The document summarizes the history and future of open government data in Austria. It describes how the city of Linz commissioned an early study in 2010 on open data and how the concept slowly grew with early adopters like Vienna and Linz publishing open data portals. Standards for open data were developed between 2011-2012 and by 2013, most Austrian states had published open data portals. The document envisions open data expanding to include more private sector and individual citizen data and notes both opportunities and risks around increased datafication and loss of privacy.
Linked Open Data Principles, benefits of LOD for sustainable developmentMartin Kaltenböck
Presentation held on 18.09.2013 at the OKCon 2013 in Geneva, Switzerland in the course of the workshop: How Linked Open data supports Sustainable Development and Climate Change Development by Martin Kaltenböck (SWC), Florian Bauer (REEEP) and Jens Laustsen (GBPN).
This document discusses how linking open data can make data more valuable and useful. It recommends following semantic web and linked data practices like publishing data using RDF, linking entities to related datasets, and maintaining and improving links over time. Linking data allows queries across datasets, facilitates data integration, and enables new applications by connecting related information. The key is to link data in a way that answers questions and benefits both data publishers and users, and to iteratively enhance link quality and coverage.
Soren Auer - LOD2 - creating knowledge out of Interlinked DataOpen City Foundation
The document discusses the LOD2 project which aims to create knowledge from interlinked open data. It focuses on very large RDF data management, knowledge enrichment through interlinking data from different sources, and developing semantic user interfaces. The project uses use cases in media, enterprise, open government data, and public sector contracts. The goal is to develop an integrated Linked Data lifecycle management stack.
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http://www.big-data-europe.eu/social-sciences/
Easy SPARQLing for the Building Performance ProfessionalMartin Kaltenböck
Slides of Martin Kaltenböcks (SWC) presentation at SEMANTiCS2014 conference in Leipzig on 5th of September 2014 about the 'Tool for Building Energy Performance Scenarios' of GBPN (Global Buildings Performance Network, http://gbpn.org) that provides a prediction tool for buildings performance worldwide by making use of Linked Open Data (LOD).
Jo Cook gives a presentation on open source GIS in the UK, with a focus on archaeology. She notes that open source use is growing in universities and heritage organizations. Preconceptions about open source include beliefs that it is only for home use and lacks support, but open source offers advantages like transparency, interoperability, and sustainability. For archaeology specifically, open source is attractive due to needs for long-term data preservation and limited budgets. She highlights the open source GIS tools gvSIG, PostgreSQL/PostGIS, and OpenLayers/Mapfish. Overall, she encourages giving open source GIS a chance.
Quality of Groundwater in Lingala Mandal of YSR Kadapa District, Andhraprades...IRJET Journal
This document provides an overview of several popular general data mining tools: Weka, Rapid Miner, IBM SPSS, Tanagra, KNIME, Orange, and R. It describes the key characteristics of each tool, including their interfaces, available algorithms, licensing, community support, and abilities for workflows and big data processing. Overall, the document finds that while each tool has strengths in different areas, Weka, Rapid Miner, IBM SPSS, KNIME, and Orange provide robust functionality for a wide range of general data mining tasks through their graphical user interfaces and available algorithms.
An Overview of General Data Mining ToolsIRJET Journal
This document provides an overview of several popular general data mining tools: Weka, Rapid Miner, IBM SPSS, Tanagra, KNIME, Orange, and R. It describes the key characteristics of each tool, including their interfaces, available algorithms, licensing, community support, and abilities for workflows and big data processing. Overall, the document evaluates and compares the capabilities of these seven major data mining software platforms.
Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
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My slide presented to a delegation of the Palestinian National Authority during the capacity building seminar on e-government by the OECD in Trento.
The slides show examples of the use of Open Data.
more info here
http://www.oecd.org/document/4/0,3746,en_2649_34417_49983620_1_1_1_1,00.html
Datagrav: the first transclusion enabled collaboration mediaDatagrav
Datagrav is an integrated knowledge management platform launched in 2008 by Russian researchers to help executive and research teams make informed decisions. It includes a cloud service and on-premise installations. Key features allow users to co-author documents, manage knowledge and projects, securely store data, and collaborate both internally and with external partners. Global Records act as the central knowledge base, allowing users to construct documents, manage changing data and information, track tasks and assignments, and share documents while controlling access. The platform aims to improve on document-centric workflows that typically involve long feedback chains and a degradation of shared knowledge over time.
IntroductionThis report discusses the programming process whic.docxmariuse18nolet
Introduction
This report discusses the programming process which I would developed and used to produce the required data suitable for part two and three. The main measurement that I used to generate data is one region, particularly in two month period of time. This period information is required to generate from particular years 2011, 2012 and 2013. This data contains two different types of information which are climatic conditions recorded and power consumption that are related to that period of time.
Climatic conditions
The program that I developed using C programming related to weather data was focusing on years. What is supposed to do is processing a bunch of dataset containing information that is climatic conditions recorded across various regions. Which means reducing it down to just the data values that are relevant or meaningful to the desired region (Auckland) to be able to get its details on January and February in particular years .The idea is collecting the 2011+2013 desired information and generating it in a separate excel file then so on for 2013.
