strategies for web based data dissemination a strategy is a plan of action designed to achieve a...
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![Page 1: Strategies for web based data dissemination A strategy is a plan of action designed to achieve a vision - from Greek "στρατηγία" (strategia). Zoltan Nagy](https://reader038.vdocuments.net/reader038/viewer/2022110304/551b8676550346d6338b5977/html5/thumbnails/1.jpg)
Strategies for web based data dissemination
A strategy is a plan of action designed to achieve a vision - from Greek "στρατηγία" (strategia).
Zoltan Nagy – Statistics Division, Department of Economic and Social affairs, United Nations
United Nations Regional Workshop on Data Dissemination and Communication
Rio de Janeiro, Brazil, 5 - 7 June 2013
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Existing Strategies
Fundamental Principles of Official Statistics“statistics that meet the test of practical utility are to be compiled and made available on an impartial basis by official statistical agencies to honor citizens' entitlement to public information”
Handbook of Statistical OrganizationsNational Strategies for the Development of
Statistics (NSDS)The Generic Statistical Business Process Model
(GSBPM)
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Data dissemination = communication
Policy makingProfessionals & publicCOMMUN
ICATION
COMMUN
ICATION
COMMUNICATION
COMMUNICATION
Analysis & research
Statistical needs and education
Knowledge based society
Policy accountability
Analysis & assessment
Policy options
Policy decisions
Policy validations
INDEPENDENT OFFICIAL STATISTICS
ECONOMIC AND SOCIAL PROGRESS
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The importance of web-based data-dissemination
Everyone who has access to internet is becoming a potential user of statistics.
From 2008 to 2013 the number of Internet users grows by 67%
Forget the last war.
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Identifying users
User groups Decision makers (government at central and local level, businesses) Academia (institution that use, research and analyze data) Educational (primary, secondary, tertiary) Public at large
Tourists Harvesters and (data) Miners
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Tourists
Novice or infrequent users, and typically make up the majority of individual users.
Looking for basic data either out of curiosity, or to inform personal decisions.
Want to be able to find and view data quickly and easily, they prefer low levels of complexity and need only limited functionality.
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Harvesters
Intermediate and fairly frequent users, who are looking for data to inform basic research or economic decisions.
They will accept increased complexity if it results in addition functionality and flexibility in the way they can view and download data.
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(Data) Miners
Expert users, typically small in number, but using large volumes of data on a regular basis, often for detailed research or analysis.
They want simplicity, easy downloads functionality and flexibility, take data offline
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A new type - Builders
Experts that want to reuse statistical data without copying or downloading it.
Requesting ability to access data servers at 24/7 and feed data to maps, visualizations and other applications.
Web services - interoperable machine-to-machine interaction over a network".
Mashups – hybrid web applications Visualizations Mappings Data aggregators
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Defining the content
Data Topic – domain specific or across-domain Coverage – geographical and time Aggregation level - micro and macro data Nature of the data – tables, tabulations, time-series,
datapoints
Documentation Metadata (descriptive and structural) Methodologies and standards Classifications Best practices, business processes, etc.
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Subscription models
Registration No registration required Registration required (provides better tracking,
communication etc)
Subscription Free (preferred by many countries) For fee (cost recovery, profit, one-time, periodical,
service based ) Multi-tier (free basic and for fee premium services)
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User management
User access (registered vs unregistered users)
User support, helpdeskUser surveys (online polling)User activity tracking
Web server statistics Analytic services (Google analytics) Custom built tracking services
Social networking (Facebook, Twitter..)
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Site administration
Data Management Data correction facility Data upload facility Data availability
Metadata Management Structural metadata Descriptive metadata Data upload calendar
Management Reporting
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Resource allocation
+Data dissemination group(Centralized or Decentralized)
+Systems/Application development+Hardware and software requirements+Long-term maintenance+Operation+Helpdesk--------------------------------------------------= TOTAL COST OF OWNERSHIP (TCO)
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Content delivery
Bandwidth conservationBrowser considerations
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Mobile devices
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Software platform and architecture
Off-the-shelf productsCustom development (in-house, outsourcing)
Open source platformsProprietary platforms
Self hostingOutsourced hosting
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Design considerations
Simplicity and ease of useEasy of navigationBookmarkingSearchability
Drill down Dimensional search Full text search
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Conclusions
One size does not fit allWeb-based data dissemination should work as
a two way communicationFocus has to be on users who frequently visit
our sitesThe maintenance of web-based data-
dissemination products is a long term commitment
We have to be aware of TCO