User data management

A different approach is taken by lO-Informatics (www.io-informatics. com), whose Sentient product allows users to manage, analyze, compare, link, and associate data from heterogeneous sources. Instead of creating work-flows, data sources and applications are aggregated upfront in a graphical user interface that allows many kinds of information to be viewed at once, and customized links and queries between them can also be created easily. 

Kiuchi T, Ohashi Y, Konishi M, Bandai Y, Kosuge T, Kakizoe T. A world wide web-based user interface for a data management system for use in multi-institutional clinical trials—development and experimental operation of an automated subjects registration and random allocation system. Controlled Clin Trials 1996 17 6 476-93. 

Modern NMR software covers all facets of MR applications and assists the laboratory staff and the research groups not only in the standard procedures of scan preparation, data acquisition, reconstruction and analysis, but also offers an appropriate development environment for user defined measurement methods and data analysis algorithms and provides easy-to-use tools for data management, documentation, export and archiving. The software allows the user to run complex NMR machines in a routine manner and to integrate the spectrometer into the laboratory infrastructure [7]. 

Data management in RS/1 is based on two-dimensional tables. Each cell of a table can contain data representing fixed or floating point numbers, dates, times, or free text. Cells in a particular column are not all constrained to the same type it is possible, for example, to include a note about some missing data in a column of numerical results. A user can work with many hundreds of tables. Tables are based on disk files, accessed through a kind of paging scheme, so there is no limit on table size. Some users work with tables containing hundreds of columns and tens of thousands of rows. 

Figure 1. A single command allows Che user Co creaCe a new column in an RS/1 Cable as a transformation of existing data. (Reproduced with permission from University of South Carolina Press Columbia, S.C., 1986 Channing Russell In Research Data Management in the Ecological Sciences Michener, William, Ed. pp 373-381.)...

In an attempt to provide this focus, forty-seven active receptor model users from government, university, consulting and industry met for 2 1/2 days in February 1980 it. They addressed the models and the information required to use them in six separate task forces 1) Chemical Element Balance Receptor Models, 2) Multivariate Receptor Models, 3) Microscopic Identification Receptor Models, 4) Field Study Design and Data Management, 5) Source Characterization, and 6) Analytical Methods. The objectives of these interrelated task forces were to ... 

The hardware architecture must be flexible with respect to bus technology, expansions, network integration and modem access. The use of standard components and software and also a maintenance-friendly design will simplify qualification and validation for both the manufacturer and the user. It is advisable to design the machine control separately from the data management (i.e. recipe and data administration) to ensure that if there is a failure, loss of data does not result in losing a batch. Pro-... 

The second section reviews documentation in relation to CSV and the procedural controls required for regulated operations. Change management and control, training, and security (introducing key technology-driven services such as user/data authentication and access control), are followed by guidance on source code issues, and suppliers qualifications. 

A complete knowledge of the data quality that arises only from Level 4 validation enables the data user to make project decisions with the highest level of confidence in the data quality. That is why Level 4 validation is usually conducted for the data collected to support decisions related to human health. Level 4 validation allows the reconstruction of the entire laboratory data acquisition process. It exposes errors that cannot be detected during Level 3 validation, the most critical of which are data interpretation errors and data management errors, such as incorrect computer algorithms. 

A data management system handles all the data generated during different HTS projects. This system needs to be centralized but user friendly and flexible to allow query execution and satisfy the users needs, while keeping... 

Compnters are widely used in analytical laboratories for instrument control, data evaluation, and data management, and are subject to all validation and verification activities. Verification and validation activities to assess compnter systems used in analytical laboratories cover all life-cycle phases, from nser Reqnirements Specifications, design, development, and manufacturing to installation and operation. In this case stndy, users of computer systems will find guidelines on ... 

The role of Performance Qualification, which entails challenging the application within the scope of business processes, is harder to distinguish. As a consequence PQ for databases may be combined with User Acceptance testing. Items for consideration within a PQ include verification of data management within the application (actually checking manipulated data sets to determine they are correct), and examining the role of the application within the wider process flow. 

Assignation of user privileges Addition/removal of users Password management Data backup, archiving, and restoration... 

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