| LDR | | 05836cmm u2200553 i 4500 |
| 001 | | 000000322924 |
| 003 | | OCoLC |
| 005 | | 20230613115548 |
| 006 | | m d |
| 007 | | cr cnu---unuuu |
| 008 | | 220910t20222022dcu ob 100 0 eng d |
| 020 | |
▼a 0309686539 |
| 020 | |
▼a 9780309686532
▼q (electronic bk.) |
| 035 | |
▼a 3377358
▼b (N$T) |
| 035 | |
▼a (OCoLC)1344158243 |
| 040 | |
▼a EBLCP
▼b eng
▼e rda
▼c EBLCP
▼d N$T
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a HD30.2
▼b .A98 2022 |
| 082 | 04 |
▼a 658.4038
▼2 23/eng/20221028 |
| 245 | 00 |
▼a Automated research workflows for accelerated discovery :
▼b Closing the knowledge discovery loop /
▼c Committee on Realizing Opportunities for Advanced and Automated Workflows in Scientific Research ; Board on Research Data and Information ; Board on Mathematical Sciences and Analytics ; Committee on Applied and Theoretical Statistics ; Computer Science and Telecommunications Board ; Division on Engineering and Physical Sciences ; Policy and Global Affairs.
▼h [electronic resource] |
| 264 | 1 |
▼a Washington, DC :
▼b The National Academies Press,
▼c [2022] |
| 264 | 4 |
▼c 짤2022 |
| 300 | |
▼a 1 online resource (xviii, 117 pages) :
▼b color illustrations. |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 490 | 1 |
▼a A Consensus Study Report |
| 504 | |
▼a Includes bibliographical references (pages 95-108). |
| 505 | 0 |
▼a Front Matter -- Summary -- 1. Introduction -- 2. Context for Automated Research Workflows -- 3. Automated Research Workflows in Action -- 4. Automatic Research Workflows and Implications for Advancing Research Integrity, Reproducibility, and Dissemination -- 5. Overcoming Barriers to Wider Use of Automated Research Workflows -- 6. Conclusion -- Bibliography -- Appendix A: Workshop Agenda -- Appendix B: Committee Biosketches. |
| 520 | |
▼a "The needs and demands placed on science to address a range of urgent problems are growing. The world is faced with complex, interrelated challenges in which the way forward lies hidden or dispersed across disciplines and organizations. For centuries, scientific research has progressed through iteration of a workflow built on experimentation or observation and analysis of the resulting data. While computers and automation technologies have played a central role in research workflows for decades to acquire, process, and analyze data, these same computing and automation technologies can now also control the acquisition of data, for example, through the design of new experiments or decision making about new observations. The term automated research workflow (ARW) describes scientific research processes that are emerging across a variety of disciplines and fields. ARWs integrate computation, laboratory automation, and tools from artificial intelligence in the performance of tasks that make up the research process, such as designing experiments, observations, and simulations; collecting and analyzing data; and learning from the results to inform further experiments, observations, and simulations. The common goal of researchers implementing ARWs is to accelerate scientific knowledge generation, potentially by orders of magnitude, while achieving greater control and reproducibility in the scientific process. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop examines current efforts to develop advanced and automated workflows to accelerate research progress, including wider use of artificial intelligence. This report identifies research needs and priorities in the use of advanced and automated workflows for scientific research. Automated Research Workflows for Accelerated Discovery is intended to create awareness, momentum, and synergies to realize the potential of ARWs in scholarly discovery"--
▼c Provided by publisher. |
| 588 | |
▼a Description based on print version record. |
| 590 | |
▼a WorldCat record variable field(s) change: 050, 082, 650 |
| 650 | 0 |
▼a Research
▼x Methodology
▼v Congresses. |
| 650 | 0 |
▼a Knowledge management
▼v Congresses. |
| 650 | 0 |
▼a Workflow
▼v Congresses. |
| 650 | 0 |
▼a Artificial intelligence
▼x Data processing
▼v Congresses. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Committee on Realizing Opportunities for Advanced and Automated Workflows in Scientific Research,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Board on Research Data and Information.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Board on Mathematical Sciences and Analytics.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Committee on Applied and Theoretical Statistics.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Computer Science and Telecommunications Board.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Division on Engineering and Physical Sciences.,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Policy and Global Affairs.,
▼e issuing body. |
| 776 | 08 |
▼i Print version:
▼t Automated research workflows for accelerated discovery.
▼d Washington, DC : The National Academies Press, [2022]
▼z 9780309686525
▼w (OCoLC)1325648350 |
| 776 | 08 |
▼i Print version:
▼a National Academies of Sciences, Engineering, and Medicine
▼t Automated Research Workflows for Accelerated Discovery
▼d Washington, D.C. : National Academies Press,c2023
▼z 9780309686525 |
| 830 | 0 |
▼a Consensus study report. |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3377358 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 3377358 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |