scholarly journals A local platform for user-friendly FAIR data management and reproducible analytics

2021 ◽  
Author(s):  
Florian Wieser ◽  
Sarah Stryeck ◽  
Konrad Lang ◽  
Christoph Hahn ◽  
Gerhard Thallinger ◽  
...  
Keyword(s):  
Data Management ◽  
User Friendly

scholarly journals Strengthening of banana breeding through data digitalization

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
B Vignesh Kumar ◽  
S Backiyarani ◽  
A Chandrasekar ◽  
S Saranya ◽  
D Ramajayam ◽  
...  
Keyword(s):  
Data Management ◽  
Qr Code ◽  
Data Sets ◽  
Improvement Program ◽  
Web Based ◽  
The Public ◽  
Efficient Retrieval ◽  
Efficient Data ◽  
Advanced Information Technology ◽  
User Friendly

Abstract Improvement of edible bananas (a triploid and sterile crop) through conventional breeding is a challenging task owing to its recalcitrant nature for seed set, prolonged crop duration. In addition, the need of huge man power at different stages of progeny development and evaluation often leads to mislabeling, poor data management and loss of vital data. All this can be overcome by the application of advanced information technology source. This ensured secure and efficient data management such as storage, retrieval and data analysis and further could assist in tracking the breeding status in real time. Thus, a user-friendly web-based banana breeding tracker (BBT) has been developed using MySQL database with Hypertext Preprocessor (PHP). This BBT works on all operating systems with access to multiple users from anywhere at any time. Quick responsive (QR) code labels can be generated by the tracker, which can be decoded using QR scanner. Also for each and every updated progress in breeding stages, a new QR code can be generated, which in turn reduce labeling errors. Moreover, the tracker has additional tools to search, sort and filter the data from the data sets for efficient retrieval and analysis. This tracker is being upgraded with phenotypic and genotypic data that will be made available in the public domain for hastening the banana improvement program.

MyCrystals– a simple visual data management program for laboratory-scale crystallization experiments

2009 ◽  
Vol 42 (4) ◽  
pp. 741-742
Author(s):  
Monika Nøhr Løvgreen ◽  
Mikkel Løvgreen ◽  
Hans E. M. Christensen ◽  
Pernille Harris
Keyword(s):  
Data Management ◽  
Management Program ◽  
Laboratory Scale ◽  
Visual Data ◽  
Crystallization Experiments ◽  
Crystallization Conditions ◽  
User Friendly

MyCrystalsis designed as a user-friendly program to display crystal images and list crystallization conditions. The crystallization conditions entry fields can be customized to suit the experiments.MyCrystalsis also able to sort the images by the entered crystallization conditions, which presents a unique opportunity to easily assess the effect of, for example, changing pH or concentration and thus establish the best conditions to be used for optimization.

scholarly journals BIMcpd: A Combined Toolkit for Constraint Checking, Performance Evaluation and Data Management in Building Renovation Projects

Proceedings ◽  
2021 ◽  
Vol 65 (1) ◽  
pp. 32
Author(s):  
Brian O’Regan ◽  
Eoin O’Leidhin ◽  
Farah Tahir ◽  
Karen Mould ◽  
Stephen O’Donovan ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Data Management ◽  
Data Sets ◽  
Research Project ◽  
Constraint Checking ◽  
Analyse Data ◽  
User Friendly ◽  
Significant Data

Effective and efficient building renovations require significant data management and analysis. The ability to store, analyse, and display this data in a user-friendly way can play an important role in easing the process. The tools developed by authors of this paper during their work in the BIM4EEB research project are contained in three distinct intuitive applications that will allow users to (a) find recommended positions for HVAC, lighting, and other devices; (b) analyse data from sensors, energy bills, and other sources (weather for example); and (c) manage the data that they have on the above and create new data sets that they can share with other tools.

scholarly journals Development of a customised data management system for a COVID-19-adapted colorectal cancer pathway

2020 ◽  
Author(s):  
Frances Gunn ◽  
Janice Miller ◽  
Malcolm G Dunlop ◽  
Farhat V N Din ◽  
Yasuko Maeda
Keyword(s):  
Colorectal Cancer ◽  
Data Management ◽  
Management System ◽  
Data Entry ◽  
Large Data ◽  
Data Monitoring ◽  
Data Management System ◽  
Volume Data ◽  
Direct Data ◽  
User Friendly

AbstractPurposeThe COVID-19 pandemic posed an unprecedented challenge to healthcare systems around the world. To mitigate the risks of those referred with possible colorectal cancer during the pandemic we implemented a clinical pathway which required a customised data management system for robust operation. Here, we describe the principal concepts and evaluation of the performance of a spreadsheet-based data management system.MethodsA system was developed using Microsoft Excel® 2007 aiming to retain the spreadsheets inherent intuitiveness of direct data entry. Data was itemised limiting entry errors. Visual Basic for Applications (VBA) was used to construct a user-friendly interface to enhance efficiency of data entry and segregate the data required for operational tasks. This was done with built-in loop-back data entry. Finally data derivation and analysis was performed to facilitate pathway monitoring.ResultsFor a pathway which required rapid implementation and development of a customised data management system, the use of a spreadsheet was advantageous due to its user-friendly direct data entry capability. Its function was enhanced by UserForm and large data handling by data segregation using VBA macros. Data validation and conditional formatting minimised data entry errors. Computation by the COUNT function facilitated live data monitoring on a dashboard. During the three months the pathway ran for, the system processed 36 nodal data points for each of the included 837 patients. Data monitoring confirmed its accuracy.ConclusionLarge volume data management using a spreadsheet system is possible with appropriate data definition and VBA programmed data segregation. Clinicians’ regular input and optimisation made the system adaptable for rapid implementation.

