Data Management: Documentation & Metadata Types of Documentation.

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Presentation transcript:

Data Management: Documentation & Metadata Types of Documentation

2 Data Documentation (Metadata) Informal or formal methods to describe your data Important if you want to reuse your own data in the future Also necessary when sharing your data

3 You’re already documenting your data Notebook – Paper – Digital – Lab Folders with notes, text files Sources, experiments or surveys, procedures, etc.

4 Documentation in Research Project DocumentationDataset Documentation Context of data collection Data collection methods Structure, organization of data files Data sources used Data validation, quality assurance Transformations of data from the raw data through analysis Information on confidentiality, access and use conditions Variable names and descriptions Explanation of codes and schemas used Algorithms used to transform data File format and software (including version) used

5 Types of Documentation Documentation for understanding & re-use Readme File Data Dictionary Codebook

6 ReadMe Describes the core documentation about an investigation and its data files Typically a simple text file Can describe the individual file(s) and/or data package as a whole

7 ReadMe Example - Dataset

8 Data Dictionary Provides definitions of the data fields in a data file More details on the variables, observations of a file Used to understand the data and the databases that contain it Identifies data elements and their attributes including names, definitions and units of measure and other information Often they are organized as a table ns_and_usage_version_1.1_ pdf

9 Data Dictionary Example

10 What is a Codebook? Typical in social sciences research Includes elements similar to readme and dictionary – Project level information (e.g. survey design and methodology) – Response codes for each variable – Codes used to indicate nonresponse and missing data -is-codebook

11 What is a Codebook? Additionally, codebooks may also contain: – A copy of the survey questionnaire (if applicable) – Exact questions and skip patterns used in a survey – Frequencies of response Quite long! qs/2006/01/what-is-codebook

12 Other Examples of Data Documentation Lab notebooks Software syntax Programming code Instrument settings and/or calibration Provenance of sources of data Embedded metadata (e.g. EXIF, FITS)