Metadata Quality
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Presentation for Metadata Working Group at Cornell. Based on book chapter (with Diane Hillmann) in "Metadata in Practice". For some reason it has become unexpectedly citable.
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This document summarizes a discussion on metadata and content management systems. The discussion examined the value of metadata for effective information retrieval, potential problems with metadata like inconsistent standards and fields, and ways to safeguard against those problems. It also considered where metadata should be stored (embedded, centralized database, or both) and who should be responsible for creating and maintaining metadata (content creators, webmasters, librarians, etc.). Finally, it briefly discussed how content management systems could help address issues around metadata and content management.
Assessment item 1Understanding the ProblemValue 10Submis.docx
Assessment item 1
Understanding the Problem
Value:
10%
Submission method options
Alternative submission method
Task
Background:
The Commonwealth Government of Australia is launching ‘My Health Record’ a secure online summary of an individual’s health information.
Available to all Australians, My Health Record is an electronic summary of an individual’s key health information, drawn from their existing records and is designed to be integrated into existing local clinical systems.
The ‘My Health Record’ is driven by the need for the Health Industry to continue a process of reform to drive efficiencies into the health care system, improve the quality of patient care, whilst reducing several issues that were apparent from the lack of important information that is shared about patients e.g. reducing the rate of hospital admissions due to issues with prescribed medications. This reform is critical to address the escalating costs of healthcare that become unsustainable in the medium to long term.
Individuals will control what goes into their My Health Record, and who is allowed to access it. An individual’s My Health Record allows them and their doctors, hospitals and other healthcare providers to view and share the individual’s health information to provide the best possible care.
*Please Note: This is a real project that has already been implemented, however, for this assessment you are to write your answer as if the project is in its’ the early stages. There is wide variety of information that can be referenced on this topic.
Complete the Following
You are a Systems Analyst that is part of a project that is being currently being proposed, ‘My Health Record’, your task is to develop a Vision Document for this project.
Currently funding is being sought to build the ‘My Health Record’ system. We will assume that the funding has been approved and that you are the business systems analyst assigned to the project.
You are to describe the problem in your own words, and the capabilities and benefits. You need to create a Project Vision Document which contains:
Problem
Capabilities
Benefits
Specific analysis techniques have not been taught yet, so this assignment does not require technical descriptions.
Online submission via Turnitin is required for this assignment. Details will be provided by your subject lec
turer in the class or by notification in the subject site.
Rationale
This assignment has been designed to allow students to test and demonstrate their topic understanding related to:
the context of an information system;
the processes in systems analysis;
the approaches in systems analysis
Marking criteria
Level Attained
Criteria
STANDARDS
High Distinction
Distinction
Credit
Pass
Fail
1. Content of the Vision Document
Maximum
4 Marks
Demonstrates breadth and depth of understanding and has insights and awareness of deeper more subtle aspects of the topic content. Evidence of having researched/read more widely beyond the core materials.
Angels_in_our_Midst
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The Process of Qualitative Research Methods
This document outlines the process of qualitative research methods. It discusses determining research questions and purpose, selecting a topic, developing a theory or worldview, collecting and analyzing data through coding emerging themes and developing hypotheses. It emphasizes iterative analysis and interpreting findings by telling the overall story while accounting for researcher perspective and ensuring dependability, confirmability and potential transferability.
FOCUSING YOUR RESEARCH EFFORTS Planning Your Research
FOCUSING YOUR RESEARCH
EFFORTS
Planning Your Research Project Chapter Four
What is the Research Design?
The research design is the general strategy that
provides the overall structures for the procedures
used in the research project. It is the planning
guide.
The Basic Format of the Research
Design
The question
The question converted to a research problem
A temporary hypothesis
Literature search
Data collection
Organization of the data
Analysis of the data
Interpretation of the data
The data either support or do not support the
hypothesis
Planning vs. Methodology
The general approach
to planning research is
similar across all
disciplines
The strategies used to
collect and analyze
data may be specific
to a particular
academic discipline
Research Planning Research Methodology
General Criteria for a Research Project
Universality (can be carried out by any competent
researcher)
Replication
Control (important for replication)
Measurement
The Nature and Role of Data
Data (plural) ‘data are’
Data ARE NOT absolute reality
Data are transient and ever changing
Primary Data are closest to truth
No researcher can glimpse ABSOLUTE TRUTH
Criteria for the Admissibility of Data
Any research effort should be replicable
Restrictions we identify are the criteria for the
admissibility of data
Standardize the data
Planning for Data Collection
What data are needed?
Where is the data located?
How will data be obtained?
How will data be interpreted?
Defining Measurement
Measurement is limiting the data of any
phenomenon – substantial or insubstantial – so that
those data may be interpreted and ultimately
compared to a particular qualitative or quantitative
standard
Measurement is ultimately a comparison: a think or
concept measured against a point of limitation
Types of Measurement Scales
Nominal Scales
Ordinal Scales
Interval Scales
Ratio Scales
Nominal Scales
A nominal scale limits the data
Nominal measurement is simplistic, but it does divide
data into discrete categories that can be compared
to one another.
