What is involved in Metadata
Find out what the related areas are that Metadata 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 thinking-frame.
How far is your company on its Enterprise Metadata Management journey?
Take this short survey to gauge your organization’s progress toward Enterprise Metadata Management 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 related domains to cover and 214 essential critical questions to check off in that domain.
The following domains are covered:
Metadata, Data remanence, Dimensional modeling, Metadata modeling, Computer science, Uniform Resource Name, Niklaus Wirth, Rapid application development, Entity–relationship model, Cassette tape, Service-oriented architecture, Early-arriving fact, Universal Decimal Classification, HTML editor, Metadata registry, Media clip, Data warehouse automation, Spiral model, Aspect-oriented software development, Extreme programming, Extract, transform, load, Software maintenance, Cataloging Cultural Objects, Software quality assurance, Information schema, Sixth normal form, Dublin Core Metadata Initiative, Computer programming, Data warehouse, Ivar Jacobson, Dublin Core, Call detail record, Search engine, Incremental build model, Unified Process, Computer engineering, Metadata Object Description Schema, Broadcast media, Degenerate dimension, Bertrand Meyer, TV news, Database catalog, Controlled vocabulary, Structured analysis, Business intelligence, National Diet Library, Data Documentation Initiative, GEOMS – Generic Earth Observation Metadata Standard, International Organization for Standardization, Exchangeable image file format, Integrated Authority File, Data extraction, Digital asset management, Database design, Data vault modeling, Olympic Games, Business object:
Metadata Critical Criteria:
Facilitate Metadata quality and attract Metadata skills.
– 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?
– Consider your own Metadata project. what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
– Is it necessary only to make the metadata discoverable, with links to the data files, or is deeper support for manipulating the data needed?
– do not forget to look at the data itself. how can you affect the amount of, quality of, or protection of data and metadata?
– Is the accountability clearly established for the accuracy and consistency and timeliness of metadata?
– Are there hiring and training practices especially for metadata and taxonomy positions?
– What data do our providers collect -e.g., metadata, and how can this data be secured?
– What metadata are needed to make the data you capture or collect meaningful?
– How to use faceted metadata to expand (as opposed to refine)?
– What format will the data and metadata be in?
– Who is responsible for creating the metadata?
– Has autosuggesting metadata been considered?
– Have any metadata methods been identified?
– Is the metadata cache size acceptable?
– Which metadata standards will you use?
– What form will the metadata take?
– How/who will create metadata?
– Can metadata be loaded?
Data remanence Critical Criteria:
Conceptualize Data remanence decisions and describe which business rules are needed as Data remanence interface.
– Do several people in different organizational units assist with the Metadata process?
– What business benefits will Metadata goals deliver if achieved?
Dimensional modeling Critical Criteria:
Concentrate on Dimensional modeling results and integrate design thinking in Dimensional modeling innovation.
– Will Metadata have an impact on current business continuity, disaster recovery processes and/or infrastructure?
– Which individuals, teams or departments will be involved in Metadata?
Metadata modeling Critical Criteria:
Recall Metadata modeling governance and clarify ways to gain access to competitive Metadata modeling services.
– Who will be responsible for deciding whether Metadata goes ahead or not after the initial investigations?
– Who will provide the final approval of Metadata deliverables?
Computer science Critical Criteria:
Deduce Computer science planning and probe Computer science strategic alliances.
– Think about the kind of project structure that would be appropriate for your Metadata project. should it be formal and complex, or can it be less formal and relatively simple?
– What are the disruptive Metadata technologies that enable our organization to radically change our business processes?
– How do we ensure that implementations of Metadata products are done in a way that ensures safety?
Uniform Resource Name Critical Criteria:
Confer over Uniform Resource Name decisions and report on the economics of relationships managing Uniform Resource Name and constraints.
– Does Metadata create potential expectations in other areas that need to be recognized and considered?
– Is there any existing Metadata governance structure?