Power consumption
It is the same idea for power consumption, what I accomplished was using two processes in a huge number of data file to generate a filtered file. Although that huge file contained only the required years, there were unwanted months details that needed to be excluded. The first process was using C codes programming to get the desired two months by printing out the first two months of each year. So, during printing process, it had to be stopped at the end of the second months of each year and jumping on the following year to complete the process. The second process was combining every two rows of the filtered file as each row taken every 5 minutes power consuming recorded but the requirement was ten minutes reading for each row.
After achieving all of that processes and generating the filtered files, we need to use these files information with Weka to undertake a data modelling task. Then using this modelling task in different visualization techniques to see how well the performance of the task predictive is. The following sections show how to use the generated data both the weather data and power consumption in data mining and data visualization.
STAT390-14B (Ham): Directed Study Project
Individual Project Focus: Work vs. Play
Project co-ordinator: Associate Professor David Bainbridge
Process the weather data for Auckland in January and February in the given
dataset (10 minute readings) and experiment with various data mining
techniques to see if a model can be generated that predicts power
consumption for Monday-Friday (work), Saturday, and Sunday (play). Is it
easier to predict the power usage for one of time periods? Trial having
Saturday and Sunday represented as a single entity (i.e. the weekend) and as
separate days.
The aim of this directed study project is combine the programming skills learnt in COMP5002 (BoPP)
with the Data Min.
PaNOSC: EOSC for Photon and Neutron Facilities Users EOSC-hub project
This document discusses the Photon and Neutron Open Science Cloud (PaNOSC) project. It summarizes the current status of photon and neutron research facilities in making their data FAIR. It then outlines the goals and key performance indicators of the PaNOSC project to further improve data management and services by 2023 to fully integrate these facilities within the European Open Science Cloud. Open questions are also discussed, such as how to engage users, develop common standards and services, and ensure long-term sustainability of FAIR data practices.
Open Data Conference - Sören Auer - Linked Open DataOpening-up.eu
The document summarizes the EU-FP7 LOD2 project, which aims to utilize the web as an integration platform for data and information. The project focuses on very large RDF data management, knowledge enrichment and interlinking, fusion and information quality, and adaptive semantic user interfaces. It develops a coherent LOD2 stack for linked data lifecycle management and applies linked data technologies across various use cases including media/publishing, enterprise data, open government data, and public sector contracts. The project runs from 2010-2014 with partners from various universities and companies.
The document describes the LOD2 project, an EU-funded collaborative project that aims to utilize the Web as an integration platform for data and information using Linked Data technologies. The project focuses on very large RDF data management, knowledge enrichment and interlinking, fusion and information quality, and adaptive semantic user interfaces. It brings together various partners to develop an integrated LOD2 Stack for the full Linked Data lifecycle and apply it across several use cases.
Slides from March1st 2018 webinar
Tracking research data footprints via integration with Research Graph
Presented by Ben Evans and Jingbo Wang from NCI
Open Data Open Innovation and The Cloud gayler berlin nov12Mark Gayler
Open data, open innovation, and cloud computing can provide significant benefits but expectations are changing. Citizens and workers expect personalized services, engagement, tools for collaboration and work style, and respect for privacy and security. Leaders expect to consult constituents anywhere, gain insights and manage performance. These trends can be exploited by opening government data through the cloud, which provides a low-cost way to build applications, access data easily, and stimulate public innovation. Microsoft's open government data initiative leverages the cloud to provide open APIs, scale, and reliability for open data portals.
The document summarizes the Helsinki Region Infoshare project, which aims to develop an open data network and catalogue for the Helsinki metropolitan region. The project will work with data owners to open and publish public sector data following open data principles. It will also support utilization of the data through pilots and an online portal. The project is being carried out in phases from preparation to implementation to establishing a long-term operational model for open data in the region.
Similar to 3 Jahre OGD In Österreich - eine Billanz (20)
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The document discusses sustainable open source business models. It outlines four models: 1) single-vendor open source firms that derive revenue directly from open source software, 2) open source distributors that provide commercial support for open source, 3) developer foundations that manage open source development to lower costs for members, and 4) user foundations that finance open source development to reduce costs. The document argues that open source simplifies consortia by allowing collaboration between vendors, users, developers and other groups.
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अदालत ने दिल्ली पुलिस की कड़ी आलोचना की और कहा कि जांच से भरोसा नहीं होता क्योंकि उसने “बहुत कम” और “बहुत देर से” काम किया है; इसने आगे टिप्पणी की कि “कानून के रखवाले…कट्टर मानसिकता से प्रेरित लग रहे हैं”
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Jeffery David Whippo Explains Why Socialism is Ineffectiveandrewhodo
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Net zeroing in on investment: Can the Government deliver a fair transition?ResolutionFoundation
The new Labour Government says it wants clean energy – and wider action on climate change – at the heart of its new economic strategy, pledging to go further and faster on decarbonising electricity, insulating homes, and shifting to electric vehicles than plans in the previous parliament.
