Enriching Agronomic Experiments with Data Provenance

2017 ◽  
Vol 8 (3) ◽  
pp. 21-38
Author(s):  
Sergio Manuel Serra da Cruz ◽  
Jose Antonio Pires do Nascimento
Keyword(s):  
Systematic Error ◽  
Statistical Data ◽  
Scientific Workflow ◽  
Computational Experiments ◽  
Data Provenance ◽  
Computational Approaches ◽  
Integration Platform ◽  
Workflow System ◽  
Scientific Experiments ◽  
Different Types

Reproducibility is a major feature of Science. Even agronomic research of exemplary quality may have irreproducible empirical findings because of random or systematic error. The ability to reproduce agronomic experiments based on statistical data and legacy scripts are not easily achieved. We propose RFlow, a tool that aid researchers to manage, share, and enact the scientific experiments that encapsulate legacy R scripts. RFlow transparently captures provenance of scripts and endows experiments reproducibility. Unlike existing computational approaches, RFlow is non-intrusive, does not require users to change their working way, it wraps agronomic experiments in a scientific workflow system. Our computational experiments show that the tool can collect different types of provenance metadata of real experiments and enrich agronomic data with provenance metadata. This study shows the potential of RFlow to serve as the primary integration platform for legacy R scripts, with implications for other data- and compute-intensive agronomic projects.

Data Provenance in Scientific Workflows

2011 ◽  
pp. 46-59
Author(s):  
Khalid Belhajjame ◽  
Paolo Missier ◽  
Carole Goble
Keyword(s):  
Real World ◽  
Scientific Workflow ◽  
Scientific Workflows ◽  
Data Provenance ◽  
Workflow Systems ◽  
Scientific Experiments

Data provenance is key to understanding and interpreting the results of scientific experiments. This chapter introduces and characterises data provenance in scientific workflows using illustrative examples taken from real-world workflows. The characterisation takes the form of a taxonomy that is used for comparing and analysing provenance capabilities supplied by existing scientific workflow systems.

Market of Insurance in Russia: Major Tendencies and Problems of Development

2006 ◽  
pp. 115-127
Author(s):  
T Natkhov
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Medium Term ◽  
Insurance Sector ◽  
Different Types ◽  
Basic Characteristics

The article considers recent tendencies in the development of the market of insurance in Russia. On the basis of statistical data analysis the most urgent problems of the insurance sector are formulated. Basic characteristics of different types of insurance are revealed, and measures on perfection of the insurance institution in the medium term are proposed.

AGRICULTURAL PERIODICALS OF RUSSIA IN THE EARLY XX CENTURY

2019 ◽  
Keyword(s):  
Statistical Data ◽  
Soil Science ◽  
Agriculture Soil ◽  
Agricultural Knowledge ◽  
Horse Breeding ◽  
Different Types ◽  
Fruit Growing ◽  
Advanced Knowledge ◽  
The Cost ◽  
The Upper Volga Region

The article deals with the distribution of agricultural periodicals on the territory of the Russian Em-pire in the early twentieth century. Before that there were practically no publications on the pages of sci-entific magazines. Great emphasis is placed on the analysis of agricultural magazines published before 1917 in the Upper Volga region, namely in Vladimir, Kostroma, Tver and Yaroslavl provinces. Thanks to existed in pre-revolutionary Russian periodicals on agricultural subjects advanced knowledge of agron-omy, agriculture, soil science, horticulture, fruit growing, vegetable growing, winemaking, viticulture, 135 tobacco growing, livestock, poultry, bee-keeping, veterinary medicine, forestry, and hunting, land man-agement, irrigation, horse breeding were promoted. On the basis of statistical data, office documentation and other published sources, the author draws conclusions about the degree of accessibility of agricul-tural periodicals for the population, including the peasantry. Availability of agricultural periodicals largely depended on its price, so the author studied the situation with the cost of the annual subscription fee of these publications. The article investigates the issues of periodicity of agricultural magazines and newspapers, the exact number of such publications, as well as their subject matter. Existence duration of different types of periodicals is analyzed, the main publishers of magazines and newspapers, places of their publication are revealed. A prominent place is given to the publishing activities of agricultural pub-lic organizations and zemstvo self-government bodies. It is concluded that natural process of agricultural knowledge distribution among the population of Russia through publications on the pages of periodicals was disrupted by revolutionary events of 1917.

Process-oriented ecological modeling approach and scientific workflow system

2014 ◽  
Vol 22 (3) ◽  
pp. 277
Author(s):  
Qiao Huijie ◽  
Lin Congtian ◽  
Wang Jiangning ◽  
Ji Liqiang
Keyword(s):  
Ecological Modeling ◽  
Scientific Workflow ◽  
Modeling Approach ◽  
Workflow System ◽  
Process Oriented

Data Provenance in a Scientific Workflow Service Framework Integrated with Object Deputy Database

2009 ◽  
Vol 31 (5) ◽  
pp. 721-732 ◽  
Author(s):  
Li-Wei WANG ◽  
Ze-Qian HUANG ◽  
Min LUO ◽  
Zhi-Yong PENG
Keyword(s):  
Scientific Workflow ◽  
Data Provenance ◽  
Service Framework

scholarly journals Geoinformation analysis of spatial location of flood susceptible settlements in Yakutia

2021 ◽  
pp. 16-23
Author(s):  
Viktoriia Viktorovna Filippova
Keyword(s):  
Socioeconomic Development ◽  
Statistical Data ◽  
Spatial Location ◽  
Lena River ◽  
Different Types ◽  
Archival Documents ◽  
Analytical Processing ◽  
The Subject ◽  
The Republic ◽  
Kolyma River

The subject of this research is the structure and content of the developed by the author Geographic Information System (GIS) “Flood susceptible settlements in the territory of Sakha Republic (Yakutia)”. The object of this research is 128 floodable settlements included in the list of the established flood zones in the Sakha (Yakutia), their analytical processing and cartographic interpretation. The sources for the creation of GIS contain published sources, statistical data, passports of socioeconomic development of the municipalities, archival documents, and information provided by the departmental organizations. The author conducted different types of geoinformation analysis (analysis of the geography of settlements by river basins, dynamics of the number of floods in the settlements (for the period 1929 – 2017), density of floodable settlements) in ArcGIS. It is determined that most of the settlements susceptible to flood are located in the middle reach  the Lena River and along its major tributaries – Aldan, Amga, Olekma; in the northeast of Yakutia, floodable settlements are mainly located in the upper reaches of the rivers Yana, Indigirka, Alazeya, as well as in the lower and middle reaches of the Kolyma River and its tributaries. The author notes that in some settlements, the number of floods over the period from 1930 to 2017 amounted to 30-40. It is also indicated that highest density of the settlements susceptible to flood is observed in Central Yakutia in the places of the highest concentration of population in the republic. The developed GIS can be used for adopting recommendations to protection the settlements from flooding.

scholarly journals Application Scenarios Using Serpens Suite for Kepler Scientific Workflow System

2012 ◽  
Vol 9 ◽  
pp. 1604-1613 ◽  
Author(s):  
Marcin Płóciennik ◽  
Michał Owsiak ◽  
Tomasz Zok ◽  
Bartek Palak ◽  
Antonio Gómez-Iglesias ◽  
...  
Keyword(s):  
Scientific Workflow ◽  
Workflow System
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