Category S+T.6 explores other impacts of the facility on companies. The required information is collected through qualitative and quantitative indi-cators.
Indicators:
S+T.6.1: Scientific and analytical services S+T.6.2: Customers and contracts S+T.6.3: Industrial use
S+T.6.4: Revenues
S+T.6.5: Joint R&D projects with industries
S+T.6.6: Scientific papers cited in industrial patents
S+T.6.7: Benefits from improved general services and infrastructures
S+T.6.1: Scientific and analytical services Relevance:
This indicator describes the scientific and analytical services offered by the facility and their benefits for the customers.
Compilation:
• Identify and describe the scientific and analytical services offered by the facility to external customers and the benefits from these services for the customers. Examples in the form of narratives may be used to illustrate services and benefits (ex-ante and ex-post).
Definitions and explanations:
None
Data sources and collection methods:
• Analysis of facility documents (as e.g. annual reports, information materials about such services, project proposal) and websites
• Interviews with internal experts involved in such services, such as e.g. the industrial liaison officer or scientific and technical staff Data analysis methods:
• Descriptive content analysis
• Narratives References:
None
S+T.6.2: Customers and contracts Relevance:
This indicator describes the facility’s industrial customers and the con-tracts awarded to the facility by these customers.
Compilation:
• Identify and report the number and type of customers awarding or expected to award contracts to the facility in a suitable time period such as e.g. one year or five years (ex-ante, ex-post).
• Identify and report the (expected) types of contracts and their monetary volume (in €).
• Identify and report the number and type of customers awarding contracts to reference facilities in a suitable time period such as e.g.
one year or five years (ex-ante).
Definitions and explanations:
None
Data sources and collection methods:
• Interviews with the project coordinator and/or other suitable ex-perts involved in the project or the facility management (e.g. the project’s scientific manager, HR manager, financial manager)
• Analysis of project proposal and/or other relevant project docu-ments
Data analysis methods:
S+T.6.3: Industrial use Relevance:
This indicator provides information about proprietary and non-proprie-tary industrial users and their firms.
Compilation:
• Identify and report the numbers and of (expected) proprietary and non-proprietary industrial users of the facility and the number of user firms involved in proprietary and non-proprietary research (ex-ante and ex-post).
• If possible, identify also the types of firms (SMEs or large enterpris-es) involved in such research activities, the large sectors in which they are operating, and their geographic provenience.
Definitions and explanations:
Industrial sector refers here to a class of companies with comparable products, e.g. chemicals, automotive, pharmaceuticals, electronics, precision instrumentation, semiconductors, food, oil, software, etc.
SME refers to companies with up to 250 employees / workers.
Large enterprise refers to companies with more than 250 employees / workers.
If significant for the discussion of the impacts, also a further break-down and/or other classifications may be used.
Data sources and collection methods:
• Analysis of facility documents (e.g. annual reports, internal reports of involved facility departments, project proposal) and internal
Data analysis methods:
• Descriptive content analysis References:
None
S+T.6.4: Revenues Relevance:
This indicator describes the (expected) revenues from the commercial activities of the (new) RI. Revenues indicate that customers benefit from proprietary access, IPRs (licensing), products and technologies and/or other services of the facility to such an extent that they are willing to pay for them. The extra income achieved by the facility can support further activities and lead to additional benefits.
Compilation:
• Identify and describe major sources of revenues obtained or ex-pected by the (new) RI (ex-ante and ex-post).
• Identify and report the revenues (in €) obtained or expected by the (new) RI, distinguishing between major categories such as propri-etary use, scientific and analytical services, royalties from IPRs, and sales of products or components (ex-ante and ex-post).
Definitions and explanations:
Proprietary use or access refers to research for which the knowledge, technical data and inventions generated during the scientific work are treated as proprietary by the user. Results are not published in the open literature.
Intellectual Property Right: Intellectual property refers to creations of the mind: inventions, literary and artistic works, and symbols, names, images, and designs used in commerce. IP is divided into two catego-ries: Industrial property, which includes inventions (patents),
trade-patent to a licensee. A license is also a legal contract, and so it will set out the terms upon which the exploitation rights are granted, including performance obligations that a licensee must comply with (WIPO).
Data sources and collection methods:
• Analysis of documents, e.g. project proposal or annual / financial reports
• Interviews with suitable experts involved in the project or the facility management (e.g. project coordinator, CEO, industrial liaison officer, etc.)
