scholarly journals Managing Hypothesis of Scientific Experiments with PhenoManager

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Leonardo Ramos ◽  
Fabio Porto ◽  
Daniel De Oliveira
Keyword(s):  
Scientific Method ◽  
Computational Models ◽  
Scientific Research ◽  
Research Process ◽  
Scientific Workflow ◽  
Scientific Workflows ◽  
Scientific Experiment ◽  
Geographically Dispersed ◽  
Scientific Experiments ◽  
Scientific Project

Scientific research based on computer simulations is complex since it may involve managing the enormous volumes of data and metadata produced during the life cycle of a scientific experiment, from the formulation of hypotheses to its final evaluation. This wealth of data needs to be structured and managed in a way that makes sense to scientists so that relevant knowledge can be extracted to contribute to the scientific research process. In addition, when it comes to the scope of the scientific project as a whole, it may be associated with several different scientific experiments, which in turn may require executions of different scientific workflows, which makes the task rather arduous. All of this can become even more difficult if we consider that the project tasks must be associated with the execution of such simulations (which may take hours or even days), that the hypotheses of a phenomenon need validation and replication, and that the project team may be geographically dispersed. This article presents an approach called PhenoManager that aims at helping scientists managing their scientific projects and the cycle of the scientific method as a whole. PhenoManager can assist the scientist in structuring, validating, and reproducing hypotheses of a phenomenon through configurable computational models in the approach. For the evaluation of this article was used SciPhy, a scientific workflow in the field of bioinformatics, concluding that the proposed approach brings gains without considerable performance losses.

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.

scholarly journals The PBase Scientific Workflow Provenance Repository

2014 ◽  
Vol 9 (2) ◽  
pp. 28-38 ◽  
Author(s):  
Víctor Cuevas-Vicenttín ◽  
Parisa Kianmajd ◽  
Bertram Ludäscher ◽  
Paolo Missier ◽  
Fernando Chirigati ◽  
...  
Keyword(s):  
Scientific Workflow ◽  
Scientific Workflows ◽  
Data Reuse ◽  
Data Intensive ◽  
Research Collaborations ◽  
Provenance Data ◽  
Scientific Experiments ◽  
History Of ◽  
Scientific Results ◽  
User Friendly

Scientific workflows and their supporting systems are becoming increasingly popular for compute-intensive and data-intensive scientific experiments. The advantages scientific workflows offer include rapid and easy workflow design, software and data reuse, scalable execution, sharing and collaboration, and other advantages that altogether facilitate “reproducible science”. In this context, provenance – information about the origin, context, derivation, ownership, or history of some artifact – plays a key role, since scientists are interested in examining and auditing the results of scientific experiments. However, in order to perform such analyses on scientific results as part of extended research collaborations, an adequate environment and tools are required. Concretely, the need arises for a repository that will facilitate the sharing of scientific workflows and their associated execution traces in an interoperable manner, also enabling querying and visualization. Furthermore, such functionality should be supported while taking performance and scalability into account. With this purpose in mind, we introduce PBase: a scientific workflow provenance repository implementing the ProvONE proposed standard, which extends the emerging W3C PROV standard for provenance data with workflow specific concepts. PBase is built on the Neo4j graph database, thus offering capabilities such as declarative and efficient querying. Our experiences demonstrate the power gained by supporting various types of queries for provenance data. In addition, PBase is equipped with a user friendly interface tailored for the visualization of scientific workflow provenance data, making the specification of queries and the interpretation of their results easier and more effective.

scholarly journals The visit of Comenius to London in 1641-1642 and its bearing on the origins of the Royal Society

1940 ◽  
Vol 3 (1) ◽  
pp. 159-160 ◽  
Keyword(s):  
Royal Society ◽  
Scientific Method ◽  
Scientific Research ◽  
Great Society ◽  
Invisible College ◽  
Oxford University ◽  
Important Stage ◽  
Universal Language ◽  
John Wilkins ◽  
The Invisible

Miss Dorothy Stimson, Dean of Groucher College, U.S.A., in an article in Isis for 1 September 1935, tried to traverse the view stated in the Introduction to my Comenius in England (Oxford University Press (1932)), pp. 6-7, that the visit of Comenius (Komensky) to London in 1641-1642 marked an important stage in the development in England of the idea of a great society for scientific research which resulted in the organization of the informal ‘Invisible College’ by Theodore Haak and others in 1645, and prepared the way for the foundation of the Royal Society in 1662. She was however unable to explain away the fact that Theodore Haak, who was one of the most active supporters of Komensky’s plan for a Scientific College in 1641, was in 1645 the virtual founder of the informal ‘Invisible College,’ the precursor of the Royal Society. Miss Stimson stresses the contrast between the universal speculative plan of Comenius as outlined in his Via Lucis (1642), and the empirical and specialized activities of the Invisible College. Miss Stimson however has completely overlooked the fact that John Wilkins (1614-1672), Warden of Wadham College, Oxford, whom she rightly regards as one of the most active members of the Invisible College, held views very similar to those of Comenius on scientific method and on the desirability of a universal language.

scholarly journals Monitoring of Grid Scientific Workflows

2008 ◽  
Vol 16 (2-3) ◽  
pp. 205-216
Author(s):  
Bartosz Balis ◽  
Marian Bubak ◽  
Bartłomiej Łabno
Keyword(s):  
Real Life ◽  
Scientific Workflow ◽  
Point Of View ◽  
Scientific Workflows ◽  
Monitoring Data ◽  
Monitoring Point ◽  
Loosely Coupled ◽  
Provenance Data ◽  
On Line ◽  
Monitoring Architecture

