documentation types
The characteristics of internal and external documentation types aligned with the product life cycle and their specific content types.
Data entry clerks update, maintain and retrieve information held on computer systems. They prepare source data for computer entry by compiling and sorting information, process customer and account source documents by reviewing data for deficiencies and verify entered customer and account data.
Competences and skills
34 ESCO relationsEssential knowledge 4 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
3 competencesquery languages
The field of standardised computer languages for retrieval of information from a database and of documents containing the needed information.
digital
resource description framework query language
The query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).
digital
Cross-sector
1 competencedatabase
The classification of databases, that includes their purpose, characteristics, terminology, models and use such as XML databases, document-oriented databases and full text databases.
digital
Essential skills and competences 6 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
2 competencesapply information security policies
Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.
maintain data entry requirements
Uphold conditions for data entry. Follow procedures and apply data program techniques.
digital
Cross-sector
4 competencesapply statistical analysis techniques
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
digital
perform data cleansing
Detect and correct corrupt records from data sets, ensure that the data become and remain structured according to guidelines.
digital
process data
Enter information into a data storage and data retrieval system via processes such as scanning, manual keying or electronic data transfer in order to process large amounts of data.
digital
use word processing software
Use computer software applications for composition, editing, formatting, and printing of any sort of written material.
digital
Optional knowledge 12 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
11 competencesABBYY FineReader
The computer program ABBYY FineReader is software that electronically converts printed and typed images into machine-encoded text so that documents can be electronically stored, edited and digitally displayed.
digital
data models
The techniques and existing systems used for structuring data elements and showing relationships between them, as well as methods for interpreting the data structures and relationships.
digital
data storage
The physical and technical concepts of how digital data storage is organised in specific schemes both locally, such as hard-drives and random-access memories (RAM) and remotely, via network, internet or cloud.
digital
information confidentiality
The mechanisms and regulations which allow for selective access control and guarantee that only authorised parties (people, processes, systems and devices) have access to data, the way to comply with confidential information and the risks of non-compliance.
digital
LDAP
The computer language LDAP is a query language for retrieval of information from a database and of documents containing the needed information.
digital
LINQ
The computer language LINQ is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Microsoft.
digital
MDX
The computer language MDX is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Microsoft.
digital
N1QL
The computer language N1QL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Couchbase.
digital
OmniPage
The computer program OmniPage is software that electronically converts printed and typed images into machine-encoded text so that documents can be electronically stored, edited and digitally displayed.
digital
SPARQL
The computer language SPARQL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the international standards organisation World Wide Web Consortium.
digital
XQuery
The computer language XQuery is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the international standards organisation World Wide Web Consortium.
digital
Cross-sector
1 competenceoptical character recognition software
The software that electronically converts printed and typed images into machine-encoded text so that documents can be electronically stored, edited and digitally displayed.
digital
Optional skills and competences 12 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
7 competencesestablish data processes
Use ICT tools to apply mathematical, algorithmic or other data manipulation processes in order to create information.
digital
implement data warehousing techniques
Apply models and tools such as online analytical processing (OLAP) and Online transaction processing (OLTP), to integrate structured or unstructured data from sources, in order to create a central depository of historical and current data.
digital
manage data
Administer all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit for purpose, using specialised ICT tools to fulfil the data quality criteria.
digital
manage data collection systems
Develop and manage methods and strategies used to maximise data quality and statistical efficiency in the collection of data, in order to ensure the gathered data are optimised for further processing.
digital
manage ICT data classification
Oversee the classification system an organisation uses to organise its data. Assign an owner to each data concept or bulk of concepts and determine the value of each item of data.
digital
normalise data
Reduce data to their accurate core form (normal forms) in order to achieve such results as minimisation of dependency, elimination of redundancy, increase of consistency.
digital
use an application-specific interface
Understand and use interfaces particular to an application or use case.
digital
Cross-sector
5 competencesapply organisational techniques
Employ a set of organisational techniques and procedures which facilitate the achievement of the set goals set such as detailed planning of personnel's schedules. Use these resources efficiently and sustainably, and show flexibility when required.
implement data quality processes
Apply quality analysis, validation and verification techniques on data to check data quality integrity.
digital
manage digital documents
Manage various data formats and files by naming, publishing, transforming and sharing files and documents and transforming file formats.
digital
use databases
Use software tools for managing and organising data in a structured environment which consists of attributes, tables and relationships in order to query and modify the stored data.
digital
use spreadsheets software
Use software tools to create and edit tabular data to carry out mathematical calculations, organise data and information, create diagrams based on data and to retrieve them.
digital