, Chris F. Taylor, Karen Kennedy, Karin A. Remington
Publikováno v:
Science. 326:234-236
Development of high-throughput genomic and postgenomic technologies has caused a change in approaches to data handling and processing ( 1 ). One biological sample might be used to generate many kinds of “big” data in parallel, such as genome sequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d5d15615d10bb0795434cc12a1b811
https://doi.org/10.1126/science.1180598
https://doi.org/10.1126/science.1180598