scholarly journals Data sharing and interoperability from multi-source long term observations: challenges and opportunities in marine biology

2018 ◽  
Author(s):  
Mara Sangiovanni ◽  
Roberta Piredda ◽  
Marco Miralto ◽  
Michael Tangherlini ◽  
Maria Luisa Chiusano
Keyword(s):  
Marine Biology ◽  
Data Access ◽  
Data Retrieval ◽  
Ecosystem Research ◽  
Data Formats ◽  
Challenges And Opportunities ◽  
Different Sources ◽  
Anton Dohrn ◽  
Stazione Zoologica

Long-term observatories are widely used in marine sciences to monitor marine ecosystems and investigate their evolution. Recently, data from innovative technologies as well as ‘omics-based' approaches is being collected alongside physical, biogeochemical and taxonomic information. Their integration represents a challenging opportunity, pushing for suitable computational approaches to for data retrieval, storage, interoperability, reusability and sharing. Several initiatives are addressing these issues, suggesting the most appropriate and sensitive strategies and protocols. Ensuring interoperability among different sources and providing seamless data access is essential when designing tools to store and share the collected information.Here we present our effort in the development of web-accessible resources for Long-Term Ecosystem Research (LTER), taking into account available protocols and approaching appropriate software solutions for: i) collecting and integrating real-time environmental and biological observations with -omics data; ii) exploiting international established data formats and protocols to expose through RESTful APIs the collected data; iii) accessing the collections through an interactive, web-accessible resource to permit aggregated views.The aim of this effort is to reinforce the leadership of the Stazione Zoologica “Anton Dohrn” as a Mediterranean Sea marine observatory, and to be ready for the next era challenges in marine biology.

scholarly journals Data sharing and interoperability from multi-source long term observations: challenges and opportunities in marine biology

2018 ◽  
Author(s):  
Mara Sangiovanni ◽  
Roberta Piredda ◽  
Marco Miralto ◽  
Michael Tangherlini ◽  
Maria Luisa Chiusano
Keyword(s):  
Marine Biology ◽  
Data Access ◽  
Data Retrieval ◽  
Ecosystem Research ◽  
Data Formats ◽  
Challenges And Opportunities ◽  
Different Sources ◽  
Anton Dohrn ◽  
Stazione Zoologica

Long-term observatories are widely used in marine sciences to monitor marine ecosystems and investigate their evolution. Recently, data from innovative technologies as well as ‘omics-based' approaches is being collected alongside physical, biogeochemical and taxonomic information. Their integration represents a challenging opportunity, pushing for suitable computational approaches to for data retrieval, storage, interoperability, reusability and sharing. Several initiatives are addressing these issues, suggesting the most appropriate and sensitive strategies and protocols. Ensuring interoperability among different sources and providing seamless data access is essential when designing tools to store and share the collected information.Here we present our effort in the development of web-accessible resources for Long-Term Ecosystem Research (LTER), taking into account available protocols and approaching appropriate software solutions for: i) collecting and integrating real-time environmental and biological observations with -omics data; ii) exploiting international established data formats and protocols to expose through RESTful APIs the collected data; iii) accessing the collections through an interactive, web-accessible resource to permit aggregated views.The aim of this effort is to reinforce the leadership of the Stazione Zoologica “Anton Dohrn” as a Mediterranean Sea marine observatory, and to be ready for the next era challenges in marine biology.

Solutions for providing web-accessible, semi-standardised ecosystem research site information

2020 ◽  
Author(s):  
Christoph Wohner ◽  
Johannes Peterseil ◽  
Tomáš Kliment ◽  
Doron Goldfarb
Keyword(s):  
Information Management System ◽  
Third Party ◽  
Data Format ◽  
Ecosystem Research ◽  
Data Formats ◽  
Research Infrastructures ◽  
Low Threshold ◽  
Rest Api ◽  
Research Domains

<p>There are a number of systems dedicated to the storage of information about ecosystem research sites, often used for the management of such facilities within research networks or research infrastructures. If such systems provide interfaces for querying this information, these interfaces and especially their data formats may vary greatly with no established data format standard to follow.</p><p>DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry; https://deims.org) is one such service that allows registering and discovering long-term ecosystem research sites, along with the data gathered at those sites and networks associated with them. We present our approach to make the hosted information openly available via a REST-API. While this allows flexibility in the way information is structured, it also follows interoperability standards and specifications that provide clear rules on how to parse this information.</p><p>The REST-API follows the OpenAPI 3.0 specification, including the usage of JSON schemas for describing the exact structure of available records. In addition, DEIMS-SDR also issues persistent, unique and resolvable identifiers for sites independent of the affiliation with research infrastructures or networks.</p><p>The flexible design of the DEIMS-SDR data model and the underlying REST-API based approach provide a low threshold for incorporating information from other research domains within the platform itself as well as integrating its exposed metadata with third party information through external means.</p>

