| AREA | TOPIC | LO | VERB | TYPE |
|---|---|---|---|---|
| CULTURE | what open data are | State what makes open data open (K) | ||
| CULTURE | what open data are | Describe the basis of open data (K) | ||
| CULTURE | what open data are | Explain the general process, lifecycle, and potential of open data (K) | ||
| CULTURE | why I would open up data | Recall good OD examples (K) | ||
| CULTURE | why I would open up data | Identify key impacts and benefits of opening up data (K) | ||
| CULTURE | why I would open up data | Name the economic benefits (K) | ||
| CULTURE | why I would open up data | Describe where we expect open data to be of value (K) | ||
| CULTURE | why I would open up data | Explain why to open up my research data (K) | ||
| CULTURE | why I would open up data | Determine which data would be beneficial to be opened or published (K) | ||
| CULTURE | why I would open up data | Explain that open data is not an existential threat to the sector (K) | ||
| CULTURE | how open data creates value | Describe the sector-wide benefits of open data (K) | ||
| CULTURE | how open data creates value | Explain how OD creates value (K) | ||
| CULTURE | how open data creates value | Explain how OD creates value in an education setting (K) | ||
| CULTURE | who are the key actors in the OD world? | Recall actors in an open data ecosystem (K) | ||
| CULTURE | who are the key actors in the OD world? | Identify the data community (K) | ||
| CULTURE | who are the key actors in the OD world? | Identify ways to engage with journalists and other relevant public domain actors (K) | ||
| CULTURE | what the opportunities are for the public sector | Recall examples and inspiration for public sector (K) | ||
| CULTURE | what the opportunities are for the private sector | Recall examples and inspiration for private sector (K) | ||
| CULTURE | what the opportunities are for the private sector | Recall success stories of start-ups and businesses built on Open Data (K) | ||
| CULTURE | what the opportunities are for the private sector | Identify ways to start innovating collaboratively (K) | ||
| CULTURE | what the opportunities are for the private sector | Explain the advantages or disadvantages against my business competitors to open my data (K) | ||
| CULTURE | what is the value of open data in the social sector | Recall examples and inspiration for the social sector (K) | ||
| CULTURE | what is the value of open data in the social sector | Explain how OD can address social challenges (K) | ||
| CULTURE | what the impact is of open data on society, business and public policy | Recall examples of OD across sectors (K) | ||
| CULTURE | what is the connection between open data and open standards? | Explain data licenses (K) | ||
| CULTURE | what is the connection between open data and open standards? | Describe semantic interoperability (K) | ||
| MANAGEMENT | which of my data are of value/needed/demanded | Recognize which dataset is in a convenient and modifiable form (K) | ||
| MANAGEMENT | which of my data are of value/needed/demanded | Identify which data sets add the most value to clients (K) | ||
| MANAGEMENT | which of my data are of value/needed/demanded | Identify how the specific dataset provides value (S) | ||
| MANAGEMENT | which of my datasets can be used to solve a problem | Identify which dataset provides the appropriate information (K) | ||
| MANAGEMENT | which of my datasets can be used to solve a problem | Identify the proper dataset (K) | ||
| MANAGEMENT | how to collaborate with stakeholders | Recognize different collaboration methods (K) | ||
| MANAGEMENT | how to engage with the (potential) data users in a sustainable way | Identify ways to engage with users (K) | ||
| MANAGEMENT | how to provide feedback possibilities on the data | Produce feedback possibilities on the data (S) | ||
| MANAGEMENT | how to create a community around my data | Identify ways to create a community (K) | ||
| MANAGEMENT | how the users want to access the data (dump, api, interactive table, visualization, storytelling, format) | Identify ways how users want to access the data (K) | ||
| MANAGEMENT | which data format is best for my users | Identify different data formats (K) | ||
| MANAGEMENT | which data format is best for my users | Choose the right format for my user (S) | ||
