scholarly journals Future opportunities and trends for e-infrastructures and life sciences: going beyond the grid to enable life science data analysis

2015 ◽  
Vol 6 ◽  
Author(s):  
Afonso M. S. Duarte ◽  
Fotis E. Psomopoulos ◽  
Christophe Blanchet ◽  
Alexandre M. J. J. Bonvin ◽  
Manuel Corpas ◽  
...  
Keyword(s):  
Data Analysis ◽  
Life Science ◽  
Life Sciences ◽  
Science Data

scholarly journals Review of Emotional Intelligence: A Preliminary Map Across Latin America

2019 ◽  
Vol 34 (7) ◽  
pp. 1271-1271
Author(s):  
H Patino-Carvajal ◽  
L Tibiriçá ◽  
Y Garcia ◽  
A Maresco ◽  
I Tourgeman
Keyword(s):  
Emotional Intelligence ◽  
Data Analysis ◽  
Latin American ◽  
Life Science ◽  
Life Sciences ◽  
Inclusion Criteria ◽  
Related Subject ◽  
The Mean ◽  
Latin American Countries ◽  
Total Life

Abstract Objective The purpose of this study was to investigate the prevalence of Emotional Intelligence (EI) research among 19 Latin American countries. Participants and Method Respective to each country, Total Life Science publications and Psychology publications were gathered from “UNESCO Science Report Towards 2030.” Population and GDP statistics pertaining to each country were derived from CIA Factbook. Mean education and percentage of GDP allocated for education were gathered from UNESCO Institute for Statistics. The databases SciELO and Redalyc were used to exhume the number of published Emotional Intelligence articles. The term “inteligencia emocional” was used. Findings were filtered to meet inclusion criteria: peer-reviewed, published between 2008-2018, corresponding to a Psychology related subject. Duplicate articles, those that did not contain the term “inteligencia emocional” in the abstract and articles that were not listed under the Psychology category were excluded. Results Data analysis of 19 countries from 2008-2014 revealed the mean number of Emotional Intelligence published articles to be 2.65 (SD = 5.54) articles per country - with a maximum of 22 and a minimum of 0. The percent of articles featuring EI in relation to Total Psychology articles published had a mean of 7% - with Minimum of 0% and Maximum of 60%. Bolivia has the highest percentage of articles on EI (60%), whereas Colombia the highest total number of articles published (n = 41). Population was significantly correlated with Total Articles Published and Total Psychology Articles Published. Conclusions Emotional Intelligence in Latin American countries is not widely investigated. Findings revealed 12 out of 19 Latin American countries had one or more publications related to Emotional Intelligence. While population was shown to be related to the number of articles published in Life Sciences and Psychology, it did not reveal a correlation with the publication of studies regarding EI. Furthermore, education and GDP were not related to the overall publication of articles.

scholarly journals Identifiers.org: Compact Identifier services in the cloud

2020 ◽  
Author(s):  
Manuel Bernal-Llinares ◽  
Javier Ferrer-Gómez ◽  
Nick Juty ◽  
Carole Goble ◽  
Sarala M Wimalaratne ◽  
...  
Keyword(s):  
Life Science ◽  
Life Sciences ◽  
High Availability ◽  
Third Party ◽  
Low Latency ◽  
Cloud Environment ◽  
Science Data ◽  
High Quality ◽  
Front End ◽  
Readable Text

Abstract Motivation Since its launch in 2010, Identifiers.org has become an important tool for the annotation and cross-referencing of Life Science data. In 2016, we established the Compact Identifier (CID) scheme (prefix: accession) to generate globally unique identifiers for data resources using their locally assigned accession identifiers. Since then, we have developed and improved services to support the growing need to create, reference and resolve CIDs, in systems ranging from human readable text to cloud-based e-infrastructures, by providing high availability and low-latency cloud-based services, backed by a high-quality, manually curated resource. Results We describe a set of services that can be used to construct and resolve CIDs in Life Sciences and beyond. We have developed a new front end for accessing the Identifiers.org registry data and APIs to simplify integration of Identifiers.org CID services with third-party applications. We have also deployed the new Identifiers.org infrastructure in a commercial cloud environment, bringing our services closer to the data. Availabilityand implementation https://identifiers.org.

