Features

• Flexible combination of different modules for reading, processing and storing data and metadata.
• Easy expansion by adding further modules.

Challenge

In order to publish data, many organisations lack first and foremost an overview of which data is available in which quality. Data providers often work for the internal collection, evaluation and upgrading of data without meaningful IT tool support. With the help of such tools, however, individual steps can be automated before publication and thus completed much faster.

Solution

piveau staging supports internal processes before the actual publication of data. It provides tools for the semi-automated collection, evaluation and enhancement of data. These tools can be combined at will and do not dictate a rigid publishing process.

Features

• On-Premise Installation
• DCAT-AP compatibility
• Support of role-based processes
• Flexibility in process steps

Challenge

Whether data really create a benefit for the economy, the population and the administration depends strongly on its quality. Only high-quality data that is easy to locate and process allows efficient further use.

Solution

piveau.metrics simplifies this task for data-providing organizations. piveau.metrics intensively checks the data according to various quality criteria: Are the data well written, accessible and machine-readable? Regular reports show where and how data quality can be improved. In addition, metrics checks the description of the metadata for completeness and conformity to the European Metadata Specification DCAT-AP.

Features

• Generation of reports (WebUI / documents) on metadata quality, even over longer periods of time
• Native review of RDF
• Checking the accessibility of distributions / resources
• Comparison with historical results

Challenge

If existing data is to be used and redistributed, the availability and understanding of data licenses is of crucial importance. The high diversity and complexity of data licenses creates uncertainty among many users about legal restrictions on the use of data - and thus has a negative impact on possible data reuse.

Solution

piveau advocat checks the data licenses of the individual data sets and makes them understandable to the owners and users. For combined data sets with different licenses, advocat detects potential compatibility issues and informs users how the data may be used and shared. Legal uncertainties can thus be minimized.

Challenge

Administrations, public institutions and urban areas have a multitude of valuable data and data sources at their disposal, such as statistical data, sensor data and spatial planning data. These data are often distributed, in heterogeneous formats, with unclear access rights and without relevant context information. As a result, this data is difficult to find and its potential remains untapped.

Solution

piveau hub is a lightweight data catalogue for the administration and provision of metadata. As a central component of the piveau platform, piveau hub offers various functions for searching and filtering metadata entries. This means that data can be found centrally via a uniform interface by different actors. The focus is on native support of the European metadata standard DCAT-AP and related profiles.

Features

• Native support of Linked Data standards DCAT-AP, StatDCAT-AP and GeoDCAT-AP
• Extensive search and filter options
• High scalability and performance

Challenge

Increasingly comprehensive catalogues with heterogeneous data in various formats place new demands on user interaction and usability. In particular, the cross-device use, the display of real-time information and the possibility of quick adaptations, require the use of the latest approaches in the implementation of the user interface.

Solution

piveau ui is a modern and customizable web interface for the use and administration of extensive data catalogues. The single-page web application provides user-friendly and fast access to a wide range of data through a variety of filter and search options.

Features

• Easy customization and expansion options
• Exchangeable data backend, e.g. CKAN or piveau hub
• Responsive design for optimal use on different output devices

Challenge

Data protection is of high priority in Germany and the European Union. Before data can be published, it must be checked whether it contains sensitive content that is questionable under data protection law. In case of doubt, such content must be modified in such a way that the protection of privacy is guaranteed while the statistical significance of the data is preserved.

Solution

piveau.incognito makes both possible: incognito checks the data for its anonymization needs and also carries out this process on request.

Features

• Recognition of anonymization needs
• In-house anonymization
• Use of state of the art anonymization algorithms

Challenge

Meaningful metadata can provide critical information about the quality and content of open data. For the actual decision to use this data, a direct insight into the data is unavoidable. Direct and efficient preview mechanisms are therefore a key function for a successful data platform. The heterogeneous data formats and standards pose a particular challenge.

Solution

piveau charts enables the uncomplicated creation of meaningful visualizations based on geo-information or tabular data. Based on a semantic analysis, suitable visualization options can be suggested and automatically generated.

Features

• Various types of visualization: line diagrams, bar charts, maps, etc.
• Intelligent semantic support
• Export functionality