Repositioning Data Management Near Data Acquisition

2016 ◽  
pp. 178-199 ◽  
Author(s):  
Paolo Diviacco ◽  
Jordi Sorribas ◽  
Karien De Cauwer ◽  
Jean Marc Sinquin ◽  
Raquel Casas ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Data Acquisition ◽  
Data Management ◽  
End Users ◽  
Metadata Model

This chapter intends to propose a solution to the progressive paradigmatic drift that emerges when data is part of a workflow where processes and contexts are not accessible. In this case end users can have difficulties in identifying possible anomalies, or events that might be very important for the dataset and its interpretation. Since sustainable development is based on cross-disciplinary studies, this can revert in misunderstanding and difficulties to work collaboratively. To address this issue it is proposed to fill the gap between the data and its acquisition through a logging system named EARS that records underway data such as for example: meteo or swell, and events such as: anomalies or acquisition milestones. Once all these information are stored, they can be linked to the data through an OGC compliant metadata model and gathered as summaries as required by several data management initiatives.

Energy Data Acquisition and Utilization for Energy-Oriented Product Data Management

2011 ◽  
pp. 513-518
Author(s):  
Thomas Reichel ◽  
Gudula Rünger ◽  
Daniel Steger ◽  
Uwe Frieß ◽  
Markus Wabner
Keyword(s):  
Data Acquisition ◽  
Data Management ◽  
Product Data Management ◽  
Energy Data ◽  
Product Data

Curtailing the Threats to Cloud Computing in the Fourth Industrial Revolution

2018 ◽  
pp. 112-140 ◽  
Author(s):  
John Gyang Chaka ◽  
Mudaray Marimuthu
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cost Minimization ◽  
End Users ◽  
Security Threats ◽  
Fourth Industrial Revolution ◽  
Organizational Needs

Cloud computing enables end users to make use of third party's resources to support their computing needs. The services offered by cloud computing make the technology very critical to the fourth industrial revolution. The benefits include cost minimization, scalability of services, speed, integration and higher data management, low innovation risk, and quicker response to organizational needs, among others. However, these benefits have been threatened by a number of security threats. This chapter seeks to curtail the effects of these threats by enlightening and educating users on the current ways to mitigate them. The chapter first defines cloud computing and highlights its relevance or benefits to businesses in the fourth industrial revolution. In addition, various security threats that are associated with cloud computing are brought to the fore. Thereafter, various measures that are used to mitigate the threats are discussed. The chapter concludes that with adequate enlightenment, the full benefits of cloud computing in industry 4.0 would be better enjoyed by users.

Integration of Web-based and PC-based Clinical Research Databases

2004 ◽  
Vol 43 (03) ◽  
pp. 287-295 ◽  
Author(s):  
K. Sun ◽  
P. Charpentier ◽  
P. M. Nadkarni ◽  
C. A. Brandt
Keyword(s):  
Data Management ◽  
Study Data ◽  
Management Systems ◽  
Measurement Instruments ◽  
Web Based ◽  
Metadata Model ◽  
Major Benefit ◽  
Operating Environments ◽  
Data Library ◽  
Cross Fertilization

SummaryWe have created a Web-based repository or data library of information about measurement instruments used in studies of multi-factorial geriatric health conditions (the Geriatrics Research Instrument Library – GRIL) based upon existing features of two separate clinical study data management systems. GRIL allows browsing, searching, and selecting measurement instruments based upon criteria such as keywords and areas of applicability. Measurement instruments selected can be printed and/or included in an automatically generated standalone microcomputer database application, which can be downloaded by investigators for use in data collection and data management. Methods: Integration of database applications requires the creation of a common semantic model, and mapping from each system to this model. Various database schema conflicts at the table and attribute level must be identified and resolved prior to integration. Using a conflict taxonomy and a mapping schema facilitates this process. Results: Critical conflicts at the table level that required resolution included name and relationship differences. Conclusions: A major benefit of integration efforts is the sharing of features and cross-fertilization of applications created for similar purposes in different operating environments. Integration of applications mandates some degree of metadata model unification.

