Combined curricular and verbs output file

AREA TOPIC LO VERB TYPE LEVEL
CULTURE what open data are State what makes open data open (K) State K 1_Remembering
CULTURE what open data are Describe the basis of open data (K) Describe K 2_Understanding
CULTURE what open data are Explain the general process, lifecycle, and potential of open data (K) Explain K 5_Evaluating
CULTURE why I would open up data Recall good OD examples (K) Recall K 1_Remembering
CULTURE why I would open up data Identify key impacts and benefits of opening up data (K) Identify K 1_Remembering
CULTURE why I would open up data Name the economic benefits (K) Name K 1_Remembering
CULTURE why I would open up data Describe where we expect open data to be of value (K) Describe K 2_Understanding
CULTURE why I would open up data Explain why to open up my research data (K) Explain K 5_Evaluating
CULTURE why I would open up data Determine which data would be beneficial to be opened or published (K) Determine K 5_Evaluating
CULTURE why I would open up data Explain that open data is not an existential threat to the sector (K) Explain K 5_Evaluating
CULTURE how open data creates value Describe the sector-wide benefits of open data (K) Describe K 2_Understanding
CULTURE how open data creates value Explain how OD creates value (K) Explain K 5_Evaluating
CULTURE how open data creates value Explain how OD creates value in an education setting (K) Explain K 5_Evaluating
CULTURE who are the key actors in the OD world? Recall actors in an open data ecosystem (K) Recall K 1_Remembering
CULTURE who are the key actors in the OD world? Identify the data community (K) Identify K 1_Remembering
CULTURE who are the key actors in the OD world? Identify ways to engage with journalists and other relevant public domain actors (K) Identify K 1_Remembering
CULTURE what the opportunities are for the public sector Recall examples and inspiration for public sector (K) Recall K 1_Remembering
CULTURE what the opportunities are for the private sector Recall examples and inspiration for private sector (K) Recall K 1_Remembering
CULTURE what the opportunities are for the private sector Recall success stories of start-ups and businesses built on Open Data (K) Recall K 1_Remembering
CULTURE what the opportunities are for the private sector Identify ways to start innovating collaboratively (K) Identify K 1_Remembering
CULTURE what the opportunities are for the private sector Explain the advantages or disadvantages against my business competitors to open my data (K) Explain K 5_Evaluating
CULTURE what is the value of open data in the social sector Recall examples and inspiration for the social sector (K) Recall K 1_Remembering
CULTURE what is the value of open data in the social sector Explain how OD can address social challenges (K) Explain K 5_Evaluating
CULTURE what the impact is of open data on society, business and public policy Recall examples of OD across sectors (K) Recall K 1_Remembering
CULTURE what is the connection between open data and open standards? Explain data licenses (K) Explain K 5_Evaluating
CULTURE what is the connection between open data and open standards? Describe semantic interoperability (K) Describe K 2_Understanding
MANAGEMENT which of my data are of value/needed/demanded Recognize which dataset is in a convenient and modifiable form (K) Recognize K 2_Understanding
MANAGEMENT which of my data are of value/needed/demanded Identify which data sets add the most value to clients (K) Identify K 1_Remembering
MANAGEMENT which of my data are of value/needed/demanded Identify how the specific dataset provides value (S) Identify S 1_Remembering
MANAGEMENT which of my datasets can be used to solve a problem Identify which dataset provides the appropriate information (K) Identify K 1_Remembering
MANAGEMENT which of my datasets can be used to solve a problem Identify the proper dataset (K) Identify K 1_Remembering
MANAGEMENT how to collaborate with stakeholders Recognize different collaboration methods (K) Recognize K 2_Understanding
MANAGEMENT how to engage with the (potential) data users in a sustainable way Identify ways to engage with users (K) Identify K 1_Remembering
MANAGEMENT how to provide feedback possibilities on the data Produce feedback possibilities on the data (S) Produce S 6_Creating
MANAGEMENT how to create a community around my data Identify ways to create a community (K) Identify K 1_Remembering