Only a few statistical procedures are appropriate
for analyzing nominal data (a) mode, (b)
percentage, and (c) chi-square test
Ordinal Scales
Ordinal scales allow us to rank-order data
In addition to using statistics we can use with
nominal data, we can also use statistical procedures
to determine (a) the median, (b) the percentile rank,
and (c) Spearman’s rank order correlation
Interval Scales
An interval scale is characterized by two features:
(a) it has equal units of measurement, and (b) its
zero point has been established arbitrarily
Interval scales allow statistical analyses that are not
possible with nominal and ordinal data
Because an interval scale reflects equal distances ...
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Metadata En Croûte: How to make metadata more appetizing to decision makers
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FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...
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The Role of Families and the Community Proposal Template (N.docx
The Role of Families and the Community Proposal Template
(
Name of Presenter:
Focus of proposed presentation:
Age group your proposal will focus on:
)
Proposal Directions: Please complete each of the following sections of the proposal in order to demonstrate your competency in the area of the role that families and the community play in promoting optimal cognitive development. In each box, address the topic that is presented. The space for sharing your knowledge will expand with your text, so please do not feel limited by the space that is currently showing.
Explain how theory can influence the choices parents make when promoting their child’s cognitive development abilities for your chosen age group. Use specific examples from one theory of cognitive development that has been discussed this far in the course.
Explain how the environment that families create at home helps promote optimal cognitive development for your chosen age group. Provide at least two strategies that you would encourage parents to foster this type of environment.
Discuss the role that family plays in developing executive functions for your chosen age group. Provide at least two strategies that you suggest parents use to help foster the development of executive functions.
Examine the role that family plays in memory development for your chosen age group. Provide at least strategies parents can use to support memory development.
Examine the role that family plays in conceptual development for your chosen age group. Use ideas from your response to the Week 3 Discussion 1 forum to provide at least two strategies families can use to support development in this area.
Explain at least two community resources that would suggest families use to support the cognitive development of their children for your chosen age group.
Analyze of the role that you would play in helping to support families within your community to promote optimal cognitive development for your chosen age group.
Running Head: MINI-PROJECT: QUALITATIVE ANALYSIS 1
MINI-PROJECT: QUALITATIVE ANALYSIS 6
Mini-Project: Qualitative Analysis
Student’s Name
Institutional Affiliation
MINI-PROJECT: QUALITATIVE ANALYSIS
Introduction
It is important for qualitative data to be analyzed and the themes that emerge identified so that the data can be presented in a way that is understandable. Theme identification is an essential task in qualitative research and themes could mean abstract, often fuzzy, constructs which investigators identify before, during, and after data collection. I will discuss the themes that emerge from the data collected from the interview.Analyzing and presenting qualitative data in an understandable manner is a five step procedure that I will also explain in this paper.
Emergi ...
Isabelle Reiss - Interoperability, visibility, credibility
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Metadata Quality
- 1. Metadata quality It’s the realization of my aspiration. I hope to play along with the heartiest gadgetry manifesting my sensibility. So, I can not help being particular about the every surroundings. -- haiku, sorta, found on a Sanyo appliance box.
Editor's Notes
- What you’re about to hear is taken from a paper that Diane Hillmann and I did on metadata quality, which is appearing as a chapter in the book “Metadata in Practice”, which will appear later this summer. The book was edited by Diane and by Elaine Westbrooks, and has many contributors in this room -- I have known Diane for almost 17 years, and when she asked me to work on this chapter I had some rather profound misgivings. First of all, I didn’t know anything about the subject matter. Second, I was worried that Diane’s somewhat shy and retiring personality might be overwhelmed by my more aggressive approach. But then I realized that Diane had the same worry. Today I want to deconstruct the paper a little bit and skip over a bunch of introductory material about the somewhat dismal history of quality pursuits in the library community, and touch only briefly on the reasons why an ongoing conversation about metadata quality is both important and difficult – I think most people in this room know that. Briefly, t’s important because We are putting new stress on metadata, in both senses of the word. Stress in the sense of emphasis because there’s a dawning realization that quality metadata is not a luxury but is in fact essential to information discovery. Stress in the sense of strain or tension because the dissemination environment is joyfully uncontrolled, which places a real burden on specialist communities that may or may not be experienced in making their information available to others outside the community. There are some ways in which inexperience ordinarily shows itself when these communities start putting information out for general consumption. The most basic form of neglect is failing to consider information discovery issues, or for that matter audience, at all, though mercifully that’s receding everywhere except in the legal-information community. Another is the failure to learn from others – that is, to assume that specialist data is so unlike anything else that there’s nothing to be learned in the way of general approaches or best practices. Finally, there’s the altruism problem – the idea that things done with outsiders in mind are expensive and hence are the first to be thrown overboard when the boat needs lightening. But that’s not all. First, quality brings costs, and can be prohibitively expensive. Second, and I know this will come as a surprise to everyone here, discussions of quality have occasionally been known to devolve into a lot of holier-than-thou politicking that ends up insisting on standards that can’t reasonably be implemented. When I die and go to hell, they’ll make me work on a standards committee for pitchforks.