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Community innovation survey 2018 (CIS2018) (inn_cis11)

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National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung GmbH Mannheim (Centre for European Economic Research)

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The Community Innovation Survey (CIS) is a survey about innovation activities in enterprises. The survey is designed to collect the information on different types of innovation,  various aspects of the development of an innovation, objectives of innovation activities, sources of information, public funding or expenditure on innovation.  It is aim is to measure the innovativeness of sectors and enable the analysis of the factors of innovation.

 The CIS provides statistics by type of innovators, economic activities and size class of enterprises. The survey is currently carried out every two years across the EU Member States, EFTA countries and EU candidate countries.

In order to ensure comparability across countries, Eurostat together with the countries developed a Harmonised Data Collection (HDC) questionnaire accompanied by a set of definitions and methodological recommendations.

CIS 2018 concepts and its underlying methodology are based on the Oslo Manual (2018) 4th Edition.

New review of the CIS2018  aims to meet several objectives :

1: Reduce subjectivity and biases in the main CIS indicators

2: Improve reporting about innovation activities and capabilities in the firm

3: Ensure international comparability (including compliance with the OM4)

4: Broaden the basis CIS information on enterprise management

5: Take better account the diversity of enterprises in the EU

6: Improve reporting about external drivers and enablers of innovation

7: Improve timeliness

8: Ensure the feasibility of data collection

9: Ensure continuity with the CIS 2016

10: Improve reporting about the output and impact of innovation

CIS2018 is conducted under Commission Regulation No 995/2012. This Regulation defines the mandatory target population of the survey referring to enterprises in the Core NACE economic sectors (see section 3.3.) with at least 10 employees. Further activities may be covered on a voluntary basis in national datasets. Most statistics are based on the 3-year reference period (t, t-1, t-2), but some use only one calendar year (t or t-2).

Please consider CIS t to be the survey that refers to the same year of the quality report and CIS t-2 to be the previous survey e.g.: CIS  2018= CIS t then, CIS t-2=CIS 2016.

 

25 November 2020

The description of concepts, definitions and main statistical variables is available in CIS 2018 European metadata file (ESMS) Results of the community innovation survey 2018 (CIS2018) (inn_cis11) in Eurostat database.

The statistical unit of the German CIS 2018 is the legal unit according to the definition of legal unit in the Business Register of the Statistical Office of the Federal Republic of Germany.

There are some deviations to this rule in case of large, complex enterprises that are active in different NACE divisions. For some of these large, complex enterprises, the statistical unit is the business unit that best matches the activities of the enterprise that fall under a single NACE division.

Core target population are all enterprises in CORE NACE activities (see 3.3.1) with 10 or more persons employed.

The German CIS 2018 covers all enterprises in the statistical population that are located within the territory of the Federal Republic of Germany.

There is not breakdown of CIS 2018 results by NUTS regions available. The only breakdown available is by Western Germany vs. Eastern Germany.

The microdata nevertheless contain information on the location of an enterprise by NUTS 3-digit level.

For CIS 2018, the time covered by the survey is the 3-year period from the beginning of 2016 to the end of 2018.

Some questions and indicators refer to one year — 2018.

The list of indicators covering the 3-year period and referring to one year according to the HDC is available in the Annex section of the European metadata (ESMS). 

Accuracy in the statistical sense denotes the closeness of computations or estimates to the exact or true values. Statistics are not equal with the true values because of variability (the statistics change from implementation to implementation of the survey due to random effects) and bias (the average of the possible values of the statistics from implementation to implementation is not equal to the true value due to systematic effects).

 

 

CIS indicators are available according to 3 units of measure:

 

NR: Number for number of enterprises and number of persons employed.

THS_EUR: Thousands of euros. All financial variables are provided in thousands of euros, i.e. Turnover or Innovation expenditure.

PC: Percentage. The percentage is the ratio between the selected combinations of indicators.

Operations performed on data to derive new information according to a given set of rules.

See below

Differently to the CIS in most other EU member states, the German CIS is conducted every year. Results are therefore published every year. Results of an innovation survey with the reference year t are usually released in January of year t+2.

The timeliness of statistics reflects the length of time between data availability and the event or phenomenon they describe.

The same international standards, concepts and definitions (Oslo manual or Eurostat guidelines) have been applied for all geographical areas of Germany.

Due to important methodological changes in CIS 2018 driven by Oslo Manual 2018, the data 2018 cannot be directly compared with previous CIS waves.