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) Identify K 1_Remembering
MANAGEMENT which data format is best for my users Identify different data formats (K) Identify K 1_Remembering
MANAGEMENT which data format is best for my users Choose the right format for my user (S) Choose S 5_Evaluating
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) Decide K/S 5_Evaluating
MANAGEMENT how to annotate data so that they are correctly understood Add metadata about the meaning of the fields, datatypes used, ��_ (S) Add S 3_Applying
MANAGEMENT how to add proper metadata when publishing Provide metadata in a machine readable way (S) Provide S 3_Applying
MANAGEMENT where to find open data that could be useful List existing open data portals (K) List K 1_Remembering
MANAGEMENT where to find open data that could be useful Search an open data portal (S) Search S 3_Applying
MANAGEMENT where to find open data that could be useful Identify and evaluate data sources (K/S) Identify K/S 1_Remembering
MANAGEMENT where to find open data that could be useful Locate reliable data sources (S) Locate S 3_Applying
MANAGEMENT where to find open data that could be useful List relevant keywords (K) List K 1_Remembering
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) Identify K 1_Remembering
MANAGEMENT what about ethics Discuss ethics in relation to OD (K) Discuss K 6_Creating
MANAGEMENT what about legalities Recall legalities in relation to OD (K) Recall K 1_Remembering
MANAGEMENT what about legalities Explain rules concerning Intellectual property (K) Explain K 5_Evaluating
MANAGEMENT what about legalities Explain licenses, decrees, basic law, European legislature (K) Explain K 5_Evaluating
MANAGEMENT what about open data licenses, why and how to apply those Choose the right license (S) Choose S 5_Evaluating
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) Verify S 4_Analyzing
MANAGEMENT what about open data licenses, why and how to apply those Explain creative commons and open data licenses (K) Explain K 5_Evaluating
MANAGEMENT what about privacy & security Identify the known security issues when using open data (K) Identify K 1_Remembering
MANAGEMENT what about privacy & security Identify the indirect or circumstantial risks regarding privacy while using open data (K) Identify K 1_Remembering
MANAGEMENT what about privacy & security Explain what is considered sensitive / private data (K) Explain K 5_Evaluating
MANAGEMENT how to make a roadmap for OD Produce vision setting for open data publication (S) Produce S 6_Creating
MANAGEMENT how to make a roadmap for OD Identify the organisational opportunities from open data (K) Identify K 1_Remembering
MANAGEMENT how to make a roadmap for OD Manage data programs (S) Manage S 3_Applying
MANAGEMENT how to make a roadmap for OD Setting clear visions for open data use (S) Setting S 3_Applying
MANAGEMENT how to make a roadmap for OD Operate change management (S) Operate S 3_Applying
MANAGEMENT how to get everyone one board (strategy & technical) Facilitate relevant workshop sessions (S) Facilitate S 3_Applying
MANAGEMENT how to get everyone one board (strategy & technical) Lead change programs (S) Lead S 3_Applying
MANAGEMENT how to get everyone one board (strategy & technical) Communicate about OD in my organisation and with partners (S) Communicate S 2_Understanding
MANAGEMENT how to get everyone one board (strategy & technical) Calculate cost and "profit" (or cost reduction in the long term) (S) Calculate S 2_Understanding
MANAGEMENT how to get everyone one board (strategy & technical) Speak to non-technical audiences about open data (S) Speak S 3_Applying
MANAGEMENT which international standards to use Discuss international standards (K) Discuss K 6_Creating
MANAGEMENT which international standards to use Name the specifications for geographical data e.g. INSPIRE (Infrastructure for Spatial Information in Europe) (K) Name K 1_Remembering
MANAGEMENT which international standards to use Summarize abilities on exploiting open data in GIS systems (K) Summarize K 2_Understanding
MANAGEMENT which international standards to use Embed international standards in our work and software (K/S) Embed K/S 3_Applying
MANAGEMENT how to move to a data-driven decision making process Discuss data-driven decision-making approaches (K) Discuss K 6_Creating
MANAGEMENT how to share and exchange data? Explain how to exchange data (K) Explain K 5_Evaluating
