tdwg / curriculum Goto Github PK
View Code? Open in Web Editor NEWBiodiversity Informatics Curriculum Interest Group
Home Page: https://www.tdwg.org/community/curriculum/
Biodiversity Informatics Curriculum Interest Group
Home Page: https://www.tdwg.org/community/curriculum/
Creating this thread to allow for discussion of plans and ideas and as a place for feedback as we prepare for the upcoming workshop. Please comment with any relevant resources or information that should be shared with workshop participants or with any thoughts about important things to cover that may not be in the schedule as it is now.
Please comment on this issue to demonstrate the breadth and depth of curricular-related activities ongoing in your own institution or in others that you're aware of.
For example, Town Peterson's Biodiversity Informatics Training Curriculum
Or a list of courses from your home institution (e.g. Indiana University, two different departments)
IU, Department of Information and Library Science
ILS-Z 503 Representation & Organization
ILS-Z 511 Database Design
ILS-Z 515 Information Architecture
ILS-Z 542 International Information Issues
ILS-Z 581 Archives & Records Management
ILS-Z 636 Data Semantics
ILS-Z 642 Content Analysis for the Web
ILS-Z 645 Social Informatics of Big Data
There has been efforts based on funding by the JRS Biodiversity Foundation, the support of the University of Kansas Biodiversity Institute and the GBIF community tackling the gap of training materials in the field of biodiversity informatics. This has been partially published at https://journals.ku.edu.
Can I assume this aims to be a collaborative effort between TDWG, GBIF, KBI, JSR? Does this activity connect to the GBIF interest group on biodiversity informatics training?
A suggestion that we set up some opportunities at Digital Data IV to move forward. Ideas
What skills are most needed for new biodiversity informaticians that are entering the workforce?
For example: deep learning and computer vision for applied systematics and taxonomy, semantic linkages between related datasets, information architecture and quality assurance, data curation and using OpenRefine.
The "how you can contribute" section of the README currently only has boilerplate text:
Depending on where group interaction takes place (GitHub, mailing list), provide some guidance on how interested parties can follow group activities (e.g. watch this repository, join mailing list) and how they can contribute.
Please update this to how people can actually contribute.
The Rationale (currently copied from the charter) is quite long too...
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.