27.10.2014 Views

Best practices Database for Living Labs - ALCOTRA - Innovation

Best practices Database for Living Labs - ALCOTRA - Innovation

Best practices Database for Living Labs - ALCOTRA - Innovation

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

12. Extension of existing database<br />

As the <strong>Living</strong> Lab movement and the <strong>Living</strong> <strong>Labs</strong> in it are maturing there is an increased need to replicate<br />

the success of some of the <strong>Living</strong> <strong>Labs</strong> in different parts in Europe. Thus the need <strong>for</strong> the definition of real<br />

best <strong>practices</strong> started to grow especially towards the end of the CO-L<strong>Labs</strong> project (ca. 1 year ago). In order<br />

to allow <strong>for</strong> the identification of <strong>Best</strong> <strong>practices</strong> in Europe an Indicator Framework had to be defined.<br />

However the topic of <strong>Living</strong> <strong>Labs</strong> is quite diverse and it is difficult to find Indicators that can be deployed as<br />

best practice indicators regardless of e.g. the thematic issues dealt with inside a <strong>Living</strong> Lab. At the same<br />

time one of the biggest problems in the <strong>Living</strong> Lab area is still that no description of a methodology or<br />

method exists which will helps to deploy a <strong>Living</strong> Lab from scratch, currently the <strong>Living</strong> Lab activities are<br />

mainly steered by case studies with limited transferability. In order to deal with this problem the <strong>Living</strong> Lab<br />

cube was developed by the partners in the CO-L<strong>Labs</strong> project, which identifies the different dimensions of a<br />

living lab and describes how to deploy them.<br />

13. <strong>Best</strong> <strong>practices</strong> criteria<br />

As part of the Corelabs project a framework was developed to assess the per<strong>for</strong>mance of <strong>Living</strong> <strong>Labs</strong><br />

according to the relevant dimensions and characteristics of living labs. Seven categories <strong>for</strong> analysis and<br />

evaluation of the <strong>Living</strong> <strong>Labs</strong> were identified. These categories are derived from the “interoperability cube”<br />

developed within the CORELABS CA (EP# 035065) .<br />

“The harmonization cube not only represents the most important elements of a <strong>Living</strong> Lab, but also enables<br />

specifying bridges between existing <strong>Living</strong> <strong>Labs</strong>, i.e., to learn from each other, benchmark the validation of<br />

user behavior studies, exchange best <strong>practices</strong>, and interconnect the <strong>Living</strong> <strong>Labs</strong>. Next to facilitating a<br />

common ground <strong>for</strong> sharing, the cube model enables recognizing the degree of harmonization of used<br />

methods and tools in <strong>Living</strong> <strong>Labs</strong>.” [4]<br />

Later on an additional indicator was added to identify the contribution of living labs to SME-<strong>Innovation</strong>.<br />

The categories are described below.<br />

Figure 27: Seven Categories<br />

The project is co-funded by the ERDF<br />

Page 67 of 78

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!