Scientific workflows are a means of conducting in silico experiments in modern computing infrastructures for e-Science, often built on top of Grids. Monitoring of Grid scientific workflows is essential not only for performance analysis but also to collect provenance data and gather feedback useful in future decisions, e.g., related to optimization of resource usage. In this paper, basic problems related to monitoring of Grid scientific workflows are discussed. Being highly distributed, loosely coupled in space and time, heterogeneous, and heavily using legacy codes, workflows are exceptionally challenging from the monitoring point of view. We propose a Grid monitoring architecture for scientific workflows. Monitoring data correlation problem is described and an algorithm for on-line distributed collection of monitoring data is proposed. We demonstrate a prototype implementation of the proposed workflow monitoring architecture, the GEMINI monitoring system, and its use for monitoring of a real-life scientific workflow.

scholarly journals SCIENTIFIC RESEARCH WITHIN THE FRAMEWORK OF UNIVERSITY MANAGEMENT

2020 ◽  
Vol 8 (10) ◽  
pp. 47-57
Author(s):  
Jorge Daher Nader ◽  
Amelia Patricia Panunzio ◽  
Marlene Hernández Navarro
Keyword(s):  
Scientific Research ◽  
Research Process ◽  
Research Management ◽  
Common Denominator ◽  
Research Practice ◽  
University Management ◽  
Practice Of Teaching ◽  
Low Motivation

Research management is conceptualized as the institutional activity oriented to the search, study, knowledge of reality, systematization of this knowledge and its transfer to satisfy needs and contribute to solving the problems of society. The results obtained in this article about scientific research, seem to be common to the scope of this research; What is clear is that the low motivation of teachers for research constitutes a common denominator in the universities of Ecuador, which, in the opinion of the author, can be increased if the management of the research process favors the institutional, administrative, curricular conditions that articulate the practice of teaching with research practice.

scholarly journals Unlocking the Black Box of AI Listening Machines: Assemblages for Art, Technology and Innovation

Artnodes ◽  
2020 ◽  
Author(s):  
Sharath Chandra Ramakrishnan
Keyword(s):  
Social Relations ◽  
Computational Models ◽  
Scientific Research ◽  
Black Box ◽  
Social Effects ◽  
Technical Expertise ◽  
Technology And Innovation ◽  
The Social ◽  
Artistic Interventions ◽  
Creative Interventions

The black box of innovation in the realm of connected AI technologies renders not only their technicalities opaque but also, and more importantly, the social effects and relations that constitute their creation and mediation. This presents an opportunity for creative interventions by artists and researchers, to unveil the networked relations that are part of AI technologies, and speculate on their ontological effects. This article presents such an unpacking around an AI listening machine present today in ubiquitous devices like voice assistants and smart speakers, and incorporates computational models of machine audition. By tracing the scientific research, technical expertise, and social relations that led to our cultural adoption of AI listening machines, the article presents a socio-technical assemblage within which these machines operate. At the same time, the article reveals various contexts for artists as well as innovation researchers to engage with the socio-technical complexity of AI listening machines, by sharing some instances of creative and artistic interventions that have attempted to unveil the nature of their assemblages.

scholarly journals A taste of his own medicine: analyzing Émile Zola’s interpretation of Claude Bernard’s experimental method

SURG Journal ◽  
2010 ◽  
Vol 4 (1) ◽  
pp. 35-43
Author(s):  
Pascale Rabideau
Keyword(s):  
Experimental Method ◽  
Scientific Method ◽  
Emile Zola ◽  
Scientific Field ◽  
Scientific Validity ◽  
Scientific Experiment ◽  
Experimental Novel

In 1880, Emile Zola (1840-1902) wrote Le Roman Expérimental. He believed that with the application of the scientific method, fictional novel writing could be a scientific field used to study human passions and psychology. Zola claims to take his method and arguments directly from French physiologist Claude Bernard’s (1813-1878) Introduction à la l’étude de médecine expérimentale (1865). But did Zola really understand Bernard’s experimental method? Comparing the experimental method outlined in Zola’s essay and Bernard’s book, it becomes apparent that although Zola understood the steps involved in Bernard’s method, his application of it to literature is flawed. He takes quotations out of context, he assigns contradictory values to the scientific validity of the experimental novel, and most fatally, Zola’s version of an experiment comes nowhere close to being what Bernard would consider a true scientific experiment.

Knowledge System and Spiral of Scientific Method by Dr. S. R. Ranganathan

2017 ◽  
pp. 235-243
Author(s):  
Shilpi Verma
Keyword(s):  
Scientific Method ◽  
Research Process ◽  
Knowledge System ◽  
Library Science ◽  
Quantitative Approach ◽  
Qualitative And Quantitative

The paper deals with concept of spiral of scientific method given by father of Library science Dr. S. R. Ranganathan. It lay downs relationship between types of research and spiral of knowledge. How the process of research is co-related with spiral of scientific method given by Dr. Ranganthan. The various types of research are elaborated keeping in view the spiral of scientific method. The approaches of research such as qualitative and quantitative approach are also examined. The spiral of knowledge is studied having relationship with research process.

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