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  • Research Data Management 101
    Course Introduction
    Course Syllabus
    Unit 1: Introduction to Data Management
    1.1: Data Management
    Data and Databases
    1.1.1: Data Lifecycle Management
    Research Data Management 101
    1.1.2: Value within Data Management
    Data Governance
    1.1.3: Research Data
    Managing Research Data
    Basics of Research Data Management
    1.2: Data Management Plans
    Data Management Planning
    Data Management Plans
    1.3: Data Management Careers
    The Evolving Role of the Data Architect
    1.3.1: Data Consultant
    Data Consultants and Architects
    1.3.2: Operations Analyst
    Operations Analysts
    1.3.3: IT Systems Analyst
    IT Systems Analysts
    1.3.4: Database Administrator
    Database Administrator
    Unit 1 Study Resources
    Unit 1 Review Video
    Study Guide: Unit 1
    Unit 1 Assessment
    Unit 1 Assessment
    Unit 2: Understanding Databases and DBMSes
    2.1.1: Database Design and terms
    Database Systems Concepts
    2.1.2: Database Software
    Characteristics and Benefits of a Database
    2.1.3: Data Administration
    O*NET Online Summary Report for Database Administrators.
    2.2.1: The Essentials
    Introduction to Database Management System (DBMS)
    2.2.2: How Organizations Use DBMS
    Combining Data Management with Organizational Change
    Unit 2 Study Resources
    Unit 2 Review Video
    Study Guide: Unit 2
    Unit 2 Assessment
    Unit 2 Assessment
    Unit 3: Data Models
    3.1: Types of Data Models
    Data Modeling
    Types of Data Models
    Data Modeling and Metadata Management
    3.1.1: Conceptual Models
    Data Modelling
    3.1.2: Logical Models
    Types of Data Models
    3.1.3: Physical Models
    Physical Data Models
    3.2: Data Model Advantages and Disadvantages
    Lessons in Data Modeling
    What are the Advantages of a Relationship Model?
    3.3: The Enhanced E-R Model and Business Rules
    The Entity-Relationship Model
    Business Rules
    3.3.1: Supertypes and Subtypes
    The Enhanced Entity-Relationship Model
    3.3.2: How Business Rules are Used
    Integrity Rules and Constraints
    3.4: Database Security
    Database Security
    Unit 3 Study Resources
    Unit 3 Review Video
    Study Guide: Unit 3
    Unit 3 Assessment
    Unit 3 Assessment
    Unit 4: Big Data Processing and Cloud Computing
    4.1: Big Data
    Introduction to Big Data
    4.1.1: Big Data Storage
    Infrastructure for Big Data
    4.1.2: Big Data Analytics
    Big Data Analytics
    4.1.3: Challenges of Big Data
    Big Data Opportunities and Challenges
    Big Data and Industrial Research in Healthcare
    4.2: Cloud-Based Services
    Strategic Provision of Cloud Computing Services
    4.2.1: Cloud-Based Organizations
    Cloud Computing and Business Expectations
    4.2.2: Disaster Recovery
    Disaster Recovery in Cloud Computing
    4.2.3: Challenges of Cloud Computing
    Compliance and Risk in a Cloud Environment
    Unit 4 Study Resources
    Unit 4 Review Video
    Study Guide: Unit 4
    Unit 4 Assessment
    Unit 4 Assessment
    Unit 5: Introduction to SQL
    5.1: SQL
    SQL for Beginners
    More on SQL
    5.1.1: Functions
    Practical SQL Functions
    5.1.2: Queries
    Data Manipulation Language
    Aggregate Functions and Views in SQL
    5.1.3: MySQL
    Essential MySQL Features
    Reporting and Analysis in SQL
    5.1.4: Clauses and Operators
    Reporting and Analysis in SQL
    Unit 5 Study Resources
    Unit 5 Review Video
    Study Guide: Unit 5
    Unit 5 Assessment
    Unit 5 Assessment
    Unit 6: Data on the Internet
    6.1: Web Data
    Getting Data From The Web
    Google Pay API Explained
    Python Web Scraper Tutorial
    6.1.1: Approaches to Web Data Abstraction
    Data Abstraction
    Research and Data Reusability
    6.1.2: Applications of Data Abstraction
    Architecting the Future with Abstractions and Metadata
    6.1.3: Web Crawling
    What is Web Crawler?
    6.1.4: Legal Issues
    How Open is Open Data Produced by the U.S. Government?
    Unit 6 Study Resources
    Unit 6 Review Video
    Study Guide: Unit 6
    Unit 6 Assessment
    Unit 6 Assessment
    Unit 7: Data Sharing
    7.1: Data Sharing
    What is Data Sharing?
    What are the benefits of sharing data?
    7.1.1: Advantages and Disadvantages
    Better Data Sharing Rules
    Interoperability and Data Sharing
    7.2: Data Sharing Challenges
    Equitable Design
    7.2.1: Institutions and Publishers
    From Data Sharing to Data Publishing
    Unit 7 Study Resources
    Unit 7 Review Video
    Study Guide: Unit 7
    Unit 7 Assessment
    Unit 7 Assessment
    Unit 8: Data Warehousing and Data-Driven Systems
    8.1: Data-Driven Decisions
    Data-Driven Decisions
    Principles for Digital Development
    8.1.1: KPIs and How They Relate to Business
    The Role of Sustainability KPIs in Implementing Sustainable Strategies
    8.2.1: Types of Data Warehousing
    Data Warehousing and Data Mining
    Data Warehouse Architecture and Schemas
    8.2.2: How Data Mining Works
    Data Mining Techniques in Analyzing Process
    Unit 8 Study Resources
    Unit 8 Review Video
    Study Guide: Unit 8
    Unit 8 Assessment
    Unit 8 Assessment
    Study Guide
    BUS611 Study Guide
    Course Feedback Survey
    Course Feedback Survey
    Final Exam
    BUS611: Certificate Final Exam
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Table of contents