| MANAGEMENT | how to annotate a dataset so it is easier to be found | Decide which tags/metadata to use for the specific datasets (K/S) | ||
| MANAGEMENT | how to annotate data so that they are correctly understood | Add metadata about the meaning of the fields, datatypes used, ��_ (S) | ||
| MANAGEMENT | how to add proper metadata when publishing | Provide metadata in a machine readable way (S) | ||
| MANAGEMENT | where to find open data that could be useful | List existing open data portals (K) | ||
| MANAGEMENT | where to find open data that could be useful | Search an open data portal (S) | ||
| MANAGEMENT | where to find open data that could be useful | Identify and evaluate data sources (K/S) | ||
| MANAGEMENT | where to find open data that could be useful | Locate reliable data sources (S) | ||
| MANAGEMENT | where to find open data that could be useful | List relevant keywords (K) | ||
| MANAGEMENT | where to find open data that could be useful | Identify sources that open data can come from (such as government departments, public sector bodies, local councils, universities and research institutions etc.) (K) | ||
| MANAGEMENT | what about ethics | Discuss ethics in relation to OD (K) | ||
| MANAGEMENT | what about legalities | Recall legalities in relation to OD (K) | ||
| MANAGEMENT | what about legalities | Explain rules concerning Intellectual property (K) | ||
| MANAGEMENT | what about legalities | Explain licenses, decrees, basic law, European legislature (K) | ||
| MANAGEMENT | what about open data licenses, why and how to apply those | Choose the right license (S) | ||
| MANAGEMENT | what about open data licenses, why and how to apply those | Verify the license used allows for the re-use the company wants (S) | ||
| MANAGEMENT | what about open data licenses, why and how to apply those | Explain creative commons and open data licenses (K) | ||
| MANAGEMENT | what about privacy & security | Identify the known security issues when using open data (K) | ||
| MANAGEMENT | what about privacy & security | Identify the indirect or circumstantial risks regarding privacy while using open data (K) | ||
| MANAGEMENT | what about privacy & security | Explain what is considered sensitive / private data (K) | ||
| MANAGEMENT | how to make a roadmap for OD | Produce vision setting for open data publication (S) | ||
| MANAGEMENT | how to make a roadmap for OD | Identify the organisational opportunities from open data (K) | ||
| MANAGEMENT | how to make a roadmap for OD | Manage data programs (S) | ||
| MANAGEMENT | how to make a roadmap for OD | Setting clear visions for open data use (S) | ||
| MANAGEMENT | how to make a roadmap for OD | Operate change management (S) | ||
| MANAGEMENT | how to get everyone one board (strategy & technical) | Facilitate relevant workshop sessions (S) | ||
| MANAGEMENT | how to get everyone one board (strategy & technical) | Lead change programs (S) | ||
| MANAGEMENT | how to get everyone one board (strategy & technical) | Communicate about OD in my organisation and with partners (S) | ||
| MANAGEMENT | how to get everyone one board (strategy & technical) | Calculate cost and "profit" (or cost reduction in the long term) (S) | ||
| MANAGEMENT | how to get everyone one board (strategy & technical) | Speak to non-technical audiences about open data (S) | ||
| MANAGEMENT | which international standards to use | Discuss international standards (K) | ||
| MANAGEMENT | which international standards to use | Name the specifications for geographical data e.g. INSPIRE (Infrastructure for Spatial Information in Europe) (K) | ||
| MANAGEMENT | which international standards to use | Summarize abilities on exploiting open data in GIS systems (K) | ||
| MANAGEMENT | which international standards to use | Embed international standards in our work and software (K/S) | ||
| MANAGEMENT | how to move to a data-driven decision making process | Discuss data-driven decision-making approaches (K) | ||
| MANAGEMENT | how to share and exchange data? | Explain how to exchange data (K) | ||
| MANAGEMENT | how to share and exchange data? | Explain how to merge data (K) | ||
| MANAGEMENT | how to share and exchange data? | Explain how to share data (K) | ||
| BUSINESS | how to use OD to improve or products/services | Identify best practices that raise productivity (K) | ||
| BUSINESS | how to use OD to improve or products/services | Uncover consumer preferences, allowing companies to improve new products/services (S) | ||
| BUSINESS | how to use open data to create something | Identify different kinds of applications I can create with open data (K) | ||
| BUSINESS | how to use open data to create something | Identify other application areas where open data can be exploited (K) | ||
| BUSINESS | how to use open data to increase our efficiency | Identify how performance can be enhanced by open data (K) | ||
| BUSINESS | how to use open data to increase our efficiency | Spreading best practices that raise productivity (S) | ||
| BUSINESS | how to use open data to increase our efficiency | Identify benefits from easier access to information, content and knowledge (K) | ||
| BUSINESS | how to grow my business using open data | Analyse patterns and trends using open data (S) | ||
| BUSINESS | how to grow my business using open data | Evaluate business plans using open data (S) | ||
| BUSINESS | how to grow my business using open data | Adapt business models to open data policy (S) | ||
| BUSINESS | how to grow my business using open data | Identify how to reach more customers, or provide enhanced services to existing customers (K) | ||
| BUSINESS | how to grow my business using open data | Identify how open data is supporting growth by revealing opportunities for businesses (K) | ||
| BUSINESS | how to start a business with open data | Set up a business strategy with open data (S) | ||
| BUSINESS | how to start a business with open data | Define the goals of the company and the way in which they are satisfied using open data (S) | ||
| BUSINESS | how to make my creation/product/service sustainable | Identify tools or services that are well-placed to help (K) | ||
| BUSINESS | how to make my creation/product/service sustainable | Identify how the product/service meets customer needs (S) | ||
| BUSINESS | how to make my creation/product/service discoverable | Identify tools or services that are well-placed to help (K) | ||
| BUSINESS | how can I contribute to the entrepreneurial sector by using open data | Identify success stories and ways to engage with the entrepreneurial sector (K) | ||
| OBTAINING DATA | where to find OD | Identify existing open data portals (local, regional, country level) (K) | ||
| OBTAINING DATA | where to find OD | Explain how datasets have been tagged with metadata (K) | ||
| OBTAINING DATA | where to find OD | Search an open data portal (S) | ||
| OBTAINING DATA | where to find OD | Navigate an open data portal (S) | ||
| OBTAINING DATA | which data to use | Identify data of interest (K) | ||
| OBTAINING DATA | how to download and explore a dataset | Download and explore a dataset (S) | ||
| OBTAINING DATA | how to blend open data with other | Identify suitable data for blending (K) | ||
| OBTAINING DATA | how to blend open data with other | Knowledge of tools that allow data blending (Alteryx, Open Refine, ��_) (K) | ||
| OBTAINING DATA | how to blend open data with other | Handle interoperability issues and use existing standards (S) | ||
| OBTAINING DATA | how to convert from one format to another | Convert data files into useful formats (S) | ||
| OBTAINING DATA | what about licenses? | Verify that the license used allows for the re-use the user wants (S) | ||
| OBTAINING DATA | how to retrieve data from data stores | Create queries that fetch data with minimum loading effort (S) | ||
| OBTAINING DATA | how to retrieve data from data stores | Create queries that retrieve data from multiple data stores (S) | ||
| OBTAINING DATA | how to retrieve data from data stores | Describe complex querying concepts (K) | ||
| OBTAINING DATA | what are the common OD tools? | Identify available tools to obtain data (K) | ||
| SCRUBBING DATA | how to filter out sensitive data | Employ anonymizing skills (S) | ||
| SCRUBBING DATA | how can I check the quality of my data | Discover what the original source of the data is (S) | ||
| SCRUBBING DATA | how can I check the quality of my data | Reproduce evaluation criteria for good quality of data (K) | ||
| SCRUBBING DATA | how can I check the quality of my data | Determine the quality level of open data (S) | ||
| SCRUBBING DATA | how can I check the quality of my data | Untangle data (S) | ||
| SCRUBBING DATA | how can I check the quality of my data | Identify if my data needs cleaning (S) | ||
| SCRUBBING DATA | how can I check the quality of my data | Deal with unclear/incomplete data (S) | ||
| SCRUBBING DATA | understand the validity of open data | Identify how correct is the information in the datasets (S) | ||
| SCRUBBING DATA | understand the validity of open data | Discover where potential problems are, if any (S) | ||
| SCRUBBING DATA | how to clean data | Explain how to clean data (K) | ||
| SCRUBBING DATA | how to clean data | Perform cleaning methods (S) | ||
| SCRUBBING DATA | how to clean data | Understanding the challenges of messy data (K) | ||
| SCRUBBING DATA | how to handle redundancy in data collection | Perform record deduplication and/or record merging (S) | ||
| SCRUBBING DATA | what are the common OD tools? | Identify available tools to clean my data (K) | ||
| EXPLORE DATA | how to analyse data | Use analytics tools (S) | ||
| EXPLORE DATA | how to analyse data | Identify the proper analysis method to perform based on my objective (K/S) | ||
| EXPLORE DATA | how to analyse data | Perform practical data analysis (S) | ||
| EXPLORE DATA | how to analyse data | Identify different technologies that allow data analysis (K) | ||
| EXPLORE DATA | how to analyse data | Decide what type of analysis is more suitable for my data (K/S) | ||
| EXPLORE DATA | how to exploit statistical open data | Search for statistical open data (S) | ||
| EXPLORE DATA | how to exploit statistical open data | Perform analytics on statistical data (S) | ||
| EXPLORE DATA | what are the common OD tools? | Locate and use practical tools (K/S) | ||
| EXPLORE DATA | how to handle a lot of data | Work with big data sets (S) | ||
| VISUALIZE DATA | how to create a visualization | Identify available technologies for creating visualizations (K) | ||
| VISUALIZE DATA | how to create a visualization | Use visualization software(s) (S) | ||
| VISUALIZE DATA | how to create a visualization | Apply simple ranking of data, proportions and distributions etc. (S) | ||
| VISUALIZE DATA | which visualization is best for the type of data/user/problem addressed | Identify the visualize best suited to a given data set (K/S) | ||
| VISUALIZE DATA | which visualization is best for the type of data/user/problem addressed | Navigate to a service that allows me to view datasets (S) | ||
| VISUALIZE DATA | which visualization is best for the type of data/user/problem addressed | Identify what each type of visualization's added value and purpose (K) | ||
| VISUALIZE DATA | how to create visualizations with geographical data (maps) | Identify methods / technologies required for map visualizations with open data (K) | ||
| VISUALIZE DATA | how to work with dashboards | Create a dashboard (S) | ||
| VISUALIZE DATA | what are the common OD tools? | Identify the OD tools for visualization (K) | ||
| MODELLING DATA | how to create predictions on important city issues (e.g. pollution levels, radiation measurements etc.) | Identify different data analytics methods for creating predictions (K) | ||
| MODELLING DATA | how to create predictions on important city issues (e.g. pollution levels, radiation measurements etc.) | Explain machine learning and other analytics methods (K) | ||
| MODELLING DATA | how to create predictions on important city issues (e.g. pollution levels, radiation measurements etc.) | Identify tools that can perform predictions through Open Data (K) | ||
| MODELLING DATA | how to create predictions on important city issues (e.g. pollution levels, radiation measurements etc.) | Develop prediction services / applications with open data (S) | ||
| MODELLING DATA | how to create visualizations that are meaningful (e.g. predictions, statistical analysis etc.) | Recall existing success stories (K) | ||
| MODELLING DATA | how to create visualizations that are meaningful (e.g. predictions, statistical analysis etc.) | Identify methods and tools that create predictions with complex visualizations (K) | ||
| MODELLING DATA | what are the common OD tools? | Identify the OD tools for modelling (K) | ||
| INTERPRET DATA | how to understand the data | Interpret data (S) | ||
| INTERPRET DATA | how to understand the data | Explain what data means and its value (K) | ||
| INTERPRET DATA | how to understand the data | Explain how data has been structured and organised (K) | ||
| INTERPRET DATA | how to interpret findings | Interpret findings (S) | ||