scholarly journals BIO-STATISTICS TECHNIQUES

2021 ◽  
Author(s):  
Dr.Gurusharan Kaur ◽  
Dr. Rajinder Kaur ◽  
Dr. Namrata Tripathi
Keyword(s):  
Data Analysis ◽  
Environmental Science ◽  
Life Science ◽  
Life Sciences ◽  
Complex World ◽  
Basic Principles ◽  
Science Field ◽  
Present Complex ◽  
Research Problems ◽  
Available Information

An Introduction has been designed to serve as a text for students studying science subjects such as biotechnology, micro-biology,Pharmacy and environmental science. In recent years, biostatistics has been used widely for solving research problems in life sciences. As with most tools, biostatistics is not of much use unless the user understands its application and purpose. In order to perform efficiently in the present complex world, a researcher in the life science field ought to know enough about the basic principles of data analysis and has to be certain that all available information is used effectively to solve a given problem.

scholarly journals The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences

2019 ◽  
Author(s):  
Rachel Drysdale ◽  
Charles E. Cook ◽  
Robert Petryszak ◽  
Vivienne Baillie-Gerritsen ◽  
Mary Barlow ◽  
...  
Keyword(s):  
Life Science ◽  
Life Sciences ◽  
Health Sector ◽  
Biological Data ◽  
Supplementary Information ◽  
Science Data ◽  
Data Infrastructure ◽  
Data Resource ◽  
Core Data ◽  
The Core

AbstractMotivationLife science research in academia, industry, agriculture, and the health sector depends critically on free and open data resources. ELIXIR (www.elixir-europe.org), the European Research Infrastructure for life sciences data, has identified a set of Core Data Resources within Europe that are of most fundamental importance for the long-term preservation of biological data. We explore characteristics of their usage, impact and assured funding horizon to assess their value and importance as an infrastructure, to understand sustainability of the infrastructure, and to demonstrate a model for assessing Core Data Resources worldwide.ResultsThe nineteen resources currently designated ELIXIR Core Data Resources form a data infrastructure in Europe which is a subset of the worldwide open life science data infrastructure. We show that, from 2014 to 2018, data managed by the Core Data Resources more than tripled while staff numbers increased by less than a tenth. Additionally, support for the Core Data Resources is precarious: together they have assured funding for less than a third of current staff after four years.Our findings demonstrate the importance of the ELIXIR Core Data Resources as repositories for research data and knowledge, while also demonstrating the uncertain nature of the funding environment for this infrastructure. ELIXIR is working towards longer-term support for the Core Data Resources and, through the Global Biodata Coalition, aims to ensure support for the worldwide life science data resource infrastructure of which the ELIXIR Core Data Resources are a [email protected] informationSupplementary data are available at Bioinformatics online.

scholarly journals ISA API: An open platform for interoperable life science experimental metadata

2020 ◽  
Author(s):  
David Johnson ◽  
Keeva Cochrane ◽  
Robert P. Davey ◽  
Anthony Etuk ◽  
Alejandra Gonzalez-Beltran ◽  
...  
Keyword(s):  
Data Model ◽  
Life Science ◽  
Life Sciences ◽  
Common Data Model ◽  
Science Data ◽  
Software Suite ◽  
Early Adopters ◽  
Open Platform ◽  
Data Formats ◽  
Common Interface

AbstractBackgroundThe Investigation/Study/Assay (ISA) Metadata Framework is an established and widely used set of open-source community specifications and software tools for enabling discovery, exchange and publication of metadata from experiments in the life sciences. The original ISA software suite provided a set of user-facing Java tools for creating and manipulating the information structured in ISA-Tab – a now widely used tabular format. To make the ISA framework more accessible to machines and enable programmatic manipulation of experiment metadata, a JSON serialization ISA-JSON was developed.ResultsIn this work, we present the ISA API, a Python library for the creation, editing, parsing, and validating of ISA-Tab and ISA-JSON formats by using a common data model engineered as Python class objects. We describe the ISA API feature set, early adopters and its growing user community.ConclusionsThe ISA API provides users with rich programmatic metadata handling functionality to support automation, a common interface and an interoperable medium between the two ISA formats, as well as with other life science data formats required for depositing data in public databases.

scholarly journals Bridging Data Management and Knowledge Discovery in the Life Sciences