scholarly journals PhyloSuite: an integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies

2018 ◽  
Author(s):  
Dong Zhang ◽  
Fangluan Gao ◽  
Wen X Li ◽  
Ivan Jakovlić ◽  
Hong Zou ◽  
...  
Keyword(s):  
Data Management ◽  
Sequence Data ◽  
Bioinformatic Analysis ◽  
Mitochondrial Genomes ◽  
Molecular Sequence Data ◽  
Molecular Sequence ◽  
Bioinformatic Tools ◽  
User Friendly ◽  
Scientific Questions ◽  
Entire Procedure

Multi-gene and genomic datasets have become commonplace in the field of phylogenetics, but many of the existing tools are not designed for such datasets, which makes the analysis time-consuming and tedious. We therefore present PhyloSuite, a user-friendly workflow desktop platform dedicated to streamlining molecular sequence data management and evolutionary phylogenetics studies. It employs a plugin-based system that integrates a number of useful phylogenetic and bioinformatic tools, thereby streamlining the entire procedure, from data acquisition to phylogenetic tree annotation, with the following features: (i) point-and-click and drag-and-drop graphical user interface, (ii) a workspace to manage and organize molecular sequence data and results of analyses, (iii) GenBank entries extraction and comparative statistics, (iv) a phylogenetic workflow with batch processing capability, (v) elaborate bioinformatic analysis for mitochondrial genomes. The aim of PhyloSuite is to enable researchers to spend more time playing with scientific questions, instead of wasting it on conducting standard analyses. The compiled binary of PhyloSuite is available under the GPL license at https://github.com/dongzhang0725/PhyloSuite/releases, implemented in Python and runs on Windows, Mac OSX and Linux.

scholarly journals IntelliEppi: Intelligent reaction monitoring and holistic data management system for the molecular biology lab

2017 ◽  
Author(s):  
Arthur Neuberger ◽  
Zeeshan Ahmed ◽  
Thomas Dandekar
Keyword(s):  
Molecular Biology ◽  
Data Management ◽  
Management System ◽  
Relevant Information ◽  
Data Management System ◽  
Reaction Monitoring ◽  
Direct Tracking ◽  
2D Data ◽  
User Friendly ◽  
Biology Lab

AbstractDaily alterations of routines and protocols create high, yet so far unmet demands for intelligent reaction monitoring, quality control and data management in molecular biology laboratories. To meet such needs, the “internet of things” is implemented here. We propose an approach which combines direct tracking of lab tubes, reactions and racks with a comprehensive data management system. Reagent tubes in this system are tagged with 2D data matrices or imprinted RFID-chips using a unique identification number. For each tube, individual content and all relevant information based on conducted experimental procedures are stored in an experimental data management system. This information is managed automatically but allow scientists to engage and interfere via user-friendly graphical interface. Tagged tubes are used in connection with a detectable RFID-tagged rack. We show that reaction protocols, HTS storage and complex reactions are easily planned and controlled.

scholarly journals Making FAIR Easy with FAIR Tools: From Creolization to Convergence

2020 ◽  
Vol 2 (1-2) ◽  
pp. 87-95 ◽  
Author(s):  
Mark Thompson ◽  
Kees Burger ◽  
Rajaram Kaliyaperumal ◽  
Marco Roos ◽  
Luiz Olavo Bonino da Silva Santos
Keyword(s):  
Data Management ◽  
Daily Practice ◽  
Research Data ◽  
Early Adopters ◽  
Scientific Disciplines ◽  
Data Stewardship ◽  
Fair Principles ◽  
Specific Standard ◽  
Subsequent Phase ◽  
User Friendly

Since their publication in 2016 we have seen a rapid adoption of the FAIR principles in many scientific disciplines where the inherent value of research data and, therefore, the importance of good data management and data stewardship, is recognized. This has led to many communities asking “What is FAIR?” and “How FAIR are we currently?”, questions which were addressed respectively by a publication revisiting the principles and the emergence of FAIR metrics. However, early adopters of the FAIR principles have already run into the next question: “How can we become (more) FAIR?” This question is more difficult to answer, as the principles do not prescribe any specific standard or implementation. Moreover, there does not yet exist a mature ecosystem of tools, platforms and standards to support human and machine agents to manage, produce, publish and consume FAIR data in a user-friendly and efficient (i.e., “easy”) way. In this paper we will show, however, that there are already many emerging examples of FAIR tools under development. This paper puts forward the position that we are likely already in a creolization phase where FAIR tools and technologies are merging and combining, before converging in a subsequent phase to solutions that make FAIR feasible in daily practice.

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