| INTERPRET DATA | how to validate output | Validate the output / results of e.g. OD visualizations (S) | ||
| INTERPRET DATA | what are the common OD tools? | Identify the OD tools for interpreting (K) | ||
| PRESENT DATA | how to present data | Present data (S) | ||
| PRESENT DATA | how to present data | Determine what statistical methods to use for specific situations (K/S) | ||
| PRESENT DATA | how to present data | Pick a visualization that cleanly and powerfully tells a story from the data (S) | ||
| PRESENT DATA | how to present data | Perform information graphics (S) | ||
| PRESENT DATA | how to do storytelling based on my data | Link my story with Data visualization (S) | ||
| PRESENT DATA | what are the common OD tools? | Identify the OD tools for presenting and storytelling (K) | ||
| PROGRAMMING SKILLS | how to use data via API | Identify available APIs that allow applications creation with Open Data (K) | ||
| PROGRAMMING SKILLS | how to use data via API | Use APIs in creating applications with Open Data (S) | ||
| PROGRAMMING SKILLS | how to use data via API | Create queries that fetch data with minimum loading effort (S) | ||
| PROGRAMMING SKILLS | how to use data via API | Creating queries that retrieve data from multiple data stores (S) | ||
| PROGRAMMING SKILLS | how to use data via API | Apply complex querying concepts (S) | ||
| PROGRAMMING SKILLS | how are data structured | Perform data modelling (S) | ||
| PROGRAMMING SKILLS | how are data structured | Create data structures (S) | ||
| PROGRAMMING SKILLS | how to maintain ongoing updated information | Create dynamic displays that will be updated along with the data (S) | ||
| PROGRAMMING SKILLS | how to create live services for my city's citizens | Identify technologies that allow creation of live services with Open Data (K) | ||
| LINKED OPEN DATA | What is Linked data | Explain what Linked Data is (K) | ||
| LINKED OPEN DATA | What is Linked data | Differentiate between linked data and data on the Web in general (K) | ||
| LINKED OPEN DATA | How to work with open linked data | Retrieve linked data e.g. using SPARQL (S) | ||
| LINKED OPEN DATA | How to work with open linked data | Explain what SPARQL is and how it's different from SQL (K) | ||
| LINKED OPEN DATA | How to work with open linked data | Recall examples with SPARQL (K) | ||
| LINKED OPEN DATA | How to combine different data using LOD | Link different datasets (S) | ||
| LINKED OPEN DATA | How to transform open data to linked discoverable data | Publish open data in a machine readable way so that they become more discoverable (URIs, RDF vocabularies) (S) | ||
| LINKED OPEN DATA | How to decide which vocabularies to use for creating RDF data | Identify different vocabularies and their usage (K) | ||
| LINKED OPEN DATA | How to decide which vocabularies to use for creating RDF data | Determine which vocabularies are more useful (S) | ||
| LINKED OPEN DATA | To understand the difference in concept thinking between RDF and relational databases when publishing open data | Create triples and RDF graphs (S) | ||
| LINKED OPEN DATA | To understand the difference in concept thinking between RDF and relational databases when publishing open data | Visualize a data model using RDF graphs (S) | ||
| LINKED OPEN DATA | How to describe open datasets using DCAT | Describe open datasets using DCAT ��� AP (S) | ||
| LINKED OPEN DATA | how to annotate my data with meaning (create RDF) | Identify existing ontologies that can be used for annotation (K) | ||
| LINKED OPEN DATA | how to annotate my data with meaning (create RDF) | Decide which concepts to use for describing my data (S) | ||
| LINKED OPEN DATA | how to annotate my data with meaning (create RDF) | Identify tools available that help create RDF models of my data (K) | ||
| LINKED OPEN DATA | how to annotate my data with meaning (create RDF) | Create RDF (S) | ||
| LINKED OPEN DATA | how to use semantic standards for my data | Identify available standards for semantically annotating my data (K) | ||
| LINKED OPEN DATA | how to use semantic standards for my data | Describe semantic interoperability (K) | ||
| LINKED OPEN DATA | how to use semantic standards for my data | Use semantic standards (S) | ||
| LINKED OPEN DATA | How to identify suitable data for linking | Search for related datasets (S) |