2008 ◽  
Vol 2 (1) ◽  
pp. 28-36 ◽  
Author(s):  
Karl Kugler ◽  
Maria Mercedes Tejada ◽  
Christian Baumgartner ◽  
Bernhard Tilg ◽  
Armin Graber ◽  
...  
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Data Warehouse ◽  
Life Science ◽  
Life Sciences ◽  
Relevant Information ◽  
Biomedical Data ◽  
Science Data ◽  
New Knowledge ◽  
Discovery Algorithms

In this work we present an application for integrating and analyzing life science data using a biomedical data warehouse system and tools developed in-house enabling knowledge discovery tasks. Knowledge discovery is known as a process where different steps have to be coupled in order to solve a specified question. In order to create such a combination of steps, a data miner using our in-house developed knowledge discovery tool KD3 is able to assemble functional objects to a data mining workflow. The generated workflows can easily be used for ulterior purposes by only adding new data and parameterizing the functional objects in the process. Workflows guide the performance of data integration and aggregation tasks, which were defined and implemented using a public available open source tool. To prove the concept of our application, intelligent query models were designed and tested for the identification of genotype-phenotype correlations in Marfan Syndrome. It could be shown that by using our application, a data miner can easily develop new knowledge discovery algorithms that may later be used to retrieve medical relevant information by clinical researchers.

scholarly journals The Dutch Techcentre for Life Sciences: Enabling data-intensive life science research in the Netherlands

F1000Research ◽  
2016 ◽  
Vol 4 ◽  
pp. 33 ◽  
Author(s):  
Lars Eijssen ◽  
Chris T. Evelo ◽  
Ruben Kok ◽  
Barend Mons ◽  
Rob Hooft ◽  
...  
Keyword(s):  
The Netherlands ◽  
Life Science ◽  
Life Sciences ◽  
Academic Research ◽  
Science Research ◽  
Science Data ◽  
Data Intensive ◽  
For Profit ◽  
Data Stewardship ◽  
Research Organisations

We describe the Data programme of the Dutch Techcentre for Life Sciences (DTL, www.dtls.nl). DTL is a new national organisation in scientific research that facilitates life scientists with technologies and technological expertise in an era where new projects often are data-intensive, multi-disciplinary, and multi-site. It is run as a lean not-for-profit organisation with research organisations (both academic and industrial) as paying members. The small staff of the organisation undertakes a variety of tasks that are necessary to perform or support modern academic research, but that are not easily undertaken in a purely academic setting. DTL Data takes care of such tasks related to data stewardship, facilitating exchange of knowledge and expertise, and brokering access to e-infrastructure. DTL also represents the Netherlands in ELIXIR, the European infrastructure for life science data. The organisation is still being fine-tuned and this will continue over time, as it is crucial for this kind of organisation to adapt to a constantly changing environment. However, already being underway for several years, our experiences can benefit researchers in other fields or other countries setting up similar initiatives.

scholarly journals ISA API: An open platform for interoperable life science experimental metadata

GigaScience ◽  
2021 ◽  
Vol 10 (9) ◽  
Author(s):  
David Johnson ◽  
Dominique Batista ◽  
Keeva Cochrane ◽  
Robert P Davey ◽  
Anthony Etuk ◽  
...  
Keyword(s):  
Data Model ◽  
Life Science ◽  
Life Sciences ◽  
Common Data Model ◽  
Science Data ◽  
Software Suite ◽  
Early Adopters ◽  
Open Platform ◽  
Data Formats ◽  
Common Interface

Abstract Background The Investigation/Study/Assay (ISA) Metadata Framework is an established and widely used set of open source community specifications and software tools for enabling discovery, exchange, and publication of metadata from experiments in the life sciences. The original ISA software suite provided a set of user-facing Java tools for creating and manipulating the information structured in ISA-Tab—a now widely used tabular format. To make the ISA framework more accessible to machines and enable programmatic manipulation of experiment metadata, the JSON serialization ISA-JSON was developed. Results In this work, we present the ISA API, a Python library for the creation, editing, parsing, and validating of ISA-Tab and ISA-JSON formats by using a common data model engineered as Python object classes. We describe the ISA API feature set, early adopters, and its growing user community. Conclusions The ISA API provides users with rich programmatic metadata-handling functionality to support automation, a common interface, and an interoperable medium between the 2 ISA formats, as well as with other life science data formats required for depositing data in public databases.

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