Results 31 to 40 of about 12,937,092 (315)

Research Progress and Implementation of FAIR Principles for Scientific Data Management [PDF]

Nongye tushu qingbao xuebao, 2022
[Purpose/Significance] With the development of data-intensive scientific research paradigm, the effective discovery and reuse of scientific data is of great significance to the sharing of research results.
CHEN Shuxian, LIU Guifeng, LIU Qiong
doaj   +1 more source

Data curation standards and social science occupational information resources [PDF]

, 2007
Occupational information resources - data about the characteristics of different occupational positions - are widely used in the social sciences, across a range of disciplines and international contexts.
Gayle, V., Lambert, P., Prandy, K., Sinnott, R.O., Tan, L., Turner, K.   +5 more
core   +4 more sources

Teaching Data Science

Procedia Computer Science, 2016
10 pages, 4 figures, International Conference on Computational Science (ICCS 2016)
Robert J. Brunner, Edward J. Kim
openaire   +3 more sources

Open Science principles for accelerating trait-based science across the Tree of Life. [PDF]

, 2020
Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological and evolutionary science, and new data and methods have proliferated rapidly.
Adams, Vanessa M, Alroy, John, Andrew, Samuel C, Ankenbrand, Markus J, Balk, Meghan A, Bland, Lucie M, Boyle, Brad L, Bravo-Avila, Catherine H, Brennan, Ian, Carthey, Alexandra JR, Catullo, Renee, Cavazos, Brittany R, Chown, Steven L, Conde, Dalia A, Enquist, Brian J, Fadrique, Belen, Falster, Daniel S, Feng, Xiao, Gallagher, Rachael V, Gibb, Heloise, Halbritter, Aud H, Hammock, Jennifer, Hogan, J Aaron, Holewa, Hamish, Hope, Michael, Iversen, Colleen M, Jochum, Malte, Kattge, Jens, Kearney, Michael, Keller, Alexander, Mabee, Paula, Madin, Joshua S, Maitner, Brian S, Manning, Peter, McCormack, Luke, Michaletz, Sean T, Park, Daniel S, Pearse, William D, Penone, Caterina, Perez, Timothy M, Pineda-Munoz, Silvia, Poelen, Jorrit H, Ray, Courtenay A, Rossetto, Maurizio, Salguero-Gómez, Roberto, Sauquet, Hervé, Schneider, Florian D, Sparrow, Benjamin, Spasojevic, Marko J, Telford, Richard J, Tobias, Joseph A, Vandvik, Vigdis, Violle, Cyrille, Walls, Ramona, Weiss, Katherine CB, Westoby, Mark, Wright, Ian J   +56 more
core   +4 more sources

Towards Data Science

Data Science Journal, 2015
Currently, a huge amount of data is being rapidly generated in cyberspace. Datanature (all data in cyberspace) is forming due to a data explosion. Exploring the patterns and rules in datanature is necessary but difficult.
Yangyong Zhu, Yun Xiong
doaj   +1 more source

Head CT deep learning model is highly accurate for early infarct estimation

Scientific Reports, 2023
Non-contrast head CT (NCCT) is extremely insensitive for early ( 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-positive mixed ...
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev   +20 more
doaj   +1 more source

Mechanism Design for Data Science

, 2014
Good economic mechanisms depend on the preferences of participants in the mechanism. For example, the revenue-optimal auction for selling an item is parameterized by a reserve price, and the appropriate reserve price depends on how much the bidders are ...
Chawla, Shuchi, Hartline, Jason, Nekipelov, Denis   +2 more
core   +1 more source

ICSU and the Challanges of Data and Information Management for International Science

Data Science Journal, 2013
The International Council for Science (ICSU) vision explicitly recognises the value of data and information to science and particularly emphasises the urgent requirement for universal and equitable access to high quality scientific data and information ...
Peter Fox, Ray Harris
doaj   +1 more source

Risk Assessment for Scientific Data

Data Science Journal, 2020
Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use.
Matthew S. Mayernik, Kelsey Breseman, Robert R. Downs, Ruth Duerr, Alexis Garretson, Chung-Yi (Sophie) Hou, Environmental Data Governance Initiative (EDGI) and Earth Science Information Partners (ESIP) Data Stewardship Committee   +6 more
doaj   +1 more source

Prospecting (in) the data sciences [PDF]

Big Data & Society, 2020
Data science is characterized by engaging heterogeneous data to tackle real world questions and problems. But data science has no data of its own and must seek it within real world domains. We call this search for data “prospecting” and argue that the dynamics of prospecting are pervasive in, even characteristic of, data science.
Stephen C Slota, Andrew S Hoffman, David Ribes, Geoffrey C Bowker   +3 more
openaire   +4 more sources