Version Control: File Management

Introduction In the previous post I presented a quick start guide for getting up and running with version control. In this post I’ll continue the brief hiatus from topics in data management to instruct readers on managing files using version control. Since version control and data management are best learned by doing, the objective ofContinue reading “Version Control: File Management”

Getting Started with Version Control

Introduction In the previous post I provided an overview of version control for managing computer files. In this post I’ll continue the brief hiatus from topics in data management to instruct readers on how to get started with version control. Since version control and data management are best learned by doing, the objective of thisContinue reading “Getting Started with Version Control”

Version Control: An Overview

Introduction In the last post I provided an overview of databases and data management systems. In the next several posts I’ll be taking a brief hiatus from topics in data management and discuss version control. The objective of this post is to provide an overview of version control for managing code. This is in preparationContinue reading “Version Control: An Overview”

Databases and Data Management Systems

Introduction In the last post I provided an overview of data management plans: Data Management Plans. In this post I’ll be presenting on databases and data management systems (DBMS), including a discussion about what constitutes a database, the basics of relational databases, and an overview of several popular DMBS software options. What is a Database?Continue reading “Databases and Data Management Systems”

The Data Pipeline: Metadata & Archiving

Introduction In the previous post I provided an overview of the analysis and report stage of the data pipeline (Figure 1). In this post I’ll provide an overview of the metadata and archiving stage. At this stage in the pipeline you’re project is mostly completed, and your ready to prepare your data for long-term storage.Continue reading “The Data Pipeline: Metadata & Archiving”

The Data Pipeline: Analysis & Reporting

Introduction In the previous post I provided an overview of the Quality Assurance and Control (QAQC) stage of the data pipeline (Figure 1). In this post I’ll provide an overview of the data Analysis and Reporting stage. By this point you have developed a database system, acquired data, and performed QAQC review on the data.Continue reading “The Data Pipeline: Analysis & Reporting”

The Data Pipeline: Data QAQC

It only takes one bad apple to spoil the bunch. Introduction In the previous post I provided an overview of the data acquisition stage of the data pipeline (Figure 1). In this post I’ll provide an overview of the data Quality Assurance and Control (QAQC) stage. Data quality assurance and control is the process ofContinue reading “The Data Pipeline: Data QAQC”

The Data Pipeline: Data Acquisition

Data Quality Control and Assurance Starts Now! Introduction In the previous post I provided an overview of the database development stage odf the data pipeline, and emphasized that database design is largely driven by the data acquisition protocols. In this post I’ll 1) provide an overview of the third stage in the data pipeline: DataContinue reading “The Data Pipeline: Data Acquisition”

The Data Pipeline: Database Development

How data acquisition protocols drive database design. Introduction In the previous post I made the distinction between data stewardship and data management, introduced the data pipeline (Figure 1), provided an overview the planning stage of the pipeline, and made a call to action for everyone involved in data management to think like a data steward.Continue reading “The Data Pipeline: Database Development”