Wordpress.com (hosted) Data Curation Primer

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

WordPress.com is the hosted version of the open-source WordPress.org software (https://en.support.wordpress.com/com-vs-org/; https://dailypost.wordpress.com/2013/11/14/com-or-org/) offering a free online publishing platform with optional features, plans, and custom domains available for an additional cost (https://wordpress.com/about/). This primer will focus exclusively on the WordPress.com free site export and archiving process. In the future, additional primers and/or additions to this primer may be beneficial in order to cover the variations with WordPress.com Business Plan sites and WordPress.org software. 
This work was created as part of the Data Curation Network “Specialized Data Curation” Workshop #1 co-located with the Digital Library Federation (DLF) Forum 2018 in Las Vegas, Nevada on October 17-18, 2018.
Table of Contents: 
1. Description of format
 2. Examples 
3. Sample data set citations 
4. Key questions to ask yourself 
5. Key clarifications to get from researcher 
6. Applicable metadata standard, core elements, and readme requirements 
7. Resources for reviewing data 
8. Software for viewing or analyzing data 
9. Preservation actions 
10. What to look for to make sure this file meets FAIR principles 
11. Ways in which fields may use this format 
12. Unresolved Issues/Further Questions [for example tracking the provenance of data creation, level of detail in a dataset] 
13. Documentation of curation process: What do capture from curation process 
14. Appendix A - filetype CURATED checklist 

More information about the collection of Data Curation Primers can be found at:  http://hdl.handle.net/11299/202810.

Interactive primers available for download and derivatives at: https://github.com/DataCurationNetwork/data-primers.

Authoring Person(s) Name: 
Heather James
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
James, Heather. (2019). Wordpress.com (hosted) Data Curation Primer. Data Curation Network. Retrieved from the University of Minnesota Digital Conservancy, http://hdl.handle.net/11299/202811.
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Data citation
Data curation
Data documentation
Data formats
Data management
Data preservation
Data publication
Data visualization tools
Metadata standards
Researcher engagement
Tuesday, April 16, 2019
ID - identifier that provides the means to locate the learning resource or its citation: 
Type - namespace prefix for the citable locator, if any: 
Publisher - organization credited with publishing or broadcasting the learning resource: 
Data Curation Network
Version - revision or edition number or date associated with a learning resource: 
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.
Contributor Organization(s): 
Institute of Museum and Library Services RE-85-18-0040-18
Funding and sponsorship
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Citizen scientist
Data manager
Data professional
Early-career research scientist
Graduate student
Mid-career research scientist
Research scientist
Software engineer
Technology expert group
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour