Full Colectica Information Model¶
Colectica lets you describe statistical datasets, rich information about each variable, and summary statistics.
- A data file, database, or other source of data
- Data Layout
- Describes the layout of a data file
- A column in a dataset
- Variable Statistics
- Summary statistics for a single variable
- Aggregate data
- Represented Variable
- Describes the common information of one or more harmonized variables, including data type information
- Conceptual Variable
- Describes the common information of one or more harmonized variables
Colectica lets you create survey specifications, document existing surveys, build question banks, and more.
- A survey or other data capture instrument
- A question that can appear in a survey instrument
- Question Grid
- A question grid that can appear in a survey instrument
- Question Block
- A question block that can appear in a survey instrument
- A statement that can appear in a survey instrument
- Information for an interviewer or respondent
- Source code that performs calculations, validation, or other actions
- A set of items in an instrument, used for grouping, paging, or other organization
- Data Collection
- Describes the processes and methods used to collect data
Colectica lets you document both individual and repeated studies.
- A single research project
- A repeated set of studies
- Information about how a study is archived for long term preservation
All information in Colectica is built on foundational information such as concepts, code lists, and classifications.
Concepts describe the basic ideas being explored by a study. By defining the concepts behind your study, you can more easily create well-organized documentation. Sharing concepts among multiple studies enables quick, painless data harmonization.
- An abstract idea or general notion
- A class of people or things
- Code List
- A list of categories, each with an assigned value
- A population being studied
- An institution, company, or other group
Colectica lets you manage quality statements about your studies, useful for reporting to funding agencies and other authorities.
- Quality Statement
- A set of statements with information about how a study was conducted
- Quality Standard
- Describes all information that a quality statement should record
Colectica lets you describe how data is processed from one form into another.
- Processing Event
- Information about who performed data processing and how it was performed
- General Instruction
- Any sort of data processing instructions
- Generation Instruction
- Data processing that creates new variables or datasets
Grouping and Packaging¶
Most types of items in Colectica can be organized into groups. This allows you to organize things by topic, project, or any other facet you find useful.
Colectica supports the following types of groups.
- Category Group
- Code List Group
- Concept Group
- Conceptual Variable Group
- Instruction Group
- Instrument Group
- NCube Group
- Organization Group
- Processing Event Group
- Processing Instruction Group
- Quality Statement Group
- Question Group
- Represented Variable Group
- Universe Group
- Variable Group
Colectica also supports other ways to package together related items.
- Metadata Package
- A collection of various kinds of metadata items.
- A collection of series, studies, and metadata packages.