scholarly journals Laboratory Instruments’ Produced Scientific Data Standardization through the Use of Metadata

2021 ◽  
Vol 12 (3) ◽  
pp. 2146-2151
Author(s):  
Nur Adila Azram Et.al
Keyword(s):  
Data Structure ◽  
Related Result ◽  
Scientific Data ◽  
Data Standardization ◽  
Standard Structure ◽  
Result Analysis ◽  
Structure Extraction

The progression of scientific data from various laboratory instruments is increasing these days. As different laboratory instruments hold different structures and formats of data, it became a concern in the management and analysis of data because of the heterogeneity of data structure and format. This paper offered a metadata structure to standardize the laboratory instruments' -produced scientific data to attain a standard structure and format. This paper contains explanation regarding the methodology and the use of proposed metadata structure, before summarizing the implementation and its related result analysis. The proposed metadata structure extraction shows promising results based on conducted evaluation and validation.

The value relevance of non-financial performance indicators: new cues from the European fashion industry

2011 ◽  
pp. 81-102
Author(s):  
Francesco Dainelli ◽  
Francesco Giunta
Keyword(s):  
Performance Indicators ◽  
Stock Prices ◽  
Value Relevance ◽  
Related Result ◽  
Analysis Procedure ◽  
Research Trend ◽  
Financial Indicators ◽  
Fashion Industry ◽  
Standardization Process ◽  
Result Analysis

Intangible assets and related performance measures assume increasing importance in valuation processes. Value relevance studies testify to their importance through an analysis of market stock prices. We aim to examine the value relevance of non-financial indicators in European fashion companies. The indicator selected is the "change in mono-brand stores". Applying the models proposed by current literature, we have refuted the value relevance hypothesis. However, refining both the "operationalization" of the concepts and the related result analysis procedure, the value relevance is confirmed. In this way, we contribute to increasing the generalizability of this research trend and to fuel the debate concerning the standardization process of this information. In particular, following in the footsteps of the Gartner/EBRC project, supported by AICPA (Gartner-EBRC, 2010), our results can help the national and international standard setters to pinpoint the indicators that really matter for the fashion industry and standardize their communication.

scholarly journals Scientific Experimental Data Representation Standard through Knowledge Metadata Representation Model

2019 ◽  
Vol 18 (02) ◽  
pp. 1950022
Author(s):  
Nur Adila Azram ◽  
Rodziah Atan
Keyword(s):  
Experimental Data ◽  
Data Structure ◽  
Data Representation ◽  
Representation Model ◽  
Proposed Model ◽  
Scientific Experiments ◽  
Heterogeneous Nature ◽  
Analysis Of Results ◽  
Standard Structure

The growth of data from scientific experiments is increasing nowadays. These data came from different experiments done through various laboratory instruments or machines. It became an issue to manage and analyse scientific experimental data because of the heterogeneous nature of data structure and format. This paper proposed a knowledge metadata representation model to standardise the scientific experimental data representation to make it a standard structure. We discussed the methodology of the proposed model and gives the analysis of results. The evaluation and validation of the knowledge metadata representation model, as well as the verification of the metadata elements extraction, show promising results.

Non-linear data structure extraction using simple hebbian networks

1995 ◽  
Vol 72 (6) ◽  
pp. 533-541 ◽  
Author(s):  
Colin Fyfe ◽  
Roland Baddeley
Keyword(s):  
Data Structure ◽  
Non Linear ◽  
Structure Extraction

Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories

2015 ◽  
Vol 6 (4) ◽  
pp. 70-89
Author(s):  
Niu Woyuan ◽  
Ryosuke Saga ◽  
Hiroshi Tsuji ◽  
Yukie Majima
Keyword(s):  
Software Engineer ◽  
Optimal Growth ◽  
Learning Objectives ◽  
Growth Trajectories ◽  
Growth Path ◽  
Flexible Approach ◽  
Data Standardization ◽  
Optimal Growth Path ◽  
The Cost ◽  
Structure Extraction

In this study, the authors propose an optimal growth pathfinding method to support learners in effectively mastering a set of capabilities. Under the assumption of prerequisite relationships among learning objectives, the main processes of the method are as follows: (1) extracting the capability structure from growth trajectories, (2) remodeling the problem as a traveling salesman problem with restrictions among learning objectives, and (3) generating the cost matrix and obtaining the optimal growth path. In addition, a flexible approach to data standardization as a step of capability structure extraction is discussed. The proposed method is also applied to a software engineer growth dataset with 30 responders.