Facilitating global access to a high-volume flagship climate model dataset: the MPI-M Grand Ensemble experience

2020 ◽  
Author(s):  
Karsten Peters ◽  
Michael Botzet ◽  
Veronika Gayler ◽  
Estefania Montoya Duque ◽  
Nicola Maher ◽  
...  
Keyword(s):  
Climate Model ◽  
Data Access ◽  
Data Retrieval ◽  
High Volume ◽  
Current Status ◽  
Published Data ◽  
Post Processing ◽  
Scientific Publications ◽  
Global Access

<p>In a collaborative effort, data management specialists at the German Climate Computing Centre (Deutsches Klimarechenzentrum, DKRZ) and researchers at the Max Planck Institute for Meteorology (MPI-M) are joining forces to achieve long-term and effective global availability of a high-volume flagship climate model dataset: the MPI-M Grand Ensemble (MPI-GE, Maher et al. 2019<sup>1</sup>), which is the largest ensemble of a single state-of-the-art comprehensive climate model (MPI-ESM1.1-LR) currently available. The MPI-GE has formed the basis for a number of scientific publications over the past 4 years<sup>2</sup>. However, the wealth of data available from the MPI-GE simulations was essentially invisible to potential data users outside of DKRZ and MPI-M.</p><p>In this contribution, we showcase the adopted strategy, experiences made and the current status of FAIR long-term preservation of the MPI-GE dataset in the World Data Center for Climate (WDCC), hosted at DKRZ. The importance of synergistic cooperation between domain-expert data providers and knowledgeable repository staff will be highlighted.</p><p>Recognising the demand for MPI-GE data access outside of its native environment, the development of a strategy to make MPI-GE data globally available began in mid 2018. A two-stage dissemination/preservation process was decided upon.</p><p>In a first step, MPI-GE data would be published and made globally available via the Earth System Grid Federation (ESGF) infrastructure. Second, the ESGF-published data would be transferred to DKRZ’s long-term and FAIR archiving service WDCC. Datasets preserved in the WDCC can be made accessible via ESGF - global access via the established system would thus still be ensured.</p><p>To date, the first stage of the above process is completed and data are available via the ESGF<sup>3</sup>. Data published in the ESGF has to comply with strict data standards in order to ensure efficient data retrieval and interoperability of the dataset. Standardization of the MPI-GE data required selection of an applicable data standard (CMIP5 in this case) and an appropriate variable subset, adaptation and application of fit-for-purpose DKRZ-supplied post-processing software and of course the post-processing of the data itself. All steps required dedicated communication and collaboration between DKRZ and MPI-M staff and required significant time resources. Currently, some 87 TB, comprised of more than 55 000 records, of standardized MPI-GE data are available for search and download from the ESGF. About three to four thousand records with an accumulated volume of several hundred GB are downloaded by ESGF users each month.</p><p>The long-term archival of the standardized MPI-GE data using DKRZ’s WDCC-service is planned to begin within the first half of 2020. All preparatory work done so far, especially the data standardization, significantly reduces the effort and resources required for achieving FAIR MPI-GE data preservation in the WDCC.</p><p><sup>1</sup>Maher, N. et al. ( 2019). J. Adv. Model Earth Sy., 11, 2050– 2069. https://doi.org/10.1029/2019MS001639</p><p><sup>2</sup>http://www.mpimet.mpg.de/en/grand-ensemble/publications/</p><p><sup>3</sup>https://esgf-data.dkrz.de/projects/mpi-ge/</p><p><br><br></p>

scholarly journals Expansion of Policy Domain of Sustainable Consumption and Production (SCP): Challenges and Opportunities for Policy Design

2021 ◽  
Vol 13 (12) ◽  
pp. 6763
Author(s):  
Yasuhiko Hotta ◽  
Tomohiro Tasaki ◽  
Ryu Koide
Keyword(s):  
Policy Design ◽  
Sustainable Consumption ◽  
Pollution Prevention ◽  
Ecological Modernization ◽  
Policy Debate ◽  
Policy Domain ◽  
Challenges And Opportunities ◽  
Sustainable Consumption And Production ◽  
Transition Policy

Since 2015, the international policy community has started to agree on international agreements with ambitious middle-term and long-term goals, highly relevant to sustainable consumption and production (SCP) such as those seen in the Paris Agreement, SDGs, and the plastic-related agreements at the G7 and G20 processes. Along with this trend, there has been growing attention given to socio-technical system change or “transition”. Policy debate is putting more focus on the need to change consumption and production patterns and deal with various ecological consequences within planetary boundaries such as decarbonization, absolute reduction in material throughput, or creation of a plastic-free society. This paper examines the expansion of the policy domain of SCP in three phases; SCP focusing on pollution control and cleaner production (SCP 1.0), SCP from the perspective of product lifecycle (SCP 2.0), and SCP focusing on systematic changes in socio-technical systems driving consumption and production (SCP 3.0). The potential impact of a wider SCP policy domain can be comparable to the historical shift in discourse related to ecological modernization theory from pollution prevention to efficiency. This emerging trend corresponds to the need for a fresh approach to policy design which can facilitate transition to sustainability.

