PubMed HealthSearch

PubMed · 8718359

Using a database for managing interview data.

Abstract

The definition of a database includes any structured collection of information. A computer database can be used to store transcripts, find particular entries and to extract subsets of data.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P Burnard. 1996. Using a database for managing interview data.. https://pubmed.ncbi.nlm.nih.gov/8718359/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

'LABNOTE', a laboratory notebook system designed for academic genomics groups.

We have developed a relational laboratory database system, adapted to the daily book-keeping needs of laboratories that must keep track of information acquired on hundreds or thousands of clones in an effective and user-friendly fashion. Data, whether final or related to experiments in progress, can be accessed in many different ways, e.g. by clone name, by gene, by experiment or through DNA sequence. Updating, import and export of results is made easier by specially developed tools. This system, in network version, serves several groups in our Institute and (over the Internet) elsewhere, and is instrumental in collaborative studies based on expression profiling. It can be used in many similar situations involving progressiveaccumulation of information on sets of clones or related objects.

Database Management Systems

The development cycle of a pharmaceutical discovery chemi-informatics system.

The rate at which we now produce, test, and warehouse new compound structures in the Discovery process strains our ability to evaluate and comprehend the information that results [Fayyad U. Database Programming and Design 1998;11(3):24]. With the advent of robotic systems and specialized software tools, the profusion of data yielded by the pharmaceutical discovery process is testing the manageability and usefulness of the information resource. Clearly, the challenge faced by Discovery today lies not in the generation of data, but in the generation of software tools that provide the means to store, extract, analyze, and display the data contained within the this expanding resource, and thereby meet the needs of the disciplines participating in the Discovery process. In this review a schematic of a chemi-informatics system, that aids our adaptation to the evolving Discovery process and the expanded flow of pharmaceutical data, is discussed.

Database Management Systems

Iditis: protein structure database.

The validation, enrichment and organization of the data stored in PDB files is essential for those data to be used accurately and efficiently for modelling, experimental design and the determination of molecular interactions. The Iditis protein structure database has been designed to allow the widest possible range of queries to be performed across all available protein structures. The Iditis database is the most comprehensive protein structure resource currently available, and contains over 500 fields of information describing all publicly deposited protein structures. A custom-written database engine and graphical user interface provide a natural and simple environment for the construction of searches for complex sequence- and structure-based motifs. Extensions and specialized interfaces allow the data generated by the database to used in conjunction with a wide range of applications.

Database Management Systems