Niklaus Wirth Critical Criteria:
Bootstrap Niklaus Wirth governance and point out Niklaus Wirth tensions in leadership.
– What new services of functionality will be implemented next with Metadata ?
– Why are Metadata skills important?
Rapid application development Critical Criteria:
Administer Rapid application development strategies and revise understanding of Rapid application development architectures.
– How are we going to realize the benefits of reusability if we keep shrinking the analysis phase?
– Which systems play a pivotal role in an organizations continued operations and goal attainment?
– Schedule feasibility -can the solution be designed and implemented within an acceptable time?
– What new hardware, software, databases or procedures will improve an existing system?
– What sets of objectives are important to our systems development project?
– Are requirements abstract enough and can they change within limits?
– What is a formalized approach for developing a project schedule?
– Technical feasibility -is the solution technically practical?
– What opportunities might a new or enhanced system provide?
– Is there a need to exchange data with other applications?
– Who are the potential users of the new application?
– What are the potential costs (variable and fixed)?
– Is the functionality visible through the uis?
– How do you decide that a system needs rework?
– How time-constrained is the project?
– What is a key aspect of prototyping?
– What are the associated risks?
– What is architected rad?
– How to deal with Metadata Changes?
– Is it applicable?
Entity–relationship model Critical Criteria:
Boost Entity–relationship model quality and test out new things.
– What are your current levels and trends in key measures or indicators of Metadata product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?
– Are we making progress? and are we making progress as Metadata leaders?
– How will you measure your Metadata effectiveness?
Cassette tape Critical Criteria:
Dissect Cassette tape engagements and find answers.
– Think of your Metadata project. what are the main functions?
– What are current Metadata Paradigms?
– How to Secure Metadata?
Service-oriented architecture Critical Criteria:
Have a session on Service-oriented architecture management and suggest using storytelling to create more compelling Service-oriented architecture projects.
– What are the success criteria that will indicate that Metadata objectives have been met and the benefits delivered?
– How do mission and objectives affect the Metadata processes of our organization?
Early-arriving fact Critical Criteria:
Communicate about Early-arriving fact engagements and sort Early-arriving fact activities.
– Who will be responsible for making the decisions to include or exclude requested changes once Metadata is underway?
– What are the top 3 things at the forefront of our Metadata agendas for the next 3 years?
Universal Decimal Classification Critical Criteria:
Familiarize yourself with Universal Decimal Classification results and gather Universal Decimal Classification models .
– Who will be responsible for documenting the Metadata requirements in detail?
– What are the usability implications of Metadata actions?
– Are we Assessing Metadata and Risk?
HTML editor Critical Criteria:
Merge HTML editor leadership and define HTML editor competency-based leadership.
– A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Metadata models, tools and techniques are necessary?
– What are the business goals Metadata is aiming to achieve?
Metadata registry Critical Criteria:
Detail Metadata registry decisions and intervene in Metadata registry processes and leadership.
– For your Metadata project, identify and describe the business environment. is there more than one layer to the business environment?
– How can we incorporate support to ensure safe and effective use of Metadata into the services that we provide?
– Meeting the challenge: are missed Metadata opportunities costing us money?
Media clip Critical Criteria:
Do a round table on Media clip issues and reinforce and communicate particularly sensitive Media clip decisions.
– Why is Metadata important for you now?
Data warehouse automation Critical Criteria:
Map Data warehouse automation strategies and explore and align the progress in Data warehouse automation.
– What are your key performance measures or indicators and in-process measures for the control and improvement of your Metadata processes?
– How can you negotiate Metadata successfully with a stubborn boss, an irate client, or a deceitful coworker?
– What vendors make products that address the Metadata needs?
Spiral model Critical Criteria:
Trace Spiral model tactics and be persistent.
– What management system can we use to leverage the Metadata experience, ideas, and concerns of the people closest to the work to be done?
– How do we know that any Metadata analysis is complete and comprehensive?