scholarly journals The Impact of COVID-19 on Hospitality Industry in Greece and Its Treasured Santorini Island

2021 ◽  
Vol 13 (14) ◽  
pp. 7906
Author(s):  
Nikola Medová ◽  
Lucie Macková ◽  
Jaromir Harmacek
Keyword(s):  
Social Impact ◽  
Tourism Sector ◽  
Challenges And Opportunities ◽  
Multiple Variables ◽  
Hospitality Sector ◽  
Tourism And Hospitality ◽  
The Impact ◽  
Further Development

This paper focuses on the dynamic of the recent upheaval in the tourism and hospitality sector due to the COVID-19 epidemic in Greece and Santorini island. It uses the case study of a country one-fourth of whose GDP consists of tourism. We compare the available statistical data showing the change in variables in the previous years with 2020 and look into the new challenges and opportunities posed by the drop in the numbers of visitors and flights. We focus mainly on the economic and social impact on the destination and possible future scenarios for further development in the area. Data show a significant effect of the pandemic on multiple variables, such as the long-term trend of the importance of tourism sector in GDP in Greece, the number of flights and visitors to Greece and Santorini island, and the contribution of tourism and travel to GDP. Based on the available data, we also construct three foresight scenarios that describe the possible futures for Santorini island in terms of the pandemic evolution. These scenarios may help various stakeholders and policymakers to be better prepared for different developments that may appear.

Short- and Long-Term Effects of Hypocaloric Diets Containing Proteins of Different Sources on Plasma Lipids and Apoproteins of Obese Subjects

1988 ◽  
Vol 32 (4) ◽  
pp. 206-214 ◽  
Author(s):  
Ottavio Bosello ◽  
Luciano Cominacini ◽  
Isabella Zocca ◽  
Ulisse Garbin ◽  
Roberta Compri ◽  
...  
Keyword(s):  
Plasma Lipids ◽  
Long Term Effects ◽  
Obese Subjects ◽  
Short And Long Term ◽  
Different Sources

Central Food Retail: Business Expansion and Brand Architecture Strategy

2018 ◽  
Vol 22 (01) ◽  
pp. 199-218
Author(s):  
Piya Ngamcharoenmongkol
Keyword(s):  
Food Retail ◽  
Brand Architecture ◽  
Company Limited ◽  
Retail Business ◽  
Challenges And Opportunities ◽  
Market Leader ◽  
Central Food ◽  
Retail Company ◽  
Retail Grocery

The retail store market in Thailand continued to grow with more intense competition from key players expanding their operations across retail grocery market segments. Central Food Retail Company Limited (CFR) was the market leader in the supermarket segment targeting the middle to high income groups. As part of the company’s long-term strategy, CFR planned to expand the business into other retail sectors by launching new store formats to capture other customer segments, especially middle- and lowincome groups. These customer segments had been largely served by operators in the hypermarket segment. The challenges and opportunities that CFR faced and the decisions on brand extension strategy and brand architecture strategy were discussed.

scholarly journals A nonlinear relationship between prediction errors and learning rates in human reinforcement learning

2019 ◽  
Author(s):  
Erdem Pulcu
Keyword(s):  
Reinforcement Learning ◽  
Nonlinear Relationship ◽  
Prediction Errors ◽  
Learning Rates ◽  
The Face ◽  
In The Wild ◽  
Actual Outcome ◽  
Update Rules ◽  
Different Sources

AbstractWe are living in a dynamic world in which stochastic relationships between cues and outcome events create different sources of uncertainty1 (e.g. the fact that not all grey clouds bring rain). Living in an uncertain world continuously probes learning systems in the brain, guiding agents to make better decisions. This is a type of value-based decision-making which is very important for survival in the wild and long-term evolutionary fitness. Consequently, reinforcement learning (RL) models describing cognitive/computational processes underlying learning-based adaptations have been pivotal in behavioural2,3 and neural sciences4–6, as well as machine learning7,8. This paper demonstrates the suitability of novel update rules for RL, based on a nonlinear relationship between prediction errors (i.e. difference between the agent’s expectation and the actual outcome) and learning rates (i.e. a coefficient with which agents update their beliefs about the environment), that can account for learning-based adaptations in the face of environmental uncertainty. These models illustrate how learners can flexibly adapt to dynamically changing environments.

Sign in / Sign up

Export Citation Format

Share Document