MANAGEMENT how to share and exchange data? Explain how to merge data (K) Explain K 5_Evaluating
MANAGEMENT how to share and exchange data? Explain how to share data (K) Explain K 5_Evaluating
BUSINESS how to use OD to improve or products/services Identify best practices that raise productivity (K) Identify K 1_Remembering
BUSINESS how to use OD to improve or products/services Uncover consumer preferences, allowing companies to improve new products/services (S) Uncover S 3_Applying
BUSINESS how to use open data to create something Identify different kinds of applications I can create with open data (K) Identify K 1_Remembering
BUSINESS how to use open data to create something Identify other application areas where open data can be exploited (K) Identify K 1_Remembering
BUSINESS how to use open data to increase our efficiency Identify how performance can be enhanced by open data (K) Identify K 1_Remembering
BUSINESS how to use open data to increase our efficiency Spreading best practices that raise productivity (S) Spreading S 3_Applying
BUSINESS how to use open data to increase our efficiency Identify benefits from easier access to information, content and knowledge (K) Identify K 1_Remembering
BUSINESS how to grow my business using open data Analyse patterns and trends using open data (S) Analyse S 4_Analyzing
BUSINESS how to grow my business using open data Evaluate business plans using open data (S) Evaluate S 5_Evaluating
BUSINESS how to grow my business using open data Adapt business models to open data policy (S) Adapt S 6_Creating
BUSINESS how to grow my business using open data Identify how to reach more customers, or provide enhanced services to existing customers (K) Identify K 1_Remembering
BUSINESS how to grow my business using open data Identify how open data is supporting growth by revealing opportunities for businesses (K) Identify K 1_Remembering
BUSINESS how to start a business with open data Set up a business strategy with open data (S) Set S 3_Applying
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) Define S 1_Remembering
BUSINESS how to make my creation/product/service sustainable Identify tools or services that are well-placed to help (K) Identify K 1_Remembering
BUSINESS how to make my creation/product/service sustainable Identify how the product/service meets customer needs (S) Identify S 1_Remembering
BUSINESS how to make my creation/product/service discoverable Identify tools or services that are well-placed to help (K) Identify K 1_Remembering
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) Identify K 1_Remembering
OBTAINING DATA where to find OD Identify existing open data portals (local, regional, country level) (K) Identify K 1_Remembering
OBTAINING DATA where to find OD Explain how datasets have been tagged with metadata (K) Explain K 5_Evaluating
OBTAINING DATA where to find OD Search an open data portal (S) Search S 3_Applying
OBTAINING DATA where to find OD Navigate an open data portal (S) Navigate S 3_Applying
OBTAINING DATA which data to use Identify data of interest (K) Identify K 1_Remembering
OBTAINING DATA how to download and explore a dataset Download and explore a dataset (S) Download S 2_Understanding
OBTAINING DATA how to blend open data with other Identify suitable data for blending (K) Identify K 1_Remembering
OBTAINING DATA how to blend open data with other Knowledge of tools that allow data blending (Alteryx, Open Refine, ��_) (K) Knowledge K 2_Understanding
OBTAINING DATA how to blend open data with other Handle interoperability issues and use existing standards (S) Handle S 3_Applying
OBTAINING DATA how to convert from one format to another Convert data files into useful formats (S) Convert S 3_Applying
OBTAINING DATA what about licenses? Verify that the license used allows for the re-use the user wants (S) Verify S 4_Analyzing
OBTAINING DATA how to retrieve data from data stores Create queries that fetch data with minimum loading effort (S) Create S 6_Creating
OBTAINING DATA how to retrieve data from data stores Create queries that retrieve data from multiple data stores (S) Create S 6_Creating
OBTAINING DATA how to retrieve data from data stores Describe complex querying concepts (K) Describe K 2_Understanding
OBTAINING DATA what are the common OD tools? Identify available tools to obtain data (K) Identify K 1_Remembering
SCRUBBING DATA how to filter out sensitive data Employ anonymizing skills (S) Employ S 3_Applying
