scholarly journals An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicology

2015 ◽  
Vol 6 ◽  
pp. 1978-1999 ◽  
Author(s):  
Richard L Marchese Robinson ◽  
Mark T D Cronin ◽  
Andrea-Nicole Richarz ◽  
Robert Rallo
Keyword(s):  
Data Collection ◽  
Data Driven ◽  
Electronic Format ◽  
Business Rules ◽  
Meta Data ◽  
Future Developments ◽  
Current Article ◽  
Eu Project

Analysis of trends in nanotoxicology data and the development of data driven models for nanotoxicity is facilitated by the reporting of data using a standardised electronic format. ISA-TAB-Nano has been proposed as such a format. However, in order to build useful datasets according to this format, a variety of issues has to be addressed. These issues include questions regarding exactly which (meta)data to report and how to report them. The current article discusses some of the challenges associated with the use of ISA-TAB-Nano and presents a set of resources designed to facilitate the manual creation of ISA-TAB-Nano datasets from the nanotoxicology literature. These resources were developed within the context of the NanoPUZZLES EU project and include data collection templates, corresponding business rules that extend the generic ISA-TAB-Nano specification as well as Python code to facilitate parsing and integration of these datasets within other nanoinformatics resources. The use of these resources is illustrated by a “Toy Dataset” presented in the Supporting Information. The strengths and weaknesses of the resources are discussed along with possible future developments.

Development of a Pilot Manufacturing Cyberinfrastructure With an Information Rich Mechanical CAD 3D Model Repository

2019 ◽  
Author(s):  
Akshay Bharadwaj ◽  
Yang Xu ◽  
Atin Angrish ◽  
Yong Chen ◽  
Binil Starly
Keyword(s):  
Product Design ◽  
Academic Research ◽  
Digital Design ◽  
Data Driven ◽  
Concept Design ◽  
Design Data ◽  
Meta Data ◽  
Pilot Implementation ◽  
Project Data ◽  
Manufacturing Data

Abstract Data driven advanced manufacturing research is dependent on access to large datasets made available from across the product lifecycle — from the concept design phase all the way down to end use and disposal. Despite such data being generated at a rapid pace, most product design data is archived in inaccessible silos. This is particularly acute in academic research laboratories and with data generated during product design and manufacturing courses. This project seeks to create an infrastructure that allow users (academia and the general public) to easily upload project data and related meta-data. Current manufacturing research must shift from siloed repositories of product manufacturing data to a federated, decentralized, open and inter-operable approach. In this regard, we build ‘FabWave’ a cyber-infrastructure tool designed to capture manufacturing data. In its first pilot implementation, we focused our attention to gathering information rich 3D Mechanical CAD data and related meta-data associated with them, with the intent to make it easier for users to upload and access product design data. We describe workflows that we have initially tested out within the two academic universities and under two different course structures. We have also developed automated workflows to gather license appropriate CAD assemblies from commercial repositories. Our intent is to create the only known largest available CAD model set within academia for enabling research in data-driven computational research in digital design, fabrication and quality control.

Providing Data-Driven Equitable Palliative and End-of-Life Care for Structurally Vulnerable Populations: A Pilot Survey of Information Management Strategies

2019 ◽  
Vol 37 (4) ◽  
pp. 244-249
Author(s):  
Akshay Rajaram ◽  
Trevor Morey ◽  
Sonam Shah ◽  
Naheed Dosani ◽  
Muhammad Mamdani
Keyword(s):  
Palliative Care ◽  
North America ◽  
Data Collection ◽  
Information Management ◽  
Vulnerable Populations ◽  
Management Strategies ◽  
Data Driven ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Data Infrastructure

Background: Considerable gains are being made in data-driven efforts to advance quality improvement in health care. However, organizations providing hospice-oriented palliative care for structurally vulnerable persons with terminal illnesses may not have the enabling data infrastructure or framework to derive such benefits. Methods: We conducted a pilot cross-sectional qualitative study involving a convenience sample of hospice organizations across North America providing palliative care services for structurally vulnerable patients. Through semistructured interviews, we surveyed organizations on the types of data collected, the information systems used, and the challenges they faced. Results: We contacted 13 organizations across North America and interviewed 9. All organizations served structurally vulnerable populations, including the homeless and vulnerably housed, socially isolated, and HIV-positive patients. Common examples of collected data included the number of referrals, the number of admissions, length of stay, and diagnosis. More than half of the organizations (n = 5) used an electronic medical record, although none of the record systems were specifically designed for palliative care. All (n = 9) the organizations used the built-in reporting capacity of their information management systems and more than half (n = 6) augmented this capacity with chart reviews. Discussion: A number of themes emerged from our discussions. Present data collection is heterogeneous, and storage of these data is highly fragmented within and across organizations. Funding appeared to be a key enabler of more robust data collection and use. Future work should address these gaps and examine opportunities for innovative ways of analysis and reporting to improve care for structurally vulnerable populations.

scholarly journals A metric for the measurement of passively transparent behavior in communication chains

2020 ◽  
Vol 11 (2) ◽  
pp. 121-138
Author(s):  
Oscar Quirinus Herbertus de Souza ◽  
Fabiano Maury Raupp
Keyword(s):  
Data Collection ◽  
Empirical Data ◽  
Public Information ◽  
Social Institutions ◽  
Social Value ◽  
Information Collection ◽  
Meta Data ◽  
Collection Process ◽  
Data Collection Process ◽  
The Social

In this paper, we present a method for empirically measuring the extent to which social institutions actively cooperate in the provision of public information. The method described here allows researchers to collect accurate empirical data corresponding to specific items of requested information to produce presentable meta-data on the information collection process. The data are extracted from communication chains and generated by tracking each unitary item of requested information in an item chain. After describing the data collection process and how the data are indexed using a three-figure tag, we explain how the collected data can be used to produce aggregated passive transparency ratings for institutions across content topics and for content topics across institutions. The article ends with a discussion of the social value of using transparency data, and the benefits that might be derived from institutional and content-specific passive transparency ratings.

OBACIS Analytics: The Catalogs

2018 ◽  
Author(s):  
Mohamed Ismail
Keyword(s):  
Data Collection ◽  
Continuous Improvement ◽  
Work Flow ◽  
Data Driven ◽  
Reporting Standards ◽  
Integrated Framework ◽  
Order Of Magnitude ◽  
Previous Visit ◽  
Centralized Database

OBACIS is an integrated framework being developed to accelerate the accreditation reporting work-flow, cut down the reporting cost by an order of magnitude, and close the data-driven continuous improvement loop. This paper focuses on creating a centralized database for compiling accreditation data required for accreditation reporting from various resources such as previous visit accreditation reports, academic calendars, course schedules, and a handful of other resources are used to create what we call the Catalogs. Despite the fact that the Catalogs framework has been developed to meet the reporting standards of Canadian Engineering and Accreditation Board (CEAB), The system can be easily adapted to meet other standards such as ABET and EUR-ACE. The Catalogs are supposed to save a sheer amount of time needed for accreditation reporting and should act as an instrumental tool for accelerating accreditation data collection, creating insightful analyses, and identifying gaps for continuous improvement initiatives at both program and faculty levels.

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