Results 31 to 40 of about 13,846,560 (292)

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

Thoughts on Starting the CODATA Data Science Journal

Data Science Journal, 2023
This essay discusses some of the considerations that led to the founding of the [CODATA] Data Science Journal. Three factors were most relevant to the founding.
John Rumble
doaj   +1 more source

Greater data science at baccalaureate institutions [PDF]

, 2017
Donoho's JCGS (in press) paper is a spirited call to action for statisticians, who he points out are losing ground in the field of data science by refusing to accept that data science is its own domain. (Or, at least, a domain that is becoming distinctly
Baumer, Benjamin S., Horton, Nicholas J., McNamara, Amelia   +2 more
core   +3 more sources

Data Science and Prediction [PDF]

SSRN Electronic Journal, 2012
Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers.
openaire   +1 more source

Looking Back to the Future: A Glimpse at Twenty Years of Data Science

Data Science Journal, 2023
This paper carries out a lightweight review to explore the potentials of data science in the last two decades and especially focuses on the four essential components: data resources, technologies, data infrastructures, and data education. Considering the
Lili Zhang
doaj   +1 more source

Big-Data-Driven Materials Science and its FAIR Data Infrastructure [PDF]

, 2019
This chapter addresses the forth paradigm of materials research -- big-data driven materials science. Its concepts and state-of-the-art are described, and its challenges and chances are discussed.
A Agrawal, A Gulans, A Jain, A Jain, A Rahman, A Seko, A Siebes, A Ziletti, AH Larsen, AK Singh, AP Bartók, AP Bartók, BJ Alder, BJ Alder, BJ Alder, BR Goldsmith, C Draxl, C Draxl, CE Calderon, Claudia Draxl, D Lazer, DL Donoho, EJ Candro, EJ Candès, EJ Candès, ER Scerri, F Faber, F Herrera, G Kresse, GE Hinton, GE Hinton, IJ Nelson, IY Zhang, J Enkovaara, J Pearl, J Pizzi, J Saal, JC Slater, JC Slater, JC Slater, JC Slater, JC Slater, JH Friedman, K Hansen, K Hansen, K Lejaeghere, K Reuter, KF Garrity, KT Schütt, L Hedin, LM Ghiringhelli, LM Ghiringhelli, LM Ghiringhelli, M Atzmueller, M Rupp, MD Wilkinson, MJ Setten van, MT Yin, N Metropolis, Nature editorial, NV Chawla, P Blaha, P Hohenberg, P Pyykkö, R Ouyang, R Tibshirani, S Curtarolo, S Lorenz, S Lorenz, TB Blank, V Blum, VL Moruzzi, W Duivesteijn, W Kohn, Y Zhang   +74 more
core   +3 more sources

Data Science and Earth System Science

, 2022
AbstractData-driven science has turned into a fourth fundamental paradigm of performing research. Earth System Science, following a holistic approach in unraveling the complex network of processes and interactions shaping system Earth, particularly profits from embracing data-driven approaches next to observation and modeling.
zu Castell, Wolfgang, Ruhnke, Roland, Bouwer, Laurens M., Brix, Holger, Dietrich, Peter, Dransch, Doris, Frickenhaus, Stephan, Greinert, Jens, Petzold, Andreas   +8 more
openaire   +4 more sources

The medical science DMZ: a network design pattern for data-intensive medical science [PDF]

, 2017
: Objective We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. Materials and Methods
Balas, Edward, Barnett, William, Berman, Ari, Cuff, James, Dart, Eli, Grossman, Robert L., Peisert, Sean, Shankar, Anurag, Tierney, Brian   +8 more
core   +1 more source

Anomaly Detection for Science DMZs Using System Performance Data [PDF]

, 2020
Science DMZs are specialized networks that enable large-scale distributed scientific research, providing efficient and guaranteed performance while transferring large amounts of data at high rates.
Bishop, M, Gegan, R, Ghosal, D, Mao, C, Peisert, S   +4 more
core   +1 more source

Curriculum Guidelines for Undergraduate Programs in Data Science [PDF]

, 2017
The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
Agarwal, Mahesh, Averett, Maia, Baumer, Benjamin, Bray, Andrew, Bressoud, Thomas, Bryant, Lance, Cheng, Lei, De Veaux, Richard, Francis, Amanda, Gould, Robert, Kim, Albert Y., Kretchmar, Matt, Lu, Qin, Moskol, Ann, Nolan, Deborah, Pelayo, Roberto, Raleigh, Sean, Sethi, Ricky J., Sondjaja, Mutiara, Tiruviluamala, Neelesh, Uhlig, Paul, Washington, Talitha, Wesley, Curtis, White, David, Ye, Ping   +24 more
core   +3 more sources