SCRUBBING DATA how can I check the quality of my data Discover what the original source of the data is (S) Discover S 4_Analyzing
SCRUBBING DATA how can I check the quality of my data Reproduce evaluation criteria for good quality of data (K) Reproduce K 2_Understanding
SCRUBBING DATA how can I check the quality of my data Determine the quality level of open data (S) Determine S 5_Evaluating
SCRUBBING DATA how can I check the quality of my data Untangle data (S) Untangle S 3_Applying
SCRUBBING DATA how can I check the quality of my data Identify if my data needs cleaning (S) Identify S 1_Remembering
SCRUBBING DATA how can I check the quality of my data Deal with unclear/incomplete data (S) Deal S 3_Applying
SCRUBBING DATA understand the validity of open data Identify how correct is the information in the datasets (S) Identify S 1_Remembering
SCRUBBING DATA understand the validity of open data Discover where potential problems are, if any (S) Discover S 4_Analyzing
SCRUBBING DATA how to clean data Explain how to clean data (K) Explain K 5_Evaluating
SCRUBBING DATA how to clean data Perform cleaning methods (S) Perform S 3_Applying
SCRUBBING DATA how to clean data Understanding the challenges of messy data (K) Understanding K 2_Understanding
SCRUBBING DATA how to handle redundancy in data collection Perform record deduplication and/or record merging (S) Perform S 3_Applying
SCRUBBING DATA what are the common OD tools? Identify available tools to clean my data (K) Identify K 1_Remembering
EXPLORE DATA how to analyse data Use analytics tools (S) Use S 3_Applying
EXPLORE DATA how to analyse data Identify the proper analysis method to perform based on my objective (K/S) Identify K/S 1_Remembering
EXPLORE DATA how to analyse data Perform practical data analysis (S) Perform S 3_Applying
EXPLORE DATA how to analyse data Identify different technologies that allow data analysis (K) Identify K 1_Remembering
EXPLORE DATA how to analyse data Decide what type of analysis is more suitable for my data (K/S) Decide K/S 5_Evaluating
EXPLORE DATA how to exploit statistical open data Search for statistical open data (S) Search S 3_Applying
EXPLORE DATA how to exploit statistical open data Perform analytics on statistical data (S) Perform S 3_Applying
EXPLORE DATA what are the common OD tools? Locate and use practical tools (K/S) Locate K/S 3_Applying
EXPLORE DATA how to handle a lot of data Work with big data sets (S) Work S 3_Applying
VISUALIZE DATA how to create a visualization Identify available technologies for creating visualizations (K) Identify K 1_Remembering
VISUALIZE DATA how to create a visualization Use visualization software(s) (S) Use S 3_Applying
VISUALIZE DATA how to create a visualization Apply simple ranking of data, proportions and distributions etc. (S) Apply S 3_Applying
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) Identify K/S 1_Remembering
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) Navigate S 3_Applying
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) Identify K 1_Remembering
VISUALIZE DATA how to create visualizations with geographical data (maps) Identify methods / technologies required for map visualizations with open data (K) Identify K 1_Remembering
VISUALIZE DATA how to work with dashboards Create a dashboard (S) Create S 6_Creating
VISUALIZE DATA what are the common OD tools? Identify the OD tools for visualization (K) Identify K 1_Remembering
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) Identify K 1_Remembering
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) Explain K 5_Evaluating
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) Identify K 1_Remembering
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) Develop S 6_Creating
MODELLING DATA how to create visualizations that are meaningful (e.g. predictions, statistical analysis etc.) Recall existing success stories (K) Recall K 1_Remembering
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) Identify K 1_Remembering
MODELLING DATA what are the common OD tools? Identify the OD tools for modelling (K) Identify K 1_Remembering
INTERPRET DATA how to understand the data Interpret data (S) Interpret S 5_Evaluating
INTERPRET DATA how to understand the data Explain what data means and its value (K) Explain K 5_Evaluating
INTERPRET DATA how to understand the data Explain how data has been structured and organised (K) Explain K 5_Evaluating
INTERPRET DATA how to interpret findings Interpret findings (S) Interpret S 5_Evaluating
