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Meeting: 2014-06-30Attending: Guillaume Duffes, Dan Gillman, Larry Hoyle, Ørnulf Risnes, Steve McEachern, Wendy Thomas Reviewed list of related package and view content from Wolfgang Decisions:There is currently a lot of duplication in the list and it needs to be normalized prior to review. Steve will normalize the list and send it out to members later this week with the following instructions: Review the list and do the following:
Unless other agenda items arise, schedule the next meeting after the deadline for returning reviews. Process:
This may result in the creation of two "simple codebook" views and appropriate names should be determined. Discussion:Given the range of use cases (something above a simple data set to a simple study housed in an archive) it is difficult to determine what is meant by "simple". Rather than discuss in the abstract it may be helpful to get a list of objects one would like to see in a simple codebook from the members of group and then identify those objects that are considered to be the minimum requirement for publication. This may result is two levels for a simple codebook (basic and intermediate) but the approach would provide clear information on where there is consensus and where there is debate. Statements that may help define the differences between these two levels:
There has been a shift from the initial content creation in Drupal of a simple codebook "package" to the idea of a "view" and we need to reorient the Drupal content to this shift. In addition, packages and views relating to the simple codebook view that were not in existence when the work of this group was started are now more fully defined. The content of these packages and views needs to be considered when defining the view(s) of a simple codebook. View orientation is liberating
The following process could be useful in defining the view(s) for a simple codebook: Creating the list of objects for a simple codebook:
Create a view of Simple codebook in Drupal - using the final agreed upon list of a view Note: Some of the objects being included are complex objects. These should then be reviewed to see if a simpler basic object of that type is needed. (I.e. we may only want to include a "stripped down" version in the view) Steve will take a go at normalizing and send list out to group Wolfgang can then enforce getting responses. Meeting in two weeks:
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Simple Codebook Meeting |
Type of information | Basic Codebook | Survey | Fauna (Wildlife) |
Data structure: · Record type · Record layout · Record relationship · Data type · Valid values · Invalid values | Structured metadata to support access | Structured metadata to support access | Structured metadata to support access |
Data source: · Why was data collected · How was data collected · Who collected the data · The universe or population and how it was identified and selected | Descriptive to support assessment of quality and fitness-for-use | Purpose of the survey; Survey content and flow (may or may not need to be actionable); identification and sampling of survey population (may or may not need to be actionable for replication purposes) | Purpose of study, how data was collected (may need to be actionable to support replication and/or calibration); identification and sampling of survey population (may or may not need to be actionable for replication purposes) |
Data processing: · Data capture process · Validation · Quality control · Normalizing, coding, derivations · Protection (confidentiality, suppression, interpolation, embargo, etc.) | Informational material; support provenance | May need structured metadata for purposes of replication; Include processes, background information, proposed, actual, and implications for data | May need structured to support mechanical capture instruments, calibrations, situational variants, etc. |
Discovery information: · Who · What · When · Why · Coverage o Topical o Temporal o Spatial | Structured metadata to support discovery and access to the data as a whole | Structured metadata to support discovery and access to the data as a whole | Structured metadata to support discovery and access to the data as a whole |
Conceptual basis · Object · Concept | Informational material | Structured to support analysis of change over time and relationship between studies. May just be descriptive / informational. | Structured to support genre level comparison (heavy use of common taxonomies, etc.) |
Methodologies employed | Informational material | Structured to support replication and comparison between studies | Structured to support replication and comparison between studies |
Related materials of relevance to data | Informational material |
Definitions
Data Dictionary
· A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format."[1] The term can have one of several closely related meanings pertaining to databases and database management systems (DBMS):
· A document describing a database or collection of databases
· An integral component of a DBMS that is required to determine its structure
· A piece of middleware that extends or supplants the native data dictionary of a DBMS
· Database about a database. A data dictionary defines the structure of the database itself (not that of the data held in the database) and is used in control and maintenance of large databases. Among other items of information, it records (1) what data is stored, (2) name, description, and characteristics of each data element, (3) types of relationships between data elements, (4) access rights and frequency of access. Also called system dictionary when used in the context of a system design.Read more: http://www.businessdictionary.com/definition/data-dictionary.html#ixzz3Am5wCgZI
· A data dictionary is a collection of descriptions of the data objects or items in a data model for the benefit of programmers and others who need to refer to them. (Posted by Margaret Rouse @ WhatIs.com)
Codebook
What is a codebook? (http://www.sscnet.ucla.edu/issr/da/tutor/tutcode.htm)
A codebook describes and documents the questions asked or items collected in a survey. Codebooks and study documentation will provide you with crucial details to help you decide whether or not a particular data collection will be useful in your research. The codebook will describe the subject of the survey or data collection, the sample and how it was constructed, and how the data were coded, entered, and processed. The questionnaire or survey instrument will be included along with a description or layout of how the data file is organized. Some codebooks are available electronically, and you can read them on your computer screen, download them to your machine, or print them out. Others are not electronic and must be used in a library or archive, or, depending on copyright, photocopied if you want your own for personal use.
Codebook : Lisa Carley-Baxter (http://srmo.sagepub.com/view/encyclopedia-of-survey-research-methods/n69.xml)
Codebooks are used by survey researchers to serve two main purposes: to provide a guide for coding responses and to serve as documentation of the layout and code definitions of a data file. Data files usually contain one line for each observation, such as a record or person (also called a "respondent"). Each column generally represents a single variable; however, one variable may span several columns. At the most basic level, a codebook describes the layout of the data in the data file and describes what the data codes mean. Codebooks are used to document the values associated with the answer options for a given survey question. Each answer category is given a unique numeric value, and these unique numeric values are then used by researchers in their analysis of the ...
Codebook (Wikipedia.com)
A codebook is a type of document used for gathering and storing codes. Originally codebooks were often literally books, but today codebook is a byword for the complete record of a series of codes, regardless of physical format.
ICPSR
What is a codebook?
A codebook provides information on the structure, contents, and layout of a data file. Users are strongly encouraged to look at the codebook of a study before downloading the datafiles.
While codebooks vary widely in quality and amount of information given, a typical codebook includes:
• Column locations and widths for each variable
• Definitions of different record types
• Response codes for each variable
• Codes used to indicate nonresponse and missing data
• Exact questions and skip patterns used in a survey
• Other indications of the content and characteristics of each variable
Additionally, codebooks may also contain:
• Frequencies of response
• Survey objectives
• Concept definitions
• A description of the survey design and methodology
• A copy of the survey questionnaire (if applicable)
• Information on data collection, data processing, and data quality
...