– What are the Key enablers to make this Metadata move?
Aspect-oriented software development Critical Criteria:
Think about Aspect-oriented software development adoptions and secure Aspect-oriented software development creativity.
– Think about the functions involved in your Metadata project. what processes flow from these functions?
– Do the Metadata decisions we make today help people and the planet tomorrow?
– How do we go about Securing Metadata?
Extreme programming Critical Criteria:
Meet over Extreme programming quality and define Extreme programming competency-based leadership.
– What are our needs in relation to Metadata skills, labor, equipment, and markets?
– Have you identified your Metadata key performance indicators?
– How Extreme Does Extreme Programming Have to Be?
– How is the value delivered by Metadata being measured?
– When using Extreme Programming?
– What Is Extreme Programming?
Extract, transform, load Critical Criteria:
Adapt Extract, transform, load quality and diversify disclosure of information – dealing with confidential Extract, transform, load information.
– Who are the people involved in developing and implementing Metadata?
– What are the barriers to increased Metadata production?
– What is Effective Metadata?
Software maintenance Critical Criteria:
Match Software maintenance tasks and stake your claim.
– If the path forward waits until a new generation of devices essentially replaces an old generation of devices which could be somewhere between 5 and 15 years, what does the path forward look like for the legacy devices and their software maintenance?
– What are your results for key measures or indicators of the accomplishment of your Metadata strategy and action plans, including building and strengthening core competencies?
– How do you determine the key elements that affect Metadata workforce satisfaction? how are these elements determined for different workforce groups and segments?
Cataloging Cultural Objects Critical Criteria:
Conceptualize Cataloging Cultural Objects tactics and devote time assessing Cataloging Cultural Objects and its risk.
– What will be the consequences to the business (financial, reputation etc) if Metadata does not go ahead or fails to deliver the objectives?
– Why is it important to have senior management support for a Metadata project?
– What is the purpose of Metadata in relation to the mission?
Software quality assurance Critical Criteria:
Meet over Software quality assurance engagements and correct Software quality assurance management by competencies.
– Does the software Quality Assurance function have a management reporting channel separate from the software development project management?
– Are software Quality Assurance tests a part of the general hardware acceptance test on the customers machine before it leaves the factory?
– Do software Quality Assurance test programs undergo the same production cycle and method (except q/a) as the software they test?
– Is software Quality Assurance done by an independently reporting agency representing the interests of the eventual user?
– Is at least one person engaged in software Quality Assurance for every ten engaged in its fabrication?
– What are the best practices for software quality assurance when using agile development methodologies?
– What prevents me from making the changes I know will make me a more effective Metadata leader?
– How can you measure Metadata in a systematic way?
Information schema Critical Criteria:
Win new insights about Information schema governance and report on developing an effective Information schema strategy.
Sixth normal form Critical Criteria:
Survey Sixth normal form quality and do something to it.
– Is maximizing Metadata protection the same as minimizing Metadata loss?
– Does Metadata analysis isolate the fundamental causes of problems?
– What are specific Metadata Rules to follow?
Dublin Core Metadata Initiative Critical Criteria:
Add value to Dublin Core Metadata Initiative tactics and raise human resource and employment practices for Dublin Core Metadata Initiative.
– To what extent does management recognize Metadata as a tool to increase the results?
– Do we have past Metadata Successes?
Computer programming Critical Criteria:
Accommodate Computer programming decisions and suggest using storytelling to create more compelling Computer programming projects.
– Have all basic functions of Metadata been defined?
Data warehouse Critical Criteria:
Consult on Data warehouse failures and change contexts.
– What tier data server has been identified for the storage of decision support data contained in a data warehouse?
– What does a typical data warehouse and business intelligence organizational structure look like?
– Does big data threaten the traditional data warehouse business intelligence model stack?
– Who is the main stakeholder, with ultimate responsibility for driving Metadata forward?
