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DM5002: REFERENCE, PROJECT AND CORPORATE DATA MANAGEMENT (2016-2017)

Last modified: 28 Jun 2018 10:27


Course Overview

  • Definitions of reference, corporate and project data
  • The role and value of reference data
  • Applying, identifying and reporting reference data
  • Checking the compliance of corporate data to reference data
  • The relation between corporate data and project data
  • Project data management
  • Analysis to ensure corporate data is properly managed over its lifecycle
  • Industry standards for reference data
  • Information Architecture and Categorization
  • Indexing, Tagging and Cataloguing, and the use of Ontologies and Folksonomies for this
  • Data Tracking and Data Provenance
  • Physical Data Management (including cores, samples, paper, tapes and other media)
  • Cross business sharing of data, and issues arising (e.g. regarding synchronizing reference, corporate and project data across multiple locations; big data and data duplication; combining subsurface, surface data and activity).
  • Purpose, business drivers, and operating considerations of National Petroleum Data Repositories, building on the regulatory link in PD50X1. The short term (encouraging access and promoting development) and long term (retention of scientific knowledge) objectives for these, how they are funded, and examples of good practice.

Course Details

Study Type Postgraduate Level 5
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
Co-ordinators

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What courses & programmes must have been taken before this course?

None.

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

  • Definitions of reference, corporate and project data
  • The role and value of reference data
  • Applying, identifying and reporting reference data
  • Checking the compliance of corporate data to reference data
  • The relation between corporate data and project data
  • Project data management
  • Analysis to ensure corporate data is properly managed over its lifecycle
  • Industry standards for reference data
  • Information Architecture and Categorization
  • Indexing, Tagging and Cataloguing, and the use of Ontologies and Folksonomies for this
  • Data Tracking and Data Provenance
  • Physical Data Management (including cores, samples, paper, tapes and other media)
  • Cross business sharing of data, and issues arising (e.g. regarding synchronizing reference, corporate and project data across multiple locations; big data and data duplication; combining subsurface, surface data and activity).
  • Purpose, business drivers, and operating considerations of National Petroleum Data Repositories, building on the regulatory link in PD50X1. The short term (encouraging access and promoting development) and long term (retention of scientific knowledge) objectives for these, how they are funded, and examples of good practice.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

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Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

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Formative Assessment

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Course Learning Outcomes

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