Knowledge Base

About this tool

The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.

Knowledge base data visualization

knowledge base data graph

Explore the knowledge base data graph.

Explore


Improve the Knowledge Base

Are you aware of an asset that can help enrich the BPC KB? Share it with us and be named contributors to our work.

Fill in the questionnaire


Displaying 1 - 10 of 16

The focus group, that has been conducted with domain experts in the fields social security and institutional question on local and regional level has proven one more time, that strategic planning is fundamental important. For its success, the focus group advised to fund long-term digitisations strategies adequately, as this is essential for the implementation of new tasks.

In: Needs

Evaluation represents a separate stage in the policy cycle, but has to be pointed out as an own need in public administration. Evaluation decides whether a policy will be finished, modified and/or continued. At the same time, it can inform about results and consequences (intended and not intended). Only if policies are evaluated, potential improvement will be identified and at best implemented. In this context, it should be emphasised that a policy is never completed and is always evolving. This makes a qualitative and regular evaluation essential.

In: Needs

Public management has to react to changes in national and global contexts. A current key driver for changes can be seen in the Europeanisation, which affects the level of member states, caused by EU integration processes. Successful administrative action in the multilevel European system requires adjustments, ensuring efficient dealing with European objectives.

In: Needs

It is most important to take into account the state-specific circumstances, as well as local and regional specificities. For example, the German public administration differs fundamentally from public administration in other countries. Solutions that were identified as right and expedient for one country are not automatically useful in another. The possibilities of implementation will vary due to diverse traditions and organisational cultures.

In: Needs

A relevant but also critical factor in public management is the staff. It is important to recruit junior staff and specialists, which can manage the given challenges and have the necessary skills and technical knowledge to promote the digital transformation. Particularly in view of the demographic developments, it seems essential to recruit new staff and retain them in the long term.[1]

In: Needs

Public sector has to deliver services to citizens despite resource constraints and budgetary pressures. Because of this personnel and financial limitations, available resources must be used as cost saving and valuable as possible.

In: Needs

In 2001, the industry analyst Douglas Laney at Gartner described data management challenges along the three dimensions volumes, velocity and variety in the E-commerce branch. Volumes stands for the quite huge increase of volumes of data, Velocity for increased point-of-interaction speed and the pace of data generated by interactions and used to support interactions. Data Variety means variety of incompatible data formats, non-aligned data structures and inconsistent data semantics. This 3-V-model has been widely used attempting to define big data since this publication in 2001. [1]

In: Trends

Predictive analytics brings together advanced analytics capabilities. It extracts information from existing data sets in order to determine patterns and predict future impacts and trends. It forecasts what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk assessments.[1]
Data analytics encompasses techniques such as regression analysis, pattern matching, forecasting, multivariate statistics, predictive modelling and forecasting. [2]

In: Trends

Privacy by design is an approach that promotes privacy and data protection compliance throughout the whole system engineering process. The Information & Privacy Commissioner of Ontario has taken a leading role in developing the privacy by design concept, establishing a reference framework of “Seven foundational principles of privacy by design” with respect to a proactive, transparent and user-centric engineering process. [1][2]
The 7 principles are:
•    Proactive not Reactive; Preventative not Remedial
•    Privacy as the Default setting

In: Trends

Security by design is an approach in software engineering that promotes to design software from the ground up to be secure.
Core pillars of information security are confidentiality (only allow access to data for which the user is permitted), integrity (ensure data is not tampered or altered by unauthorized users) and availability (ensure systems and data are available to authorized users when they need it). [1]

 

In: Trends

Open data - Download the Knowledge base

You are free to download the data of this Knowledge base.

To do this you must be an authenticated user: log in or sign in now.

All the data are licensed as Creative Common CC-BY 4.0.