標(biāo)題: Titlebook: Data Journeys in the Sciences; Sabina Leonelli,Niccolò Tempini Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s) 2020 Big [打印本頁(yè)] 作者: 全體 時(shí)間: 2025-3-21 16:53
書(shū)目名稱Data Journeys in the Sciences影響因子(影響力)
書(shū)目名稱Data Journeys in the Sciences影響因子(影響力)學(xué)科排名
書(shū)目名稱Data Journeys in the Sciences網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Data Journeys in the Sciences網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Data Journeys in the Sciences被引頻次
書(shū)目名稱Data Journeys in the Sciences被引頻次學(xué)科排名
書(shū)目名稱Data Journeys in the Sciences年度引用
書(shū)目名稱Data Journeys in the Sciences年度引用學(xué)科排名
書(shū)目名稱Data Journeys in the Sciences讀者反饋
書(shū)目名稱Data Journeys in the Sciences讀者反饋學(xué)科排名
作者: 抗生素 時(shí)間: 2025-3-21 20:40
http://image.papertrans.cn/d/image/262845.jpg作者: 刻苦讀書(shū) 時(shí)間: 2025-3-22 01:21 作者: 欄桿 時(shí)間: 2025-3-22 06:09
Birgit Szczyrba,Timo van Treeckg place when research technology makes physical contact with the objects targeted in research endeavours shape the subsequent data journeys and the practices of creating scientific knowledge. The chapter is based on a case study of ecological monitoring in ocean sciences and zooms in on the practice作者: 即席 時(shí)間: 2025-3-22 12:46 作者: Vasoconstrictor 時(shí)間: 2025-3-22 16:45 作者: Vasoconstrictor 時(shí)間: 2025-3-22 19:52
Matthew L. Cole,Jacqueline M. Stavrosuse as evidence for claims about phenomena such as business cycles and gene-environment interactions. We focus on what we call “cleaning by clustering” procedures, and investigate the principles underpinning this kind of cleaning. These cases illustrate the epistemic significance of preparing data f作者: ANTH 時(shí)間: 2025-3-22 23:16
Sarah M. Bestgen,Filomena Sabatellar of individual data series, each one in turn made up of a string of individual data points or datums. This group set forms the most important context for considering the travels of any single numerical datum. The purpose of this paper is to explore and explain how it is that different kinds of grou作者: 外來(lái) 時(shí)間: 2025-3-23 04:12
Coaching in der reflexiven Modernenetworks, and NDEx, a database that allows for the reuse of network representations. I begin with a brief review of the databases that have been developed for data involving, for example, protein-protein interactions, that are relational and hence productively represented in networks. Given the amou作者: Traumatic-Grief 時(shí)間: 2025-3-23 07:15
https://doi.org/10.1007/978-3-658-22677-0been called the “re-situation” of scientific knowledge (Morgan .). The kind of journey described elicits a missing concept—“data.-centric” biology—in the conversation around the emergence of “big data” and data-centric biology (Leonelli .) and its contrast, “traditional” or “small data” biology. I d作者: 伸展 時(shí)間: 2025-3-23 11:48 作者: Pigeon 時(shí)間: 2025-3-23 17:12
https://doi.org/10.1007/978-3-658-16847-6ntext by examining an ongoing initiative?– the International Surface Temperature Initiative (ISTI)?– that is developing a public databank of temperature observations as well as a system for benchmarking the methods that databank users employ to further process the data. Interestingly, the benchmarki作者: 愛(ài)哭 時(shí)間: 2025-3-23 18:42
Robert Wegener,Agnès Fritze,Michael Loebbertthe Randomized Clinical Trial (RCT) was the reference test for most regulatory agencies. Today, the standards are about to change, and in this chapter we draw on the idea of the data journey to illuminate the trade-offs involved. The 21st Century Cures Act (21CCA) allows for the use of Electronic He作者: 一致性 時(shí)間: 2025-3-24 00:01
Innovative Ways to Research Coachingof the visualization of data about family histories of mental illness?– and their interpretation in relation to questions around inheritability and underpinning biological causes?– through graphs and tables produced between?the mid-nineteenth century and the early twentieth century.作者: 使厭惡 時(shí)間: 2025-3-24 05:06 作者: locus-ceruleus 時(shí)間: 2025-3-24 07:42
The Evolution of Coaches as Artisansa from body measurements carried out on about 27,000 individuals. To this day, this data is being re-analyzed by researchers with a range of disciplinary interests. In my chapter, I will take a close look at a small subset of the original datasheets Boas used in his surveys, and how he and other sci作者: Terrace 時(shí)間: 2025-3-24 14:34 作者: 爆米花 時(shí)間: 2025-3-24 15:44 作者: finite 時(shí)間: 2025-3-24 21:26
Most Often, What Is Transmitted Is Transformedof the visualization of data about family histories of mental illness?– and their interpretation in relation to questions around inheritability and underpinning biological causes?– through graphs and tables produced between?the mid-nineteenth century and the early twentieth century.作者: 惡臭 時(shí)間: 2025-3-25 02:34 作者: 谷物 時(shí)間: 2025-3-25 03:40 作者: 煩擾 時(shí)間: 2025-3-25 09:19
Material Origins of a Data Journey in Ocean Science: How Sampling and Scaffolding Shape Data Practicg place when research technology makes physical contact with the objects targeted in research endeavours shape the subsequent data journeys and the practices of creating scientific knowledge. The chapter is based on a case study of ecological monitoring in ocean sciences and zooms in on the practice作者: Fortify 時(shí)間: 2025-3-25 11:39 作者: 天氣 時(shí)間: 2025-3-25 17:01 作者: 同謀 時(shí)間: 2025-3-25 21:24