– Is data warehouseing necessary for our business intelligence service?
– Is Data Warehouseing necessary for a business intelligence service?
– What is the difference between a database and data warehouse?
– What is the purpose of data warehouses and data marts?
– How do we manage Metadata Knowledge Management (KM)?
– What are alternatives to building a data warehouse?
– Do we offer a good introduction to data warehouse?
– Do you still need a data warehouse?
– Centralized data warehouse?
Ivar Jacobson Critical Criteria:
Nurse Ivar Jacobson strategies and interpret which customers can’t participate in Ivar Jacobson because they lack skills.
– Do Metadata rules make a reasonable demand on a users capabilities?
– How would one define Metadata leadership?
Dublin Core Critical Criteria:
Graph Dublin Core failures and shift your focus.
– Is there an organization-wide metadata standard, such as an extension of the dublin core, for use by search tools, multiple repositories, etc.?
– Has the semantic interoperability been ensured through schema mapping or using established standards like NISO, DoD, Dublin Core?
– What knowledge, skills and characteristics mark a good Metadata project manager?
– What is the source of the strategies for Metadata strengthening and reform?
– Why should we adopt a Metadata framework?
Call detail record Critical Criteria:
Depict Call detail record leadership and assess and formulate effective operational and Call detail record strategies.
– Do we cover the five essential competencies-Communication, Collaboration,Innovation, Adaptability, and Leadership that improve an organizations ability to leverage the new Metadata in a volatile global economy?
– what is the best design framework for Metadata organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant?
– Can we add value to the current Metadata decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?
Search engine Critical Criteria:
Generalize Search engine adoptions and document what potential Search engine megatrends could make our business model obsolete.
– What are 3rd party licenses integrated with the current CRM, for example Email Marketing, Travel Planner, e-newsletter, search engine, surveys, reporting/trend analysis, e-Commerce, etc.?
– What are 3rd party licenses integrated, for example Email Marketing, Travel Planner, e-newsletter, search engine, surveys, reporting/trend analysis, e-Commerce, etc.?
– What will your search engine be able to display besides just the titles of retrieved documents?
– Does the search engine integrate with the taxonomy to improve searches and organize results?
– Does your site have enough content to merit the use of a search engine?
– How can we improve Metadata?
Incremental build model Critical Criteria:
Distinguish Incremental build model adoptions and learn.
– At what point will vulnerability assessments be performed once Metadata is put into production (e.g., ongoing Risk Management after implementation)?
– How will we insure seamless interoperability of Metadata moving forward?
– What are internal and external Metadata relations?
Unified Process Critical Criteria:
Guide Unified Process results and find answers.
Computer engineering Critical Criteria:
Refer to Computer engineering visions and grade techniques for implementing Computer engineering controls.
Metadata Object Description Schema Critical Criteria:
Grade Metadata Object Description Schema engagements and create Metadata Object Description Schema explanations for all managers.
Broadcast media Critical Criteria:
Adapt Broadcast media strategies and assess and formulate effective operational and Broadcast media strategies.
– Which customers cant participate in our Metadata domain because they lack skills, wealth, or convenient access to existing solutions?
– Among the Metadata product and service cost to be estimated, which is considered hardest to estimate?
Degenerate dimension Critical Criteria:
Meet over Degenerate dimension decisions and catalog Degenerate dimension activities.
Bertrand Meyer Critical Criteria:
Investigate Bertrand Meyer goals and look in other fields.
– How do your measurements capture actionable Metadata information for use in exceeding your customers expectations and securing your customers engagement?
– Are there Metadata Models?
TV news Critical Criteria:
Explore TV news engagements and display thorough understanding of the TV news process.
– How do we measure improved Metadata service perception, and satisfaction?
Database catalog Critical Criteria:
Communicate about Database catalog leadership and budget the knowledge transfer for any interested in Database catalog.
