scholarly journals Soil legacy data rescue via GlobalSoilMap and other international and national initiatives

GeoResJ ◽  
2017 ◽  
Vol 14 ◽  
pp. 1-19 ◽  
Author(s):  
Dominique Arrouays ◽  
Johan G.B. Leenaars ◽  
Anne C. Richer-de-Forges ◽  
Kabindra Adhikari ◽  
Cristiano Ballabio ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Poulamee Chakraborty ◽  
Bhabani S. Das ◽  
Hitesh B. Vasava ◽  
Niranjan Panigrahi ◽  
Priyabrata Santra

Abstract Pedotransfer function (PTF) approach is a convenient way for estimating difficult-to-measure soil properties from basic soil data. Typically, PTFs are developed using a large number of samples collected from small (regional) areas for training and testing a predictive model. National soil legacy databases offer an opportunity to provide soil data for developing PTFs although legacy data are sparsely distributed covering large areas. Here, we examined the Indian soil legacy (ISL) database to select a comprehensive training dataset for estimating cation exchange capacity (CEC) as a test case in the PTF approach. Geostatistical and correlation analyses showed that legacy data entail diverse spatial and correlation structure needed in building robust PTFs. Through non-linear correlation measures and intelligent predictive algorithms, we developed a methodology to extract an efficient training dataset from the ISL data for estimating CEC with high prediction accuracy. The selected training data had comparable spatial variation and nonlinearity in parameters for training and test datasets. Thus, we identified specific indicators for constructing robust PTFs from legacy data. Our results open a new avenue to use large volume of existing soil legacy data for developing region-specific PTFs without the need for collecting new soil data.


Geoderma ◽  
2020 ◽  
Vol 375 ◽  
pp. 114452
Author(s):  
Trevan Flynn ◽  
Andrei Rozanov ◽  
Cathy Clarke

2016 ◽  
Vol 12 (4) ◽  
pp. 1-23
Author(s):  
Andrew J. Mcpherson ◽  
Vijay Nagarajan ◽  
Susmit Sarkar ◽  
Marcelo Cintra
Keyword(s):  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  

Abstract Countries have a wide range of lifestyles, environmental exposures and different health(care) systems providing a large natural experiment to be investigated. Through pan-European comparative studies, underlying determinants of population health can be explored and provide rich new insights into the dynamics of population health and care such as the safety, quality, effectiveness and costs of interventions. Additionally, in the big data era, secondary use of data has become one of the major cornerstones of digital transformation for health systems improvement. Several countries are reviewing governance models and regulatory framework for data reuse. Precision medicine and public health intelligence share the same population-based approach, as such, aligning secondary use of data initiatives will increase cost-efficiency of the data conversion value chain by ensuring that different stakeholders needs are accounted for since the beginning. At EU level, the European Commission has been raising awareness of the need to create adequate data ecosystems for innovative use of big data for health, specially ensuring responsible development and deployment of data science and artificial intelligence technologies in the medical and public health sectors. To this end, the Joint Action on Health Information (InfAct) is setting up the Distributed Infrastructure on Population Health (DIPoH). DIPoH provides a framework for international and multi-sectoral collaborations in health information. More specifically, DIPoH facilitates the sharing of research methods, data and results through participation of countries and already existing research networks. DIPoH's efforts include harmonization and interoperability, strengthening of the research capacity in MSs and providing European and worldwide perspectives to national data. In order to be embedded in the health information landscape, DIPoH aims to interact with existing (inter)national initiatives to identify common interfaces, to avoid duplication of the work and establish a sustainable long-term health information research infrastructure. In this workshop, InfAct lays down DIPoH's core elements in coherence with national and European initiatives and actors i.e. To-Reach, eHAction, the French Health Data Hub and ECHO. Pitch presentations on DIPoH and its national nodes will set the scene. In the format of a round table, possible collaborations with existing initiatives at (inter)national level will be debated with the audience. Synergies will be sought, reflections on community needs will be made and expectations on services will be discussed. The workshop will increase the knowledge of delegates around the latest health information infrastructure and initiatives that strive for better public health and health systems in countries. The workshop also serves as a capacity building activity to promote cooperation between initiatives and actors in the field. Key messages DIPoH an infrastructure aiming to interact with existing (inter)national initiatives to identify common interfaces, avoid duplication and enable a long-term health information research infrastructure. National nodes can improve coordination, communication and cooperation between health information stakeholders in a country, potentially reducing overlap and duplication of research and field-work.


2020 ◽  
Vol 115 ◽  
pp. 329-378
Author(s):  
Lisa C. Nevett ◽  
E. Bettina Tsigarida ◽  
Zosia H. Archibald ◽  
David L. Stone ◽  
Bradley A. Ault ◽  
...  

This article argues that a holistic approach to documenting and understanding the physical evidence for individual cities would enhance our ability to address major questions about urbanisation, urbanism, cultural identities and economic processes. At the same time we suggest that providing more comprehensive data-sets concerning Greek cities would represent an important contribution to cross-cultural studies of urban development and urbanism, which have often overlooked relevant evidence from Classical Greece. As an example of the approach we are advocating, we offer detailed discussion of data from the Archaic and Classical city of Olynthos, in the Halkidiki. Six seasons of fieldwork here by the Olynthos Project, together with legacy data from earlier projects by the American School of Classical Studies at Athens and by the Greek Archaeological Service, combine to make this one of the best-documented urban centres surviving from the Greek world. We suggest that the material from the site offers the potential to build up a detailed ‘urban profile’, consisting of an overview of the early development of the community as well as an in-depth picture of the organisation of the Classical settlement. Some aspects of the urban infrastructure can also be quantified, allowing a new assessment of (for example) its demography. This article offers a sample of the kinds of data available and the sorts of questions that can be addressed in constructing such a profile, based on a brief summary of the interim results of fieldwork and data analysis carried out by the Olynthos Project, with a focus on research undertaken during the 2017, 2018 and 2019 seasons.


2009 ◽  
Vol 174 (1) ◽  
pp. 029-034 ◽  
Author(s):  
Kim Hamlett-Berry ◽  
John Davison ◽  
Daniel R. Kivlahan ◽  
Marybeth H. Matthews ◽  
Jane E. Hendrickson ◽  
...  

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