Non-linear data structure extraction using simple hebbian networks

1995 ◽  
Vol 72 (6) ◽  
pp. 533-541 ◽  
Author(s):  
Colin Fyfe ◽  
Roland Baddeley
Keyword(s):  
Data Structure ◽  
Non Linear ◽  
Structure Extraction

scholarly journals CEUTA snowy plover open access data - COMMENTARY

2021 ◽  
Author(s):  
Tamas Szekely ◽  
Andras Kosztolanyi ◽  
Cristina Carmona-Isunza ◽  
Martin Alejandro Serrano-Meneses
Keyword(s):  
Data Structure ◽  
Open Access ◽  
Scientific Data ◽  
Open Access Data ◽  
Field Methodology ◽  
Snowy Plover ◽  
Access Data

Eberhart-Phillips et al. (2020, Scientific Data 7: 149) recently published a data-paper CeutaOPEN. However, the publication has significant shortcomings: the article does not explain the history nor the context of the project, it did not give credit to the developers of field methodology and data structure, and fails to acknowledge key contributions to the project. We request correcting these shortcomings.

Data Structure Extraction in Database Reverse Engineering

1999 ◽  
pp. 149-160
Author(s):  
J. Henrard ◽  
J. -L. Hainaut ◽  
J. -M. Hick ◽  
D. Roland ◽  
V. Englebert
Keyword(s):  
Data Structure ◽  
Reverse Engineering ◽  
Structure Extraction

scholarly journals BIDS-EEG: an extension to the Brain Imaging Data Structure (BIDS) Specification for electroencephalography

2018 ◽  
Author(s):  
Cyril R Pernet ◽  
Stefan Appelhoff ◽  
Guillaume Flandin ◽  
Christophe Phillips ◽  
Arnaud Delorme ◽  
...  
Keyword(s):  
Data Structure ◽  
Brain Imaging ◽  
Study Data ◽  
Scientific Data ◽  
Research Community ◽  
Imaging Data ◽  
Eeg Data ◽  
Imaging Research ◽  
Brain Imaging Data ◽  
The Brain

The Brain Imaging Data Structure (BIDS) project is a quickly evolving effort among the human brain imaging research community to create standards allowing researchers to readily organize and share study data within and between laboratories. The first BIDS standard was proposed for the MRI/fMRI research community and has now been widely adopted. More recently a magnetoencephalography (MEG) data extension, BIDS-MEG, has been published. Here we present an extension to BIDS for electroencephalography (EEG) data, BIDS-EEG, along with tools and references to a series of public EEG datasets organized using this new standard. A shortened version is now published in Nature Scientific Data: https://www.nature.com/articles/s41597-019-0104-8.

Fifth Edition: the New Standard

2000 ◽  
Vol 5 (6) ◽  
pp. 1-7
Author(s):  
Christopher R. Brigham ◽  
James B. Talmage ◽  
Leon H. Ensalada
Keyword(s):  
Musculoskeletal System ◽  
Medical Information ◽  
Objective Assessment ◽  
Scientific Data ◽  
Practical Application ◽  
Fourth Edition ◽  
Appropriate Use ◽  
Medical Evaluation ◽  
Single Set

Abstract The AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Fifth Edition, is available and includes numerous changes that will affect both evaluators who and systems that use the AMA Guides. The Fifth Edition is nearly twice the size of its predecessor (613 pages vs 339 pages) and contains three additional chapters (the musculoskeletal system now is split into three chapters and the cardiovascular system into two). Table 1 shows how chapters in the Fifth Edition were reorganized from the Fourth Edition. In addition, each of the chapters is presented in a consistent format, as shown in Table 2. This article and subsequent issues of The Guides Newsletter will examine these changes, and the present discussion focuses on major revisions, particularly those in the first two chapters. (See Table 3 for a summary of the revisions to the musculoskeletal and pain chapters.) Chapter 1, Philosophy, Purpose, and Appropriate Use of the AMA Guides, emphasizes objective assessment necessitating a medical evaluation. Most impairment percentages in the Fifth Edition are unchanged from the Fourth because the majority of ratings currently are accepted, there is limited scientific data to support changes, and ratings should not be changed arbitrarily. Chapter 2, Practical Application of the AMA Guides, describes how to use the AMA Guides for consistent and reliable acquisition, analysis, communication, and utilization of medical information through a single set of standards.

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