Controlled vocabulary Critical Criteria:
Read up on Controlled vocabulary outcomes and raise human resource and employment practices for Controlled vocabulary.
– Are accountability and ownership for Metadata clearly defined?
Structured analysis Critical Criteria:
Trace Structured analysis risks and report on setting up Structured analysis without losing ground.
– Who sets the Metadata standards?
Business intelligence Critical Criteria:
Think carefully about Business intelligence issues and get the big picture.
– What are the potential areas of conflict that can arise between organizations IT and marketing functions around the deployment and use of business intelligence and data analytics software services and what is the best way to resolve them?
– Research reveals that more than half of business intelligence projects hit a low degree of acceptance or fail. What factors influence the implementation negative or positive?
– Does the software let users work with the existing data infrastructure already in place, freeing your IT team from creating more cubes, universes, and standalone marts?
– Does your mobile solution allow you to interact with desktop-authored dashboards using touchscreen gestures like taps, flicks, and pinches?
– What is the difference between Key Performance Indicators KPI and Critical Success Factors CSF in a Business Strategic decision?
– How should a complicated business setup their business intelligence and analysis to make decisions best?
– Do we have trusted vendors to guide us through the process of adopting business intelligence systems?
– Why does animosity endure between IT and business when it comes to business intelligence?
– What statistics should one be familiar with for business intelligence and web analytics?
– What are the most common applications of business intelligence BI technology solutions?
– Does your software facilitate the setting of thresholds and provide alerts to users?
– What documentation is provided with the software / system and in what format?
– What is the difference between business intelligence and business analytics?
– What specialized bi knowledge does your business have that can be leveraged?
– What are some software and skills that every Data Scientist should know?
– What tools are there for publishing sharing and visualizing data online?
– Does your BI solution require weeks or months to deploy or change?
– What are the top trends in the business intelligence space?
– Is your bi software easy to understand?
– How can we maximize our BI investments?
National Diet Library Critical Criteria:
Map National Diet Library governance and develop and take control of the National Diet Library initiative.
– Where do ideas that reach policy makers and planners as proposals for Metadata strengthening and reform actually originate?
Data Documentation Initiative Critical Criteria:
Nurse Data Documentation Initiative management and suggest using storytelling to create more compelling Data Documentation Initiative projects.
– What are the record-keeping requirements of Metadata activities?
– How can the value of Metadata be defined?
GEOMS – Generic Earth Observation Metadata Standard Critical Criteria:
Contribute to GEOMS – Generic Earth Observation Metadata Standard planning and ask questions.
– What are all of our Metadata domains and what do they do?
International Organization for Standardization Critical Criteria:
Troubleshoot International Organization for Standardization governance and interpret which customers can’t participate in International Organization for Standardization because they lack skills.
– Does Metadata analysis show the relationships among important Metadata factors?
Exchangeable image file format Critical Criteria:
Collaborate on Exchangeable image file format failures and suggest using storytelling to create more compelling Exchangeable image file format projects.
– What other jobs or tasks affect the performance of the steps in the Metadata process?
Integrated Authority File Critical Criteria:
Wrangle Integrated Authority File quality and mentor Integrated Authority File customer orientation.
– Record-keeping requirements flow from the records needed as inputs, outputs, controls and for transformation of a Metadata process. ask yourself: are the records needed as inputs to the Metadata process available?
Data extraction Critical Criteria:
Explore Data extraction engagements and use obstacles to break out of ruts.
– How can data extraction from dashboards be automated?
Digital asset management Critical Criteria:
Be clear about Digital asset management planning and don’t overlook the obvious.
– When a Metadata manager recognizes a problem, what options are available?
– What are the Essentials of Internal Metadata Management?
Database design Critical Criteria:
Grasp Database design adoptions and explain and analyze the challenges of Database design.
– Rapid application development (rad) techniques have been around for about two decades now and have been used with varying degrees of success. sometimes rad is required for certain projects. but rad can be bad for database design. why?