• Analysis of documents from reference facilities, e.g. annual or financial reports
• Interviews with suitable experts from reference facilities, e.g.
CEO or industrial liaison officer Data analysis methods:
• Descriptive content analysis
• Case studies of reference facilities References:
World Intellectual Property Organisation WIPO, on http://www.wipo.int/about-ip/en
S+T.6.5: Joint R&D projects with industry Relevance:
This indicator describes joint R&D projects with industrial partners and their benefits.
Compilation:
• Identify and describe major (planned) research projects with com-panies. If data are available, report also about their funding, bud-gets, geographic provenience and types (SMEs or large enterprises) of involved industrial partners (ex-ante and ex-post).
• Report also the impacts of such projects. In order to illustrate the impacts, examples in the form of narratives about the perception of the project partners may be used (ex-ante and ex-post).
• In order to illustrate possible projects, major joint research projects of reference facilities with companies can also be used. If data are available, report also for such projects the details listed above (ex-ante).
• Report also the perceived / expected impacts of such projects, pro-viding examples in the form of narratives (ex-ante).
Definitions and explanations:
Geographic provenience: Distinguish between host region, host coun-try, EU, other European countries, non-European countries. If required, use a more detailed break-down.
Funding: Distinguish between funding by the industrial partner, the facility, and third parties. If required, make further distinctions (e.g. EC, regional, national).
SME refers to companies with up to 250 employees / workers.
down and/or other classifications may be used.
Data sources and collection methods:
• Analysis of facility documents, e.g. annual reports, internal proj-ect reports, and projproj-ect proposals, and internal databases, e.g.
project database (ex-post studies)
• Expert interviews with internal staff and staff from industrial proj-ect partners (ex-post studies)
• Secondary data analysis of documents from reference facilities, e.g. annual reports, internal project reports, and project propos-als, and internal databases, e.g. project database (ex-ante
stud-• Expert interviews with internal staff and staff from industrial proj-ies) ect partners of reference facilities (ex-ante studies)
Data analysis methods:
• Descriptive content analysis
• Narratives
• Case studies of reference laboratories References:
None
S+T.6.6: Scientific papers cited in industrial patents Relevance:
This indicator describes the number of scientific papers published by researchers of the facility that have been cited in industrial patents.
Such citations indicate that new knowledge created at the facility has been transferred to industries and used there in order to generate in-novations.
Compilation:
• Identify and report the numbers of scientific papers published by researchers of the RI that have been cited in industrial patents during the last five years and in total since the RI project has been started, including the construction phase (ex-post; if relevant also in ex-ante studies, e.g. if construction has already started).
• Identify and report the numbers of scientific papers published by researchers of a suitable reference facility that have been cited in industrial patents during the last five years and in total since the project for the reference RI has been started, including the con-struction phase (ex-ante). Estimate on this basis how many cita-tions in industrial patents may be expected from the new RI.
Definitions and explanations:
None
Data sources and collection methods:
• Interviews with suitable experts such as e.g. the facility’s
technol-Data analysis methods:
• Descriptive content analysis
• Case studies of reference laboratories References (examples):
EPO, European Patent Office, on http://www.epo.org
WIPO, World Intellectual Property Organisation, on http://www.wipo.int/portal/index.html.en
USPTO, United States Patent and Trademark Office, on http://www.uspto.gov
JPO, Japanese Patent Office, on http://www.jpo.go.jp/index.htm
S+T.6.7: Benefits from improved general services and infrastructures Relevance:
This indicator describes the benefits that companies have from general services and infrastructures improved in the framework of the RI proj-ect. This includes e.g. IT services, financial services, waste treatment, transportation, and supply with energy of water.
Compilation:
• Identify and report the benefits for companies from better general services and infrastructures, which have been or will be improved in the framework of the RI project (ex-ante and ex-post).
Definitions and explanations:
None
If significant for the discussion of the impacts, also a further break-down and/or other classifications may be used.
Data sources and collection methods:
• Interviews with suitable experts involved in the project or the facil-ity management (e.g. project coordinator, CEO, head of civil engi-neering, scientific manager, etc.)
• Interviews with suitable experts from service providers (IT, energy, water, waste, private transportation, etc.) or public administrations (public transportation)
Data analysis methods:
• Descriptive content analysis