Iaos From Data Access To Data Integration
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1) Statistics Denmark provides statistical data and analysis through publications, its StatBank database, and other online resources. 2) StatBank contains over 2,000 tables with billions of data points and allows users to access metadata, definitions, documentation and perform queries and downloads. 3) Statistics Denmark is shifting its focus to better meet user needs through improved response time, search functionality, visualizations, and integration with other systems.
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This document provides an overview of data collection for cultural projects. It discusses why data is important, how to choose data for a project, sources of data like statistics offices, open data portals, and cultural ministries. Students are instructed to create a country profile and SWOT analysis by collecting data from sources like Eurostat, OECD, UNESCO and primary reports. The document emphasizes reading widely from various sources and checking data quality.
StatDCAT-Application Profile: presentation
Presentation of SEMIC on StatDCAT-AP at SemStats 2016 conference.
Demonstration on StatDCAT-AP which aims at enhancing interoperability between descriptions of statistical data sets within the statistical domain and between statistical data (e.g. Eurostat) and open data portals (e.g. European Data Portal).
Paul Davidson – Opening up public data to improve transparancy and efficiency
Paul Davidson – Opening up public data to improve transparancy and efficiencyCorvé Open Government Preconference 2010
This document discusses opening up public data to improve transparency and efficiency. It defines public data and outlines principles for publishing public data, such as making it reusable, machine-readable, and available through a single access point. It also provides examples of data that local councils could publish, such as information on communities, businesses, locations, and council services, finances, and performance. Finally, it discusses standards and architectures for aggregating and sharing public data across different areas in a consistent and reusable way.From E-Government to Open Government
This document discusses the transition from e-government to open government. It begins by defining e-government and describing Austria's implementation of e-government systems. Drivers of change like digitization, mobility and connectivity are pushing governments toward more openness. Current topics discussed include the integration of internal and external services, open data, and smart cities. The document advocates for fields of action like digital governance frameworks, open data portals, governance models, legal frameworks and interoperability to advance open government.
Permanent access to digital material
Presentació de la Barbara Sierman (National Library of the Netherlands) a les jornades "Biblioteques patrimonials: conservant el futur, construint el passat"
organitzades per la Biblioteca de l’Ateneu Barcelonès el 24 de novembre de 2010
Trusted Smart Statistics
The document discusses the need for statistical organizations to adopt a "Trusted Smart Statistics" approach to keep up with data availability and user expectations in today's digital world. It outlines several Eurostat initiatives exploring new data sources like web scraping, mobile network data, smart meter data, and earth observation to produce statistical outputs. These initiatives require developing new methodological frameworks that can process diverse data sources while maintaining privacy, transparency, and trust in official statistics.
Ontology Engineering at Scale for Open City Data Sharing
Seminar at the School of Informatics, The University of Edinburgh.
In this talk we will present how we are applying ontology engineering principles and tools for the development of a set of shared vocabularies across municipalities in Spain, so that they can start homogenising the generation and publication of open data that may be useful for their own internal reuse as well as for third parties who want to develop applications reusing open data once and deploy them for all municipalities. We will discuss on the main challenges for ontology engineering that arise in this setting, as well as present the work that we have done to integrate ontology development tools into common software development infrastructure used by those who are not experts in Ontology Engineering.
Knowledge Engineering, Electronic Government and the applications to Scientom...
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Presentation of the SC6 Pilot within the BDE Project presented by Michalis Vafopoulos at the SC6 Workshop held on the 5th of December at Cologne.
Dissemination Documentation
The document discusses the importance of metadata for statistical organizations and their users. It notes that users today come from diverse backgrounds and have different needs than in the past. Effective metadata plays a key role in allowing users to browse, search, select, comprehend and compare statistical data. Metadata should be consistently structured and defined for both professionals and laypeople using clear terminology. Capturing metadata at its source and making it readily available and understandable for users in context is important. Understanding the needs of different user groups like tourists, farmers and miners can help statistical organizations better provide the necessary metadata.
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Presentation to the East Midlands 'Bits to Blogs' event about the next steps in putting museum collections online.
DataGraft: Data-as-a-Service for Open Data
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Adventures with Open Data in a Government World
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Co-creating data value chains with the public sector
1. The public sector cannot create data value chains alone and needs to co-create them with the private sector. Co-creation can augment data quality, combine public and private sector data, and enable new AI services and business models.