– How do we keep improving Metadata?
– Is the scope of Metadata defined?
Data vault modeling Critical Criteria:
Be clear about Data vault modeling visions and create Data vault modeling explanations for all managers.
– What sources do you use to gather information for a Metadata study?
Olympic Games Critical Criteria:
Pilot Olympic Games planning and report on the economics of relationships managing Olympic Games and constraints.
Business object Critical Criteria:
Disseminate Business object outcomes and create a map for yourself.
– Where should the organization enhance its Risk Management processes to have maximum benefit and impact on its ability to achieve business objectives?
– How does Tableau stack up against the traditional BI software like Microstrategy or Business Objects?
– Verify business objectives. Are they appropriate, and well-articulated?
– Is our Cybersecurity strategy aligned with our business objectives?
This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Enterprise Metadata Management Self Assessment:
Author: Gerard Blokdijk
CEO at The Art of Service | 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:
Data remanence External links:
[PDF]Low temperature data remanence in static RAM
Dimensional modeling External links:
HEC-RAS: Two-Dimensional Modeling – WEST Consultants
Three-Dimensional Modeling | 3-D model | COST of …
[PDF]Dimensional Modeling 101 – Purdue University – …
Metadata modeling External links:
“A metadata modeling approach to database …
Computer science External links:
UIC Computer Science
Department of Computer Science
Computer Science Department at Princeton University
Uniform Resource Name External links:
RFC 5031 – A Uniform Resource Name (URN) for Emergency …
Uniform Resource Name definitions – Defined Term
Rapid application development External links:
RAD (rapid application development) – Gartner IT Glossary
Rapid Application Development (RAD) Studio
RAD – Rapid Application Development
Cassette tape External links:
Cassette Tape and CD Player with Radio | CFD-S70 | Sony US
Cassette Tape Recorder | eBay
Early-arriving fact External links:
Early-arriving fact – Revolvy
Universal Decimal Classification External links:
Universal decimal classification. (Book, 1943) …
Universal Decimal Classification – clockify.store
HTML editor External links:
Online HTML Editor (Free)
Online HTML Editor
Online HTML Editor – Full – Quackit
Metadata registry External links:
ERIC – Distributed Interoperable Metadata Registry; How …
Open Metadata Registry
Media clip External links:
Tubelite Store » BT1011 Multi Media Clip
Social Media Clip Art, Vector Images & Illustrations – iStock
Media Clip Art, Vector Images & Illustrations – iStock
Data warehouse automation External links:
biGENiUS – Data Warehouse Automation
Spiral model External links:
Create Spiral Model in PowerPoint Easily
Extreme programming External links:
What is Extreme Programming (XP)? | Agile Alliance
Mega Man Next Remix Demo [Part 1] – Extreme Programming
AgileFAQs – Expert Agile, Scrum, eXtreme Programming …
Extract, transform, load External links:
What is ETL (Extract, Transform, Load)? Webopedia Definition
Cataloging Cultural Objects External links:
CCO PDF version – CCO Commons – Cataloging Cultural Objects
[PDF]Cataloging Cultural Objects – University at Buffalo
Software quality assurance External links:
Software Quality Assurance Plan | Department of Energy
Software Quality Assurance Engineers & Testers at My Next Move
Sixth normal form External links:
sql – design – sixth normal form – Stack Overflow
On the Sixth Normal Form – Anchor Modeling
Sixth normal form – Infogalactic: the planetary knowledge core
Dublin Core Metadata Initiative External links:
Dublin Core Metadata Initiative – DC Metadata Element …
[DOC]Dublin Core Metadata Initiative – Columbia University
Dublin Core Metadata Initiative – OCLC
Computer programming External links:
Computer Programming Degrees and Certificates – …
Computer programming | Computing | Khan Academy