From Dirty Data to Tidy Facts: Clustering Practices in Plant Phenomics and Business Cycle Analysisuse as evidence for claims about phenomena such as business cycles and gene-environment interactions. We focus on what we call “cleaning by clustering” procedures, and investigate the principles underpinning this kind of cleaning. These cases illustrate the epistemic significance of preparing data f作者: BOOM 時(shí)間: 2025-3-26 04:05 作者: Yag-Capsulotomy 時(shí)間: 2025-3-26 07:51
Data Journeys Beyond Databases in Systems Biology: Cytoscape and NDExnetworks, and NDEx, a database that allows for the reuse of network representations. I begin with a brief review of the databases that have been developed for data involving, for example, protein-protein interactions, that are relational and hence productively represented in networks. Given the amou作者: 使成波狀 時(shí)間: 2025-3-26 09:35
A Data Journey Through Dataset-Centric Population Genomicsbeen called the “re-situation” of scientific knowledge (Morgan .). The kind of journey described elicits a missing concept—“data.-centric” biology—in the conversation around the emergence of “big data” and data-centric biology (Leonelli .) and its contrast, “traditional” or “small data” biology. I d作者: FOLD 時(shí)間: 2025-3-26 16:23
Sharing Data, Repairing Practices: On the Reflexivity of Astronomical Data Journeyswhat data are like and how they ought to be used. It does so by attempting a reading of an episode of data re-use from recent astronomy that is mindful of researchers’ interactional and discursive work. I focus on the presumed detection, in 2004, of a galaxy at record distance from Earth. The origin作者: Kidney-Failure 時(shí)間: 2025-3-26 17:51 作者: miniature 時(shí)間: 2025-3-26 21:30 作者: 人工制品 時(shí)間: 2025-3-27 04:53
Most Often, What Is Transmitted Is Transformedof the visualization of data about family histories of mental illness?– and their interpretation in relation to questions around inheritability and underpinning biological causes?– through graphs and tables produced between?the mid-nineteenth century and the early twentieth century.作者: BRACE 時(shí)間: 2025-3-27 06:51 作者: Outmoded 時(shí)間: 2025-3-27 11:52 作者: Chemotherapy 時(shí)間: 2025-3-27 14:50
Book‘‘‘‘‘‘‘‘ 2020rneys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledg作者: Dedication 時(shí)間: 2025-3-27 19:50
Coaching im Human-Resource-Management (HRM)search areas that emerge from the analyses of data journeys garnered in this volume. In closing, it discusses the significance of this approach towards addressing the challenges raised by data-centric science and the emergence of big and open data.作者: Analogy 時(shí)間: 2025-3-28 01:37 作者: 苦澀 時(shí)間: 2025-3-28 04:14 作者: Lineage 時(shí)間: 2025-3-28 09:07 作者: archenemy 時(shí)間: 2025-3-28 13:01 作者: lanugo 時(shí)間: 2025-3-28 17:24
A Data Journey Through Dataset-Centric Population Genomicsf human genome diversity studies. I offer a model of data journeys to interpret the case. The model is comprised of three kinds of components: scientific data structures, data representations, and data journey narratives. The case study illustrates two visualizations that frame the dataset journey.作者: 最小 時(shí)間: 2025-3-28 22:39 作者: AGGER 時(shí)間: 2025-3-29 02:20 作者: 極微小 時(shí)間: 2025-3-29 03:18 作者: Infect 時(shí)間: 2025-3-29 08:19
https://doi.org/10.1007/978-3-658-16847-6 produced and used by ISTI, we uncover yet another variety of what Paul Edwards (A vast machine: computer models, climate data, and the politics of global warming. MIT Press, Cambridge, MA, 2010) has described as “model-data symbiosis” in the practice of climate science.作者: 敵手 時(shí)間: 2025-3-29 13:21
Feedbacksysteme im Coachingprozess of . is multi-layered and scaffolded. as it depends on relations between various kinds of data, computing technologies, assumptions, theoretical scaffoldings, hypotheses and other features of the situation at hand.作者: grudging 時(shí)間: 2025-3-29 18:42
The Evolution of Coaches as Artisansaphical information on the individuals measured, which allowed him to flexibly classify data in a variety of ways. It is this richness in structure, or “pattern data,” that explains why the data from Boas’s anthropometric projects remain valuable for researchers from a variety of disciplines to this very day.作者: 披肩 時(shí)間: 2025-3-29 21:46 作者: 臭名昭著 時(shí)間: 2025-3-30 01:12 作者: creatine-kinase 時(shí)間: 2025-3-30 07:15
Evaluating Data Journeys: Climategate, Synthetic Data and the Benchmarking of Methods for Climate Da produced and used by ISTI, we uncover yet another variety of what Paul Edwards (A vast machine: computer models, climate data, and the politics of global warming. MIT Press, Cambridge, MA, 2010) has described as “model-data symbiosis” in the practice of climate science.作者: 連系 時(shí)間: 2025-3-30 08:24 作者: 摻假 時(shí)間: 2025-3-30 14:26
Data, Meta Data and Pattern Data: How Franz Boas Mobilized Anthropometric Data, 1890 and Beyondaphical information on the individuals measured, which allowed him to flexibly classify data in a variety of ways. It is this richness in structure, or “pattern data,” that explains why the data from Boas’s anthropometric projects remain valuable for researchers from a variety of disciplines to this very day.作者: AMITY 時(shí)間: 2025-3-30 17:08