2. Case studies of data sharing initiatives showed that without standardization of data models, APIs, and unified access, it is difficult to build applications that can utilize different data sources.
3. Data sharing spaces need to evolve into data ecosystems and platforms with interoperability, common data models, value-added services, and data governance frameworks to fully realize the potential of co-creating data value chains between the public and private sectors.
Data sharing between private companies and research facilities
Sotiris is currently working as Research Director with the Institute of Computer Science at the Foundation for Research and Technology - Hellas, where his research interests include systems, networks, and security. He is also a member of the European Union Agency for Network and Information Security (ENISA) Permanent Stakeholders Group! During Data Science Conference, Sotiris will talk about how data sharing between private companies and research facilities may lead to monetization.
Building a semantic-based decision support system to optimize the energy use ...
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The document describes a semantic decision support system called OPTIMUS that optimizes energy use in public buildings. OPTIMUS integrates data from various sources like weather forecasts, social media, occupancy sensors, energy prices and renewable energy production. It uses a semantic framework including an ontology to model this multidisciplinary data. Prediction models use historical data to forecast building behavior. Inference rules then suggest short-term action plans based on the predictions and real-time monitored data. The system interfaces display this information to support user decisions. It was tested in pilot cities to optimize actions like HVAC scheduling and electricity self-consumption or feeding to the grid.ForMABS 2016 keynote talk, Sept 4th, 2016, Singapore
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More from annegrete
Hosting a Databank
Statistics Denmark offers StatHost, a service that allows customers to publish their data and metadata on customized websites using Statistics Denmark's infrastructure and support. StatHost sites are created using predefined roles where Statistics Denmark is responsible for hosting, storage, administration and publishing while the customer provides the data and metadata and can tailor presentation functionality. Pricing includes an initial setup fee and yearly hosting costs, with discounts available for additional cubes of data. StatHost provides advantages for end users, customers and Statistics Denmark.
Coherance in dissemination- Msis 2007
1) Statistics Denmark provides statistical data through a centralized dissemination system called StatBank, which hosts 1,500 tables covering all subjects. StatBank allows users to access and download data in a variety of formats for free.
2) While some data inputs and management are decentralized, output is centralized through StatBank to ensure coordination of structure, formatting and simultaneous releases.
3) Principles of the dissemination system include prioritizing electronic access over paper, using StatBank as the single source of official statistics for all publications and target audiences. Metadata is also centralized and stored once for reuse across outputs.
Results Usersurvey 2005
Statistics Denmark conducted a user survey of its StatBank website in November 2005. Some key findings were:
- 1,444 users responded, a response rate of 36% which was much higher than the previous year.
- 1/3 of respondents were visiting StatBank for the first time. 2/3 of respondents found all or most of the data they needed, though success rates were lower for first-time visitors.
- The majority of respondents, 59.6%, needed the statistics for studies, while 31.8% needed them for work.
- 40.1% of respondents said automatic updates of data retrievals through Excel would be useful. 23.4% of respondents provided additional comments
Results2004 From A User Survey Of Stat Bank
Statistics Denmark conducted a user satisfaction survey of its StatBank statistical database. 1,177 users responded out of 8,610 surveyed, a 14% response rate. Most users, 80% of registered and 77% of non-registered, were satisfied with the database contents and 87% found StatBank easy to use. While users' success in finding desired data improved, some still wanted more detailed or longer-term data series. The report concluded StatBank met users' needs but could improve functionality visibility and content. An action plan was outlined to expand content, add online tutorials and improve data retrieval and presentation capabilities.
Report On Usersatisfaction Survey Stat Bank 2007
Statistics Denmark conducted a user satisfaction survey of StatBank from December 3-6, 2007. Of the 2,189 users who retrieved a table during this period, 1,150 responded. Four in ten users only retrieved a single figure and half of these were unaware they could retrieve more. Users were generally satisfied with StatBank's content and functionality, though finding the right table and documentation were areas for improvement. Statistics Denmark plans to improve metadata and definitions to help users search and better understand concepts.
