Profession 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.

Personality Type

• Realistic / Investigative

Related professions library

• Archivist
• Documentalist
• Librarian
• Library clerk
• Library manager
• Library technician

Knowledge

• 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.

• Query languages

  The field of standardised computer languages for retrieval of information from a database and of documents containing the needed information.

• Database

  The classification of databases, that includes their purpose, characteristics, terminology, models and use such as XML databases, document-oriented databases and full text databases.

• Data extraction, transformation and loading tools

  The tools for integration of information from multiple applications, created and maintained by organisations, into one consistent and transparent data structure.

• Business intelligence

  The tools used to transform large amounts of raw data into relevant and helpful business information.

• Database management systems

  The tools for creating, updating and managing databases, such as Oracle, MySQL and Microsoft SQL Server.

• Database development tools

  The methodologies and tools used for creating logical and physical structure of databases, such as logical data structures, diagrams, modelling methodologies and entity-relationships.

• 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).

Skills

• Manage digital archives

  Create and maintain computer archives and databases, incorporating latest developments in electronic information storage technology.

• Manage content metadata

  Apply content management methods and procedures to define and use metadata concepts, such as the data of creation, in order to describe, organise and archive content such as documents, video and audio files, applications and images.

• Manage archive users guidelines

  Establish policy guidelines on public access to a (digital) archive and the cautious use of present materials. Communicate the guidelines to archive visitors.

• Write database documentation

  Develop documentation containing information about the database that is relevant to end users.

• Maintain database security

  Master a wide variety of information security controls in order to pursue maximal database protection.

• Maintain data entry requirements

  Uphold conditions for data entry. Follow procedures and apply data program techniques.

• Analyse big data

  Collect and evaluate numerical data in large quantities, especially for the purpose of identifying patterns between the data.

• 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.

• 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.

• Comply with legal regulations

  Ensure you are properly informed of the legal regulations that govern a specific activity and adhere to its rules, policies and laws.

• Maintain database performance

  Calculate values for database parameters. Implement new releases and execute regular maintenance tasks such as establishing backup strategies and eliminating index fragmentation. Evaluate hardware products and operating systems.

• Manage database

  Apply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.

Optional knowledge and skills

Source: Sisyphus ODB