Skillbuilding resources list out for suggested additions
Gretchen Gueguen
Hi all,
Sorry I didn't make it to the meeting yesterday to give this
update on behalf of the skillbuilding resources group.
I sent a message to a few lists yesterday announcing our list and asking for any additional recommendations for review. I sent it to:
- code4lib
- dlf-announce
- archivists-metadata
- ALA Core
Please feel free to pass it along to any other groups you may be a part of that would be interested. In case you missed it, the message is repeated below.
Best,
Gretchen
*********
Colleagues:
The Metadata Working Group of the DLF Assessment Interest Group is developing an evaluated list of recommended skillbuilding resources and tutorials on technologies relevant to metadata evaluation. The working team has developed an initial list of individual tutorials that will be presented on the working group’s website in the near future. In addition, several sites that contain many tutorials or reference guides (such as W3C schools or Library Carpentry) will be listed as “meta” sites to search for more resources. Each tutorial was evaluated by a team member and is described according to several characteristics including type of technology or skill, experience level, and prerequisites.
The working group is asking for any additional recommendation of tutorials to evaluate. An in-progress draft of the initial list can be seen at:
https://docs.google.com/spreadsheets/d/1TtRuTXTTv2aP5nGMbeMCOnwogXYUTNGj0dpl2XqkoLQ/edit?usp=sharing
The categorization and evaluations are still subject to editing, but the working group has agreed that the tutorials on this list should be included.
If you know of a resource you think would be a good fit in one of the following categories, please email gretchen...@gmail.com or gret...@cos.io with the name and link to the tutorial along with the technology or skill taught and a brief description of why you think it is valuable.
Categories:
General Tech Skills (unix, regex, xml, i.e.. things that might be prerequisites)
Specific software or tools (OpenRefine, git, MarcEdit)
Languages or libraries (python, catmandu, R)
Metadata quality assessment methods and techniques
We are limiting this list to lessons that are freely available, or available with a free user account, and that use open source technologies. We will be accepting recommendations through November 30, 2022 and the final list will be published in winter 2023.
Best,
Gretchen Gueguen
Product Owner, Open Science Framework
Center for Open Science
gret...@cos.io | gretchen...@gmail.com