Beyond Micro-Tasks

2018 ◽  
Vol 29 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Roman Lukyanenko ◽  
Jeffrey Parsons
Keyword(s):  
Data Acquisition ◽  
Data Management ◽  
Future Research ◽  
Information Production ◽  
Management Research ◽  
Research Attention ◽  
Important Type ◽  
Sensory Ability ◽  
Term Data

The emergence of crowdsourcing as an important mode of information production has attracted increasing research attention. In this article, the authors review crowdsourcing research in the data management field. Most research in this domain can be termed tasked-based, focusing on micro-tasks that exploit scale and redundancy in crowds. The authors' review points to another important type of crowdsourcing – which they term observational – that can expand the scope of extant crowdsourcing data management research. Observational crowdsourcing consists of projects that harness human sensory ability to support long-term data acquisition. The authors consider the challenges in this domain, review approaches to data management for crowdsourcing, and suggest directions for future research that bridges the gaps between the two research streams.

Quality assurance review center: Role in multi-institutional breast cancer trials.

2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 205-205
Author(s):  
J. Moni ◽  
H. T. Le-Petross ◽  
J. C. Boughey ◽  
F. Laurie ◽  
R. Hanusik ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Assurance ◽  
Data Acquisition ◽  
Data Management ◽  
Remote Access ◽  
Data Management System ◽  
Data Systems ◽  
Neoadjuvant Endocrine Therapy ◽  
Trial Management ◽  
Cancer Trials

205 Background: Central review is an important trial management and validation tool. Multisite trials require data systems to accommodate diverse image acquisition and review. Breast cancer is challenging as its imaging objects are not always easily shared across departments. Quality Assurance Review Center (QARC) has a diverse portfolio of facile data acquisition and powerful informatics support that meets these needs. We report on the role of QARC in three of the current breast cancer trials from the American College of Surgeons Oncology Group. Methods: QARC data management system includes secure network infrastructure and a validated relational operating database (MAX). QARC has data acquisition/imaging re-distribution expertise for real time response reviews, response measuring tools and corresponding data archive for secondary reviews. MAX includes query ability; records link to digital information. QARC underwent systematic information systems validation process for 21 CFR Part 11. DICOM/non-DICOM files are stored in the QARC PACS. On-site/remote reviewers use MAX to retrieve, view, annotate and save images. Data extracted is securely sent to partner statistical centers. Results: In Z1031, a neoadjuvant endocrine therapy trial, all of the mammographic exams are archived at QARC. For Z1071, a sentinel lymph node trial, pre- and post-treatment ultrasound (US) images of 321 patients were remotely reviewed. For Z1072, the cryoablation US, pre and post-cryoablation MRI for 40 of 47 cases were remotely archived, retrieved and transferred to investigator workstation for post-processing and review. The other 7 patients did not have evaluable imaging studies. In all three trials, the costs of shipping hardcopies of exams and travel to QARC for central review functions were eliminated. Conclusions: QARC data management systems provide diverse informatics supports for multi-institutional trials, ranging from archives of images, provide remote access and download of data, and central review. The vibrant informatics supports meet the growing needs of clinical trials. Future directions include radiation field review for breast cancer trials and the incorporation of pathology microarray analysis as DICOM objects.

scholarly journals Knowledge transfer in a digital world: Field data acquisition, uncertainty, visualization, and data management

Geosphere ◽  
2007 ◽  
Vol 3 (6) ◽  
pp. 568 ◽  
Author(s):  
C.E. Bond ◽  
Z.K. Shipton ◽  
R.R. Jones ◽  
R.W.H. Butler ◽  
A.D. Gibbs
Keyword(s):  
Knowledge Transfer ◽  
Data Acquisition ◽  
Data Management ◽  
Field Data ◽  
Uncertainty Visualization ◽  
Digital World
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