ckan 2.0 Introduction (20140618 updated)Chengjen Lee
This document provides an overview and agenda for a presentation on CKAN 2.0, an open-source data management system. The presentation covers topics such as features for publishing and finding datasets, storing and managing data, customizing and extending CKAN, and how CKAN supports open data principles. It also provides examples of CKAN in use by government open data portals and discusses issues such as language support and extensions. Harvester extensions are introduced for harvesting metadata and datasets from remote CKAN instances and other data sources.
將 Open Data 放上 Open Source Platforms: 開源資料入口平台 CKAN 開發經驗分享Chengjen Lee
This document discusses using the open source CKAN platform for open data portals and sharing experiences customizing and implementing CKAN. It begins by introducing CKAN and its features for publishing, sharing, finding, and using open data. It then describes customizing CKAN for a Taiwanese open data portal including adding custom metadata fields, data validation, visualization plugins, localization, and harvesting from other data sources. The document concludes by discussing ways to contribute to CKAN such as through the development of new features, plugins, or translations.
Preserving Collaborative Documents in Contemporary EventsChengjen Lee
This document discusses preserving online collaborative documents from the 2014 Sunflower Student Movement in Taiwan. During the movement, students and activists occupied Taiwan's legislature to protest a trade agreement with China. They used online platforms like Hackpad and Hackfoldr to collaboratively edit documents. The researchers aim to faithfully archive these "born-digital" materials by recreating the operating systems, applications, and data needed to access the documents offline. However, challenges include rights issues, technical complexity, and the need to also archive related websites and media to fully preserve the online context of the movement.
ckan 2.0 Introduction (20140618 updated)Chengjen Lee
This document provides an overview and agenda for a presentation on CKAN 2.0, an open-source data management system. The presentation covers topics such as features for publishing and finding datasets, storing and managing data, customizing and extending CKAN, and how CKAN supports open data principles. It also provides examples of CKAN in use by government open data portals and discusses issues such as language support and extensions. Harvester extensions are introduced for harvesting metadata and datasets from remote CKAN instances and other data sources.
將 Open Data 放上 Open Source Platforms: 開源資料入口平台 CKAN 開發經驗分享Chengjen Lee
This document discusses using the open source CKAN platform for open data portals and sharing experiences customizing and implementing CKAN. It begins by introducing CKAN and its features for publishing, sharing, finding, and using open data. It then describes customizing CKAN for a Taiwanese open data portal including adding custom metadata fields, data validation, visualization plugins, localization, and harvesting from other data sources. The document concludes by discussing ways to contribute to CKAN such as through the development of new features, plugins, or translations.
Preserving Collaborative Documents in Contemporary EventsChengjen Lee
This document discusses preserving online collaborative documents from the 2014 Sunflower Student Movement in Taiwan. During the movement, students and activists occupied Taiwan's legislature to protest a trade agreement with China. They used online platforms like Hackpad and Hackfoldr to collaboratively edit documents. The researchers aim to faithfully archive these "born-digital" materials by recreating the operating systems, applications, and data needed to access the documents offline. However, challenges include rights issues, technical complexity, and the need to also archive related websites and media to fully preserve the online context of the movement.
CKANCon 2016 and IODC16 were conferences about open data. CKANCon 2016 was a one day conference for CKAN developers that included case studies, lightning talks, and discussions around the CKAN roadmap and moving to the Flask framework. IODC16 was the 4th International Open Data Conference that brought together the global open data community to discuss topics like data in education, agriculture, and more. Selected sessions included videos on tracking earthquake relief funds in Nepal and unlocking private sector data for public good.
“Open Data Web” – A Linked Open Data Repository Built with CKANChengjen Lee
This document summarizes the development of an open linked data repository called Open Data Web (ODW) built using CKAN. Key points:
- ODW publishes structured data from a Taiwanese archive catalog as linked open data using the RDF data model.
- It provides features for browsing, spatial and temporal querying of the data through a SPARQL endpoint.
- The system was implemented by customizing CKAN using extensions to support linked data import/export, custom fields, spatial/temporal search.
- Future work includes improving import speed and providing native SPARQL queries in CKAN.
ckan 2.0 Introduction (20140522 updated)Chengjen Lee
This document outlines an agenda and presentation on CKAN, an open-source data management system. The presentation covers an introduction to CKAN, a tour of its features for publishing, finding, and managing data, how it supports open data principles, examples of CKAN instances, issues, and installation and harvesting topics.
This report summarizes an imported dataset containing tags and groups. The presenter shares that the data includes package names with asterisks replaced, parentheses removed from tags, and content mapped to groups. Users are directed to the MoPad application to obtain login credentials needed to access the imported data.
The document summarizes a presentation on controlled vocabularies, access control, and other features in CKAN. It discusses using CKAN's tag vocabularies and a validator for place names. It describes the roles of admin, editor and user for organizations and their access levels. It also covers searching private datasets after logging in, the datastore and datapusher extensions, and statistics available through the stats extension.
