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2.2 Demand for skills in ICT SMEs SURVEY - Coggle Diagram
2.2 Demand for skills in ICT SMEs
SURVEY
LOCATION INTEROPERABILITY
Analyse the skills shortages, gaps and mismatches between the supply of vocational and academic training
Develop a form and an interview model
Identify skills shortages, gaps and mismatches between professional and academic training
1. Majority sectors
Software development/distribution sector (52%)
Environment (21%)
Industry (20%)
Agriculture (18%)
Transportation and logistics (18%)
Energy (18%)
Architecture, engineering and construction (16%)
Mobility (11%)
Urban Planning (12%)
TODO: Parallels with Data Spaces
2. Less represented sectors
Utilities (10%)
Health (7%)
Tourism and hospitality (7%)
Real estate (4%)
Cultural heritage (4%)
3. Roles of respondend
Project managers (29%)
Chief executives (22%)
Trainers, professors and researchers (20%)
1. Knowledge and Needs
(location data interoperability)
Intermediate level (46%)
Expert level (32%)
Basic level (26%)
Not familiar (12%)
2. Basis identification of
knowledge, skills
and competences
Frequent
Data format compatibility integrating geospatial data formats with other geospatial or non-geospatial data (70%)
Problems of interoperability when using and exchanging location data ross different tools, platforms, or software systems (64%)
Data access and sharing problems due to legal or licensing restrictions (56%)
Lack of sharing standards (56%)
Converting geospatial data provided with different coordinate systems (55%)
A few
Problems when sharing, exchanging and using location data generated and managed by multiple organisations (40%)
Problems with schema mapping and data harmonization/transformation (35%)
Legal interoperability problems regarding security, data protection (29%)
4. General conclusion
knowledge, skills and competences
Lack of knowledge of the
majority of the tools and
standards for sharing and
integrating data
Lack of intermediate
and advanced skills
3. Types of non-location data
for integration
Image and raster data (satellite imagery, aerial photographs, or scanned maps) (61%).
Temperature, humidity, air quality, or any other meteorological or environmental parameters. (48%)
Business data (customer information, sales data or stock market data) (34%)
Demographic information or population statistics (32%)
Economic indicators (23%)
Healthcare statistics (19%)
Cultural heritage (15%)
Social media data (social media feeds, check-ins, and user-generated content) (9%)
1. Knowledge and Needs
(Standards)
Web Map Service WMS, Web Feature
Service WFS, and Web Coverage Service WCS
Expert, Intermidiate (60%)
No knowledge (17%)
Spatial Metadata Standards
not having any knowledge or a basic one (50%)
expert (only few)
Spatial Processing and
Analysis Standards
not having any knowledge or a basic one (37%)
expert (only few)
Unknown tools
and standards
Sensor Data Standards (40%)
3D and city model standards (37%)
Semantic Web Standards (42%)
2. Known Tools and Standards
(Intermediate or expert level)
GIS software tools
, with more than 70% of the respondents with intermediate (28%) or expert level (43%).
Web Services Standards
,(intermediate (25%, expert 37%)
Spatial Metadata Standards
, (intermediate 13%, expert level 31%).
Integration Conversion and Transformation tools,
(intermediate 31%, expert 14%).
Spatial Processing and Analysis Standards
,
(intermediate 17%, expert level(11%, 34% no knowledge)
Sensor Data Standards
,
(intermediate 20%, expert level 8%,39% no knowledge)
3D and city model standards
,
(intermediate 20%, or expert level 5%, and 37% no knowledge)
Semantic Web Services standards
,
(intermediate 20%, or expert level 5%, and 42% no knowledge)
GENERAL CONCLUSION
Format compatibility,
Problems integrating geospatial data formats with other geospatial or non-geospatial data stored in various formats
Interoperability between tools and platforms
Problems when using and exchanging location data across different tools, platforms, or software systems