Eyetracking Msis 2007
The document summarizes an eye tracking study conducted to test the usability of a government website. 10 typical users were recruited and asked to complete 10 common tasks on the site while their eye movements were tracked. Users were also interviewed after each task. Results showed which areas of pages users focused on and how long tasks took. Analysis found design issues like a compact left column, long text lines, and unnoticed help information. The method provided both quantitative and qualitative insights to identify usability problems.
Dissemination Users In Focus
The document discusses using user surveys and other methods like eye tracking to gather feedback from visitors to Statistics Denmark's website. It provides details on different survey methods used in the past, including response rates, examples of survey questions, and some key results. Eye tracking tests were also conducted with typical users to understand their experiences navigating the site and find information. The tests revealed issues like pages that were too text-heavy or had labels that were not clear enough. Gathering user input was aimed at improving the usability and accessibility of the site.
Overview: Dissemination And Publication
The document provides an overview of dissemination and publication practices at Statistics Denmark. It discusses Statistics Denmark's staff and budget, methods of electronic dissemination including their website and databases, and publications and press operations. It also briefly outlines quality management practices and commonly agreed principles of dissemination according to the UN, such as relevance, confidentiality, and public trust.
Archiving Of Electronic Publishing
The document discusses electronic archiving of published information by Statistics Denmark. It describes what information is archived, such as books, PDFs, websites, and databases. It explains that information is archived for legal and practical reasons, including to have a record in case of disputes. The archiving process involves using an in-house developed crawler called FIDO to take monthly snapshots of websites and weekly/daily snapshots of key pages and economic figures. The archived information is stored and accessible via various sources such as the Wayback Machine, DST's internal archive, and the Royal Library.
Archiving Of Electronic Publications
Statistics Denmark currently archives PDF publications, pages from its website, and some data from its StatBank database. It recognizes the importance of archiving not just the latest data but also historical data for research. However, archiving all electronic publications fully would be enormously resource-intensive. Statistics Denmark is working to develop balanced rules around what to archive to meet user needs while managing costs.
User Needs From Access To Integration Iaos
1) Statistics Denmark has been focusing on user needs through surveys to improve accessibility, comprehensibility, and content of statistical data.
2) User needs have shifted over time from a focus on electronic access in the 1980s to functionality, integration, and visualization today.
3) Statistics Denmark is developing a concept database to define key terms for general users to help them better understand and select the appropriate statistical tables. Definitions will be accessible directly from the statistical database and publications.
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Iaos From Data Access To Data Integration
- 1. From Data Access to Data Integration IAOS, Shanghai 14-16 October 2008 Annegrete Wulff, Statistics Denmark [email_address]
- 4. Access Population Labour market Income Finance Agriculture etc. Databank www.statbank.dk
- 5. The Statistical Information System Person id: Person N um b er Enterprise id: CBR-No Dwelling id : Ad dress Health Tax Employ- ment Educa- tion Social etc CPR B D R C B R Question- naire Inter- view Cadastre
- 6. The case of Denmark To link or not to link - that’s the question!
- 7. The Public www.dst.dk SumDatabase Cleaned micro data Statistical registers Print Binding dst.dk Charged statistics and analysis Annonymos micro data for Researchers Subject matter division Dissemination, IT-Centre Aggregation to macro data Publication pdf International organisations - - StatBank Denmark
- 11. Statistics Denmark’s first databank 1986 200 users – and we new them all
- 13. Internet databank, ver. 1.0 1998 Access “restricted” by a fee
- 15. Homepage 2004 Documentation, quality declaration, graphics
- 19. Many sources of metadata Subject matter division Technical sources Statisticians Statistics Denmark publications Metadataproject Quality declarations Statistical Yearbook & Ten year review Statistical Abstracts Annual publications, Nomenclatures External documents Legal documents etc TIMES, microdata documentation
- 20. One source for all metadata Subject matter division Technical sources Statisticians Statistics Denmark publications Metadata project Quality declarations Statistical Yearbook & Ten year review Statistical Abstracts Annual publications, Nomenclatures External documents Legal documents etc TIMES, microdata documentation
- 24. Born in Denmark and neither of the parents is born in Denmark and has Danish citizenship as well
- 25. At least one parent is born in Denmark and has Danish citizenship
- 26. Glossary
- 27. Thank you