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1. Open Gov Data Austria
Past-Present-Future
Peter Parycek Bernhard Krabina
Zentrum für E-Governance, KDZ – Zentrum für Verwaltungsforschung
Donau-Universität Krems
3. City Council of Linz
commissioned study on
how the region of Linz
could be developed to an
Open-Source-Region
Resulting Study (2010)
Open Commons:
(Source, Content, Data)
http://www.linz.at/images/ko-Studie_Open_Commons_Region_Linz.pdf
7. December, 2010
Gov2.0 Camp Vienna
summary:
Thomas Thurner‘s whishlist
1. implement data.wien.gv.at until May
2. publish data already available until July
3. initiate Apps4Vienna award in September and
have the award ceremony at Gov2.0Camp 2011
http://prezi.com/y9ifyp0gphks/open-government-data-carpe-diem/
10. July 2011: Open Government
Implementation Model
s 4
n es Realizing
n
pe Ubiquitous
/o
ent fits Engagement
em ene 3
ag /b
ng lue
e a Enhancing
blic v Open
pu Collaboration
2
Improving Open ity
ex
Participation pl
om
1
ia l c ks
Increasing Data g er /ris
transparency na ges
a n
(OGD) l/m alle
ca
ni ch
ch
te
http://www.kdz.eu/de/open-government-vorgehensmodell
11. July, 2011
Unconventional Cooperation
Cities of Vienna, Linz, Salzburg & Graz,
Federal Chancellery, Region of Upper Austria,
Donau-Universität Krems, Federal Computing Centre,
Open Knowledge Foundation Austria
19. October, 2012 Open Government
Implementation Model V 2.0
1
Phase 1:
Increasing Data
transparency
(OGD)
Preparation Publishing
1.4
Improving
Data Quality
Result: Data published
1.7
3
1.3
3
Creating an
Performing
OGD Portal
Internal Data
Monitoring Ve
rö
ffe
1.2
2 ntl 1.6
2
ich
un
Creating a
Datenkatalog gm Collecting
Datenkatalog
ög
Data Catalogue
erstellen lic
h
Metadata
erstellen
1.1
1 1.5
1
Institution of
OGD Kompetenz- OGD Kompetenz-
Creating a
OGD zentrum
Competence zentrum
Stage Plan
Centre
einrichten einrichten
http://www.kdz.eu/de/open-government-vorgehensmodell
29. OGD Core
#1 Metadata Inspire Eurostat
Considered Standards: CORE fields:
• W3C Open Data (Weltweit) • Title
http://www.w3.org/egov/wiki/Data_Catal • Description
og_Vocabulary/Vocabulary_Reference • URI to the meta data
• Data.gov.uk (UK) • URI data type (access to data)
http://data.gov.uk/data • format
• Inspire (EU) • published
http://inspire.jrc.ec.europa.eu/index.cfm/ • contact with producer
pageid/2 • categories tags (users tags - optional)
• Europeana (EU) • license
http://version1.europeana.eu/c/documen
• language: data & meta data
t_library/get_file?uuid=aff89c92-b6ff-
4373-a279-fc47b9af3af2&groupId=10605
• spatial designation
• time (from - to)
• CKAN (EU & Weltweit)
• data quality (file size)
• Data.gov (US)
• record size
http://explore.data.gov/catalog/raw/
30. psd
#2 URIs for Identification of Data
http://data.<organisation>.gv.at/katalog
31. #3 CC Provision:
- CC-BY-AT 3.0 or
- Public Domain according to CC0
data.<organisation>.gv.at/nutzungsbedingungen
32. data.eu
data.gv.at
further
Municipalities Regions Ministries
potentials
Businesses
Society
34. #1 OGDOG
4
R e a l i z i n g
U b i q u i t o u s
E n g a g e m e n t
3
E n h a n c i n g
O p e n
C o l l a b o r a t i o n
2
I m p r o v i n g O p e n
P a r t i c i p a t i o n
1
I n c r e a s i n g D a t a
t r a n s p a r e n c y
( O G D )
#2 OGDOD
Source: http://goo.gl/60PXU
36. Impact:
Appification
smart regions
& smart people
37. Impact:
Datafication
predictive analysis
Source: Big Data,V. Mayer-Schonberger, K. Cukier
38. The dark side
Good bye privacy
Source: Big Data,V. Mayer-Schonberger, K. Cukier
39. The dark side
free will VS.
data dictatorship
Source: Big Data,V. Mayer-Schonberger, K. Cukier
40. May = OGD month!!
Campus Krems, 22.05.2013 - 25.05.2013
May 29: 1st Open Data Meetup
in Engerwitzdorf
41. Dr. Peter Parycek, MSc
Donau-Universität Krems
Zentrum für E-Governance
+43 2732 893-2312
Mag. Bernhard Krabina
KDZ – Zentrum für
Verwaltungsforschung
krabina@kdz.or.at
www.kdz.or.at
@krabina