Computer Programming, Robotics & Engineering – STEM For Kids
Data warehouse External links:
HRSA Data Warehouse Home Page
[PDF]Data Warehouse – Utility’s Smart Grid Clearinghouse
smartgrid.epri.com/UseCases/DW – Utility DOE SG Clearhouse_ph2add.pdf
Ivar Jacobson External links:
Ivar Jacobson International – Home | Facebook
Ivar Jacobson Profiles | Facebook
Ivar Jacobson International
Dublin Core External links:
Dublin Core and the Cataloguing Rules: Example 7
[PDF]Dublin Core Metadata Guide** Indiana Memory Project
15 Dublin Core Element Attributes – Minnesota
Call detail record External links:
Call Detail Records – FusionPBX
FREE Call Detail Record Tracker-CDR Tracker | SolarWinds
Search engine External links:
Ingredient Search & Raw Materials Search Engine | Prospector
Incremental build model External links:
Incremental Build Model (Animation Project) – YouTube
Unified Process External links:
When Should We Use Rational Unified Process? – Quora
CDC UP | Home Page of the CDC Unified Process
Standards, compliance, and Rational Unified Process – IBM
Computer engineering External links:
Electrical and Computer Engineering | Virginia Tech
Department of Electrical & Computer Engineering …
Electrical and Computer Engineering (NDSU)
Metadata Object Description Schema External links:
MODS: Metadata Object Description Schema – …
Metadata Object Description Schema – Official Site
Broadcast media External links:
Broadcast Media (2014) – IMDb
Home | ES Broadcast Media
Broadcast Media – RMIT University
Degenerate dimension External links:
Data Warehousing: What is degenerate dimension? – …
Degenerate Dimension – YouTube
Bertrand Meyer External links:
Bertrand Meyer Profiles | Facebook
Bertrand Meyer – The Mathematics Genealogy Project
TV news External links:
The Daily Dish | Bravo TV News
WJAC-TV News – Home | Facebook
Database catalog External links:
AWIPS Map Database Catalog – Public Forecast Zones
– Biometrics Research Database Catalog
AWIPS Map Database Catalog – Public Forecast Zones
Controlled vocabulary External links:
ERIC – The Controlled Vocabulary–A Reexamination., …
What Is A Controlled Vocabulary? « Boxes and Arrows
I Can Read It! Books | Controlled Vocabulary Books | Sonlight
Structured analysis External links:
What is Structured Analysis? – Definition from Techopedia
Business intelligence External links:
[PDF]Position Title: Business Intelligence Analyst – ttra
Business Intelligence & Analytics, BI Software – Birst
List of Business Intelligence Skills – The Balance
National Diet Library External links:
National Diet Library law. (Book, 1961) [WorldCat.org]
Online Gallery | National Diet Library
Data Documentation Initiative External links:
A tour of the DDI: The Data Documentation Initiative
International Organization for Standardization External links:
ISO – International Organization for Standardization
MDMC – International Organization for Standardization …
ISO – International Organization for Standardization
Exchangeable image file format External links:
[PDF]Exchangeable image file format for digital still …
Integrated Authority File External links:
MEDLARS indexing: integrated authority file
Data extraction External links:
Data Extraction – iMacros
NeXtraction – Intelligent Data Extraction
TeamBeam – Meta-Data Extraction from Scientific Literature
Digital asset management External links:
Digital Asset Management Software | MediaBeacon
Digital asset management – video management made easy …
Digital Asset Management with unlimited storage | Swivle
Database design External links:
[PDF]Title: Database Design – UDC CSIT
Custom Internet Database Design-Build Engineering …
Data vault modeling External links:
Data Vault Modeling and Snowflake | Snowflake
[PDF]Data Vault Modeling – NYOUG
Olympic Games External links:
Ancient Olympics – the first Olympic Games in Greece
First modern Olympic Games – Apr 06, 1896 – HISTORY.com
Business object External links:
[PDF]Quick Reference Card – Business Objects Change …
[PDF]Business Objects Report Writing Guide – CMS Net