This document summarizes a presentation on CKAN, an open-source data management system. It discusses CKAN's features for publishing, finding, and managing datasets. These include adding metadata and data, filtering datasets, previewing data types, and customizing CKAN. It also covers harvesting data from external sources, installing CKAN, and common issues. The goal of CKAN is to make data open and accessible on the web according to the 5 star open data model.
The document introduces Pelican, an open-source static site generator. It can convert reStructuredText and Markdown files into HTML files. The document covers how to install Pelican using virtualenv and pip install. It also discusses the basic folder structure and usage of Pelican, including generating HTML files from Markdown or reStructuredText content files organized into categories and tagged.
ckan 2.0: Harvesting from other sourcesChengjen Lee
This document summarizes Cheng-Jen Lee's presentation on CKAN 2.0 harvesting capabilities and linked data/RDF. It discusses manually and automatically harvesting from remote sources using harvesters, implementing a custom harvester, and issues with harvesting. It also covers the Resource Description Framework and using DCAT and Dublin Core vocabularies to retrieve RDF metadata from datasets.
This document summarizes a presentation on CKAN 2.0 features including:
- Support for Jetty 8/9 and Solr 4 for spatial searching
- Extensions for spatial metadata, searching, mapping and previews
- Import/export of datasets via the API and database dumps
- Methods for migrating CKAN including issues with PostgreSQL versions
- Authentication is moving away from OpenID toward UNIX user authentication
This document summarizes a presentation about the CKAN data management system. It introduces CKAN, describes its main features for publishing, finding, storing and managing datasets, engaging with users, and customizing the system. It provides examples of how CKAN is used by sites like data.gov.uk and discusses installation instructions, including required packages, configuring PostgreSQL, and deployment options.
CKANCon 2016 and IODC16 were conferences about open data. CKANCon 2016 was a one day conference for CKAN developers that included case studies, lightning talks, and discussions around the CKAN roadmap and moving to the Flask framework. IODC16 was the 4th International Open Data Conference that brought together the global open data community to discuss topics like data in education, agriculture, and more. Selected sessions included videos on tracking earthquake relief funds in Nepal and unlocking private sector data for public good.
“Open Data Web” – A Linked Open Data Repository Built with CKANChengjen Lee
This document summarizes the development of an open linked data repository called Open Data Web (ODW) built using CKAN. Key points:
- ODW publishes structured data from a Taiwanese archive catalog as linked open data using the RDF data model.
- It provides features for browsing, spatial and temporal querying of the data through a SPARQL endpoint.
- The system was implemented by customizing CKAN using extensions to support linked data import/export, custom fields, spatial/temporal search.
- Future work includes improving import speed and providing native SPARQL queries in CKAN.
ckan 2.0 Introduction (20140522 updated)Chengjen Lee
This document outlines an agenda and presentation on CKAN, an open-source data management system. The presentation covers an introduction to CKAN, a tour of its features for publishing, finding, and managing data, how it supports open data principles, examples of CKAN instances, issues, and installation and harvesting topics.
This report summarizes an imported dataset containing tags and groups. The presenter shares that the data includes package names with asterisks replaced, parentheses removed from tags, and content mapped to groups. Users are directed to the MoPad application to obtain login credentials needed to access the imported data.
The document summarizes a presentation on controlled vocabularies, access control, and other features in CKAN. It discusses using CKAN's tag vocabularies and a validator for place names. It describes the roles of admin, editor and user for organizations and their access levels. It also covers searching private datasets after logging in, the datastore and datapusher extensions, and statistics available through the stats extension.
This document summarizes a presentation on CKAN, an open-source data management system. It discusses CKAN's features for publishing, finding, and managing datasets. These include adding metadata and data, filtering datasets, previewing data types, and customizing CKAN. It also covers harvesting data from external sources, installing CKAN, and common issues. The goal of CKAN is to make data open and accessible on the web according to the 5 star open data model.
The document introduces Pelican, an open-source static site generator. It can convert reStructuredText and Markdown files into HTML files. The document covers how to install Pelican using virtualenv and pip install. It also discusses the basic folder structure and usage of Pelican, including generating HTML files from Markdown or reStructuredText content files organized into categories and tagged.
ckan 2.0: Harvesting from other sourcesChengjen Lee
This document summarizes Cheng-Jen Lee's presentation on CKAN 2.0 harvesting capabilities and linked data/RDF. It discusses manually and automatically harvesting from remote sources using harvesters, implementing a custom harvester, and issues with harvesting. It also covers the Resource Description Framework and using DCAT and Dublin Core vocabularies to retrieve RDF metadata from datasets.
This document summarizes a presentation on CKAN 2.0 features including:
- Support for Jetty 8/9 and Solr 4 for spatial searching
- Extensions for spatial metadata, searching, mapping and previews
- Import/export of datasets via the API and database dumps
- Methods for migrating CKAN including issues with PostgreSQL versions
- Authentication is moving away from OpenID toward UNIX user authentication
This document summarizes a presentation about the CKAN data management system. It introduces CKAN, describes its main features for publishing, finding, storing and managing datasets, engaging with users, and customizing the system. It provides examples of how CKAN is used by sites like data.gov.uk and discusses installation instructions, including required packages, configuring PostgreSQL, and deployment options.