Manage data collection systems

Description

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.

Alternative labels

Skill type

skill/competence

Skill reusability level

sector-specific

Relationships with occupations

Essential skill

Manage data collection systems is an essential skill of the following occupations:

Data scientist: Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
ICT information and knowledge manager: ICT information and knowledge managers contribute to the definition of organisational information strategy and apply information and knowledge creation, editing, storage, and distribution policies. They manage the maintenance and evolution of structured and unstructured information. They create digital structures to enable exploitation and optimisation of information and knowledge, manage data analysis and enable business intelligence.
Zoo registrar: Zoo registrars are responsible for the maintenance of a wide variety of  records relating to animals and their care in zoological collections. This includes both historic and current records. They have the responsibiltity to collate records into an organised and recognised records keeping system. In most cases this also involves submitting regular reports to regional or internatonal species information systems and/or as part of managed breeding programmes i.e. zoo registrars are usually responsible for both internal and external management if institutional records . Zoo registrars also often coordinate animal transportation for the zoological collection.

Optional skill

Manage data collection systems is optional for these occupations. This means knowing this skill may be an asset for career advancement if you are in one of these occupations.

Big data archive librarian: Big data archive librarians classify, catalogue and maintain libraries of digital media. They also evaluate and comply with metadata standards for digital content and update obsolete data and legacy systems.
Data entry clerk: 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.
Bioinformatics scientist: Bioinformatics scientists analyse biological processes using computer programmes. They maintain or construct databases containing biological information. Bioinformatics scientists gather and analyse biological data and may also assist scientists in various fields, including in biotechnology and pharmaceutics. They perform scientific research and statistical analyses, and report on their findings. Bioinformatics scientists may also collect DNA samples, discover data patterns and conduct genetic research.
Data entry supervisor: Data entry supervisors manage the day-to-day operations of data entry staff. They organise the workflow and tasks. 
Biometrician: Biometricians perform research in the field of biometrics. They carry statistical or biological research projects by measuring fingerprints, retinas, and human shapes for medical or industrial applications.
Data analyst: Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

 


 

References

  1. Manage data collection systems – ESCO

 

Last updated on September 20, 2022