  • The Lifecycle of a Dataset
    • Today's session: Topics
    • Today’s session: the research data lifecycle
    • Research data lifecycle phases
    • What do we mean by data?
    • A case study
    • Pre-project: planning
    • Where do you start?
    • Funder requirements
    • What can help me write my DMP? DMPTool!
  • Data Documentation (AKA Metadata)
    • Metadata: why does it matter?
    • Active phase of research
    • Storing data
    • Backing up data: storing during active phase
  • File Organization & File Formats
    • File organization: naming conventions
    • File organization: file structure
    • File organization: versioning
    • File formats
    • File formats: preferred examples
    • File formats: converting considerations
    • File formats: our case study
  • Sharing & Preserving Data
    • Sharing data: why?
    • Preserving your data
    • Storing data: repositories
    • Storing data: repository options
    • Storing data: our case study
    • Sharing Data: additional considerations
    • Measure Twice, Cut Once
  1. BUS611: Data Management
  2. Unit 1: Introduction to Data Management
  3. 1.1: Data Management
  4. 1.1.1: Data Lifecycle Management
  5. Research Data Management 101

Research Data Management 101

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Completion requirements

Read this lesson. Pay attention to the lifecycle (process) of data sets. Answer the questions in this lesson. 

Data lifecycle management (DLM) is the policy or process that governs organizational data use. You learned that data management is an administrative function and DLM is a process to manage and preserve that data. Remember, good DLM includes all the phases of the data lifecycle. This is essential to data-driven decisions and actions taken by organizations daily.

The Lifecycle of a Dataset



Source: MITLibraries, https://ocw.mit.edu/resources/res-str-002-data-management-spring-2016/workshop-materials/MITRES_STR002S16_IntroDM.pdf
Workshop Materials PDF

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

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Saylor Academy © 2010-2025 except as otherwise noted. Excluding course final exams, content authored by Saylor Academy is available under a Creative Commons Attribution 3.0 Unported license. Third-party materials are the copyright of their respective owners and shared under various licenses. See detailed licensing information. Saylor Academy®, Saylor.org®, and Harnessing Technology to Make Education Free® are trade names of the Constitution Foundation, a 501(c)(3) organization through which our educational activities are conducted.