INTERPRET DATA how to validate output Validate the output / results of e.g. OD visualizations (S) Validate S 4_Analyzing
INTERPRET DATA what are the common OD tools? Identify the OD tools for interpreting (K) Identify K 1_Remembering
PRESENT DATA how to present data Present data (S) Present S 2_Understanding
PRESENT DATA how to present data Determine what statistical methods to use for specific situations (K/S) Determine K/S 5_Evaluating
PRESENT DATA how to present data Pick a visualization that cleanly and powerfully tells a story from the data (S) Pick S 1_Remembering
PRESENT DATA how to present data Perform information graphics (S) Perform S 3_Applying
PRESENT DATA how to do storytelling based on my data Link my story with Data visualization (S) Link S 3_Applying
PRESENT DATA what are the common OD tools? Identify the OD tools for presenting and storytelling (K) Identify K 1_Remembering
PROGRAMMING SKILLS how to use data via API Identify available APIs that allow applications creation with Open Data (K) Identify K 1_Remembering
PROGRAMMING SKILLS how to use data via API Use APIs in creating applications with Open Data (S) Use S 3_Applying
PROGRAMMING SKILLS how to use data via API Create queries that fetch data with minimum loading effort (S) Create S 6_Creating
PROGRAMMING SKILLS how to use data via API Creating queries that retrieve data from multiple data stores (S) Creating S 6_Creating
PROGRAMMING SKILLS how to use data via API Apply complex querying concepts (S) Apply S 3_Applying
PROGRAMMING SKILLS how are data structured Perform data modelling (S) Perform S 3_Applying
PROGRAMMING SKILLS how are data structured Create data structures (S) Create S 6_Creating
PROGRAMMING SKILLS how to maintain ongoing updated information Create dynamic displays that will be updated along with the data (S) Create S 6_Creating
PROGRAMMING SKILLS how to create live services for my city's citizens Identify technologies that allow creation of live services with Open Data (K) Identify K 1_Remembering
LINKED OPEN DATA What is Linked data Explain what Linked Data is (K) Explain K 5_Evaluating
LINKED OPEN DATA What is Linked data Differentiate between linked data and data on the Web in general (K) Differentiate K 4_Analyzing
LINKED OPEN DATA How to work with open linked data Retrieve linked data e.g. using SPARQL (S) Retrieve S 2_Understanding
LINKED OPEN DATA How to work with open linked data Explain what SPARQL is and how it's different from SQL (K) Explain K 5_Evaluating
LINKED OPEN DATA How to work with open linked data Recall examples with SPARQL (K) Recall K 1_Remembering
LINKED OPEN DATA How to combine different data using LOD Link different datasets (S) Link S 3_Applying
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) Publish S 3_Applying
LINKED OPEN DATA How to decide which vocabularies to use for creating RDF data Identify different vocabularies and their usage (K) Identify K 1_Remembering
LINKED OPEN DATA How to decide which vocabularies to use for creating RDF data Determine which vocabularies are more useful (S) Determine S 5_Evaluating
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) Create S 6_Creating
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) Visualize S 3_Applying
LINKED OPEN DATA How to describe open datasets using DCAT Describe open datasets using DCAT ��� AP (S) Describe S 2_Understanding
LINKED OPEN DATA how to annotate my data with meaning (create RDF) Identify existing ontologies that can be used for annotation (K) Identify K 1_Remembering
LINKED OPEN DATA how to annotate my data with meaning (create RDF) Decide which concepts to use for describing my data (S) Decide S 5_Evaluating
LINKED OPEN DATA how to annotate my data with meaning (create RDF) Identify tools available that help create RDF models of my data (K) Identify K 1_Remembering
LINKED OPEN DATA how to annotate my data with meaning (create RDF) Create RDF (S) Create S 6_Creating
LINKED OPEN DATA how to use semantic standards for my data Identify available standards for semantically annotating my data (K) Identify K 1_Remembering
LINKED OPEN DATA how to use semantic standards for my data Describe semantic interoperability (K) Describe K 2_Understanding
LINKED OPEN DATA how to use semantic standards for my data Use semantic standards (S) Use S 3_Applying
LINKED OPEN DATA How to identify suitable data for linking Search for related datasets (S) Search S 3_Applying
Download CSV