Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Merce Crosas"'
Autor:
Alyssa Goodman, Alberto Pepe, Alexander W Blocker, Christine L Borgman, Kyle Cranmer, Merce Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hedstrom, David W Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra Slavkovic
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 4, p e1003542 (2014)
Externí odkaz:
https://doaj.org/article/5244d57974a94c6bbe422ea7c3b0061d
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e104798 (2014)
We analyze data sharing practices of astronomers over the past fifteen years. An analysis of URL links embedded in papers published by the American Astronomical Society reveals that the total number of links included in the literature rose dramatical
Externí odkaz:
https://doaj.org/article/0c58f0c2d9754c5abe4f41dc41615232
Autor:
Dr. Ana Trisovic, Dr. Merce Crosas
The FAIR guiding principles state that published research objects should be made Findable, Accessible, Interoperable, and Reusable for other researchers. Data repositories provide research dissemination following FAIR principles while also developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3e1dafae2e55edf4de9946d09bd4b89
The dawning of the digital research age – computational science, computational social science, and the digital humanities – brings with it both enormous potential and challenges. Visions of interactive publication, open data, reproducible results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02aa27a03b64164117f20e0171cb230e
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-16 (2022)
Abstract This article presents a study on the quality and execution of research code from publicly-available replication datasets at the Harvard Dataverse repository. Research code is typically created by a group of scientists and published together
Externí odkaz:
https://doaj.org/article/57bc189d9c264cf6b2fa8def023772c9
Autor:
Merce Crosas
Over the last decade, the Data Science team at Harvard's Institute for Quantitative Social Science has been iteratively developing Dataverse, a data repository framework to facilitate and enhance research transparency through data sharing, preservati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40886b9269ca46f5cf133c5dcc476ceb
Publikováno v:
Data, Vol 6, Iss 2, p 15 (2021)
Sharing data and code for reuse has become increasingly important in scientific work over the past decade. However, in practice, shared data and code may be unusable, or published results obtained from them may be irreproducible. Data repository feat
Externí odkaz:
https://doaj.org/article/469ac9a1eb7442bda31e25ff5a1a59a3
Autor:
Peter A. Meyer, Stephanie Socias, Jason Key, Elizabeth Ransey, Emily C. Tjon, Alejandro Buschiazzo, Ming Lei, Chris Botka, James Withrow, David Neau, Kanagalaghatta Rajashankar, Karen S. Anderson, Richard H. Baxter, Stephen C. Blacklow, Titus J. Boggon, Alexandre M. J. J. Bonvin, Dominika Borek, Tom J. Brett, Amedeo Caflisch, Chung-I Chang, Walter J. Chazin, Kevin D. Corbett, Michael S. Cosgrove, Sean Crosson, Sirano Dhe-Paganon, Enrico Di Cera, Catherine L. Drennan, Michael J. Eck, Brandt F. Eichman, Qing R. Fan, Adrian R. Ferré-D'Amaré, J. Christopher Fromme, K. Christopher Garcia, Rachelle Gaudet, Peng Gong, Stephen C. Harrison, Ekaterina E. Heldwein, Zongchao Jia, Robert J. Keenan, Andrew C. Kruse, Marc Kvansakul, Jason S. McLellan, Yorgo Modis, Yunsun Nam, Zbyszek Otwinowski, Emil F. Pai, Pedro José Barbosa Pereira, Carlo Petosa, C. S. Raman, Tom A. Rapoport, Antonina Roll-Mecak, Michael K. Rosen, Gabby Rudenko, Joseph Schlessinger, Thomas U. Schwartz, Yousif Shamoo, Holger Sondermann, Yizhi J. Tao, Niraj H. Tolia, Oleg V. Tsodikov, Kenneth D. Westover, Hao Wu, Ian Foster, James S. Fraser, Filipe R. N C. Maia, Tamir Gonen, Tom Kirchhausen, Kay Diederichs, Mercè Crosas, Piotr Sliz
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-12 (2016)
The validation and analysis of X-ray crystallographic data is essential for reproducibility and the development of crystallographic methods. Here, the authors describe a repository for crystallographic datasets and demonstrate some of the ways it cou
Externí odkaz:
https://doaj.org/article/72383da3679147f9a2668c703d709d2e
Autor:
Mercè Crosas
Publikováno v:
Journal of eScience Librarianship, Vol 1, Iss 3, Pp 173-179 (2012)
From the early days of modern science through this century of Big Data, data sharing has enabled some of the greatest advances in science. In the digital age, technology can facilitate more effective and efficient data sharing and preservation practi
Externí odkaz:
https://doaj.org/article/09b9c912d7ce408aa59a6a548c037f29
Publikováno v:
Code4Lib Journal, Iss 30 (2015)
This article describes the novel open source tools for open data publication in open access journal workflows. This comprises a plugin for Open Journal Systems that supports a data submission, citation, review, and publication workflow; and an extens
Externí odkaz:
https://doaj.org/article/cd7e1d886f7f402cbc988ae260d0186c