1.

Record Nr.

UNINA9910462969003321

Autore

Bonnel Wanda E

Titolo

Proposal writing for nursing capstones and clinical projects [[electronic resource] /] / Wanda Bonnel, Katharine V. Smith

Pubbl/distr/stampa

New York, : Springer Pub. Co., c2014

ISBN

0-8261-0863-6

Descrizione fisica

1 online resource (216 p.)

Altri autori (Persone)

SmithKatharine Vogel

Disciplina

610.73076

Soggetti

Nursing - Research

Proposal writing in medicine

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Introduction : why a scholarly proposal for the advanced clinical project? -- Utilizing the writing plan as a developmental tool for the advanced clinical project proposal -- Writing up a good clinical problem and placing the clinical problem in context -- Into the literature: gaining best evidence for the advanced clinical project proposal -- Into the literature: synthesizing the relevant literature for the advanced clinical project proposal -- Framing the advanced clinical project proposal with relevant clinical frameworks -- Seeking outcomes; addressing key sampling and evaluation issues in the advanced clinical project proposal -- The purpose of the purpose statement -- Mapping it out, from problem to advanced clinical project proposal plan -- Writing the methods section, organizing the advanced clinical project proposal -- Planning for gaining clinical project data -- Writing the data analysis proposal plans for advanced clinical projects -- Keeping clinical project ethical and dependable-proposal plans -- Revising, editing, and tightening the advanced clinical project proposal -- Keeping your advanced clinical project proposal moving forward.

Sommario/riassunto

While advanced practice nursing students generally have good clinical skills, many lack the clinical scholarship capabilities that are required for writing scholarly proposals. The only resource of its kind, this is a practical guide for MSN project students and DNP capstone students who must plan and organize their clinical projects into quality



proposals. It provides the requisite guidelines for integrating research and best evidence with clearly communicated professional objectives. The book's ""how-to"" approach helps to demystify the organization and packaging of advanced practice clinica

2.

Record Nr.

UNINA9910456947503321

Titolo

Data quality and high-dimensional data analysis [[electronic resource] ] : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.]

Pubbl/distr/stampa

Singapore ; ; Hackensack, NJ, : World Scientific, c2009

ISBN

1-282-44256-2

9786612442568

981-4273-49-X

Descrizione fisica

1 online resource (117 p.)

Altri autori (Persone)

ChanChee-Yong

Disciplina

005.74

025.04

Soggetti

Electronic data processing - Quality control

Database management - Quality control

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"The first International Workshop on Data Quality in Collaborative Information Systems was held in conjunction with the 13th International Conference on Database Systems for Advanced Applications, 19-22nd March, 2008, in New Delhi, India.  The present volume contains the text for four accepted papers and two invited papers presented at the workshop, as well as one additional paper presented at the co-located workshop on analysis of high dimensional descrete data."--Pref.

Nota di bibliografia

Includes author index.

Nota di contenuto

Preface; Organizing Committees; CONTENTS; Genomic Information Quality Qing Liu and Xuemin Lin; DeepDetect: An Extensible System for Detecting Attribute Outliers & Duplicates in XML Qiangfeng Peter Lau, Wynne Hsu, Judice L. Y. Koh and Mong Li Lee; CHARIOT: A



Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorological Data Mark Anthony F. Mateo and Carson Kai-Sang Leung; Assessing Data Quality Within Available Context Jingyu Han, Dawei Jiang and Zhiming Ding; Data Quality for Decision Support - The Indian Banking Scenario Hemalatha Diwakar and Alka Vaidya

An Approach to Cadastral Map Quality Evaluation in the Republic of Latvia Anita JansoneSNP Selection for Psychiatric Disease Association Based on Allele Frequency Plots E.Fuster-Garcia, et al.; Author Index

Sommario/riassunto

Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish.