What is involved in Metadata Repositories
Find out what the related areas are that Metadata Repositories connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Metadata Repositories thinking-frame.
How far is your company on its Metadata Repositories journey?
Take this short survey to gauge your organization’s progress toward Metadata Repositories leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.
To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.
Start the Checklist
Below you will find a quick checklist designed to help you think about which Metadata Repositories related domains to cover and 79 essential critical questions to check off in that domain.
The following domains are covered:
Metadata Repositories, Metadata repository, Centralized database, Data cleansing, Data dictionary, Data modeling, Data structure, Decision support system, Distributed database, Entity-relationship model, ISO/IEC 11179, Logical data model, Master data management, Metadata, Metadata registry, Metadata standards, Object-oriented design:
Metadata Repositories Critical Criteria:
Review Metadata Repositories tactics and devise Metadata Repositories key steps.
– What tools do you use once you have decided on a Metadata Repositories strategy and more importantly how do you choose?
– What are the Key enablers to make this Metadata Repositories move?
– Does our organization need more Metadata Repositories education?
Metadata repository Critical Criteria:
Align Metadata repository results and test out new things.
– Does Metadata Repositories include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist?
– Who are the people involved in developing and implementing Metadata Repositories?
– How do we Lead with Metadata Repositories in Mind?
Centralized database Critical Criteria:
Mine Centralized database results and ask questions.
– What are your key performance measures or indicators and in-process measures for the control and improvement of your Metadata Repositories processes?
– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Metadata Repositories?
Data cleansing Critical Criteria:
Inquire about Data cleansing outcomes and do something to it.
– Is there an ongoing data cleansing procedure to look for rot (redundant, obsolete, trivial content)?
– Do Metadata Repositories rules make a reasonable demand on a users capabilities?
– Have all basic functions of Metadata Repositories been defined?
– What is Effective Metadata Repositories?
Data dictionary Critical Criteria:
Consult on Data dictionary decisions and oversee Data dictionary requirements.
– Do we cover the five essential competencies-Communication, Collaboration,Innovation, Adaptability, and Leadership that improve an organizations ability to leverage the new Metadata Repositories in a volatile global economy?
– Which customers cant participate in our Metadata Repositories domain because they lack skills, wealth, or convenient access to existing solutions?
– In what ways are Metadata Repositories vendors and us interacting to ensure safe and effective use?
– What types of information should be included in the data dictionary?
– Is there a data dictionary?
Data modeling Critical Criteria:
Learn from Data modeling decisions and arbitrate Data modeling techniques that enhance teamwork and productivity.
– How can you negotiate Metadata Repositories successfully with a stubborn boss, an irate client, or a deceitful coworker?
– Is maximizing Metadata Repositories protection the same as minimizing Metadata Repositories loss?
– Does the Metadata Repositories task fit the clients priorities?
Data structure Critical Criteria:
Troubleshoot Data structure risks and budget the knowledge transfer for any interested in Data structure.
– What if the needle in the haystack happens to be a complex data structure?
– Is the process repeatable as we change algorithms and data structures?
– What is our formula for success in Metadata Repositories ?
Decision support system Critical Criteria:
Discuss Decision support system planning and get answers.
– In the case of a Metadata Repositories project, the criteria for the audit derive from implementation objectives. an audit of a Metadata Repositories project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any Metadata Repositories project is implemented as planned, and is it working?
– A heuristic, a decision support system, or new practices to improve current project management?
– Will Metadata Repositories deliverables need to be tested and, if so, by whom?
– Do we have past Metadata Repositories Successes?
Distributed database Critical Criteria:
Troubleshoot Distributed database adoptions and slay a dragon.
– Marketing budgets are tighter, consumers are more skeptical, and social media has changed forever the way we talk about Metadata Repositories. How do we gain traction?
– What systems are similar to or may have influenced Bitcoins eventually consistent distributed database?
– How do we manage Metadata Repositories Knowledge Management (KM)?
Entity-relationship model Critical Criteria:
Align Entity-relationship model risks and transcribe Entity-relationship model as tomorrows backbone for success.
– Consider your own Metadata Repositories project. what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
– How will we insure seamless interoperability of Metadata Repositories moving forward?
– How is the value delivered by Metadata Repositories being measured?
ISO/IEC 11179 Critical Criteria:
Wrangle ISO/IEC 11179 results and budget for ISO/IEC 11179 challenges.
– What management system can we use to leverage the Metadata Repositories experience, ideas, and concerns of the people closest to the work to be done?
Logical data model Critical Criteria:
Check Logical data model engagements and find out what it really means.
– What is the physical data model definition (derived from logical data models) used to design the database?
– What is the source of the strategies for Metadata Repositories strengthening and reform?
– What are the barriers to increased Metadata Repositories production?
– Logical data model available?
Master data management Critical Criteria:
Check Master data management leadership and adjust implementation of Master data management.
– Does Metadata Repositories systematically track and analyze outcomes for accountability and quality improvement?
– What are some of the master data management architecture patterns?
– Why should we use or invest in a Master Data Management product?
– What are the long-term Metadata Repositories goals?
– Why should we adopt a Metadata Repositories framework?
– What Is Master Data Management?
Metadata Critical Criteria:
Use past Metadata decisions and correct Metadata management by competencies.
– In addition to the security of your own customer data, customers should also be concerned about what data the provider collects and how the CSP protects that data. Specifically with regard to your customer data, what metadata does the provider have about your data, how is it secured, and what access do you, the customer, have to that metadata?
– Specifically with regard to your customer data, what metadata does the provider have about your data, how is it secured, and what access do you, the customer, have to that metadata?
– Describe the type of data (e.g. digital, non-digital) and how they will be generated? Are these primary or metadata?
– Is the accountability clearly established for the accuracy and consistency and timeliness of metadata?
– What data do our providers collect -e.g., metadata, and how can this data be secured?
– What tools and technologies are needed for a custom Metadata Repositories project?
– Can the ceo explain the roi for search and metadata?
– How will the metadata be associated with the data?
– Who is responsible for updating the metadata?
– Who is responsible for creating the metadata?
– What format will the data and metadata be in?
– Metadata; is there a metadata strategy?
– Is the metadata cache size acceptable?
– What metadata standard will be used?
– What is our Metadata Repositories Strategy?
– Is there a metadata strategy?
– Can metadata be loaded?
Metadata registry Critical Criteria:
Canvass Metadata registry issues and define what our big hairy audacious Metadata registry goal is.
– In a project to restructure Metadata Repositories outcomes, which stakeholders would you involve?
– Are there Metadata Repositories problems defined?
Metadata standards Critical Criteria:
Analyze Metadata standards outcomes and devise Metadata standards key steps.
– Are the appropriate metadata standards including those for encoding and transmission of metadata information established?
– When a Metadata Repositories manager recognizes a problem, what options are available?
– Are we making progress? and are we making progress as Metadata Repositories leaders?
– Do we all define Metadata Repositories in the same way?
– Which metadata standards will you use?
Object-oriented design Critical Criteria:
Align Object-oriented design failures and stake your claim.
– At what point will vulnerability assessments be performed once Metadata Repositories is put into production (e.g., ongoing Risk Management after implementation)?
– Think about the functions involved in your Metadata Repositories project. what processes flow from these functions?
This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Metadata Repositories Self Assessment:
Author: Gerard Blokdijk
CEO at The Art of Service | http://theartofservice.com
Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.
To address the criteria in this checklist, these selected resources are provided for sources of further research and information:
Metadata Repositories External links:
Metadata Repositories in Health Care Discussion Paper
Metadata repository External links:
Historical Observing Metadata Repository (HOMR) | …
Metadata Repository Information – Informatica Network
Metadata Repository for Enterprise Analytics | …
Centralized database External links:
Centralized Database Management System | ADOA-ASET
Data cleansing External links:
[DOC]Without a data cleansing – University of Oklahoma
Data Cleansing Solution – Salesforce.com
Data dictionary External links:
7 The Data Dictionary – Oracle
Data Dictionary – Adobe Systems
What is a Data Dictionary? – Bridging the Gap
Data modeling External links:
| Peace, Love, Data Modeling
Data modeling (Book, 1995) [WorldCat.org]
[PDF]Course Title: Data Modeling for Business Analysts
Data structure External links:
Data structures – C++ Tutorials
Decision support system External links:
CureMatch Decision Support System For Oncologist to …
[PDF]Decision Support System DSS – 2009
What is Decision Support System | InTechOpen
Distributed database External links:
Distributed database. (Book, 1981) [WorldCat.org]
[PPT]Distributed Database and Replication – San Francisco …
Distributed database systems (eBook, 2009) …
Entity-relationship model External links:
Course Notes for Comp 419 – The Entity-Relationship Model
The Entity-Relationship Model
ISO/IEC 11179 External links:
http://ISO/IEC 11179 (formally known as the ISO/IEC 11179 Metadata Registry (MDR) standard) is an international standard for representing metadata for an organization in a metadata registry. Organizations exchange data between computer systems precisely using enterprise application integration technologies.
Logical data model External links:
Financial Services Logical Data Model | Teradata
Master data management External links:
Best Master Data Management (MDM) Software – G2 Crowd
Master Data Management (MDM) Advisory & Implementation
Metadata External links:
Title metadata – WiiBrew
4.2 Document metadata — HTML5
3 key tips to adding in your site’s metadata | Yola
Metadata registry External links:
ERIC – Distributed Interoperable Metadata Registry; How …
Home – Aristotle Open Metadata Registry
Open Metadata Registry
Metadata standards External links:
List of Metadata Standards | Digital Curation Centre
current operational and proposed metadata standards
List of Metadata Standards | Digital Curation Centre
Object-oriented design External links:
SOLID (object-oriented design) Flashcards | Quizlet