annotometer's People
Forkers
gigascienceannotometer's Issues
adjust scoring mechanism discussion
We need to be more cunning with the scoring mechanism this year. 1 point for adding anything is too simplistic., especially if we add WikiData. The people at wikidata are runing a competition as ISCB next year and these are their rules:
https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Computational_Biology/ISCB_competition_announcement_2016
worthwhile considering restricting the pages that can be edited, not just for wikidata but also restricting the targets for the other tools too.
Discussion points:
1 - iCLiKVAL : Is it possible to detect manual vs bot/automated annotations for any given user? If so, should we weight the scores for each, say 3 points for manual annotations, 1 for automated?
2 - Hypothes.is : Should we encourage discussions within documents by adding scores for those? Is 1 point per annotation fair? or should it be 1 point per N (20) characters added?
3 - Idea's how to score WikiData? 1 point per minor edit, 1 point per N characters added? but what about edits removing characters? should translations count with the same weight? lots more to discuss with regards to wikidata.
4 - Are there any other tools we could/should include?
additional tool(s)
Need to look into additional tools that could be included in the annotometer scores. The only one that springs to mind immediately is WikiData.
They allow searching of particular usernames to see what that person has done, e.g. look what I've been upto on there:
https://www.wikidata.org/w/index.php?limit=50&title=Special%3AContributions&contribs=user&target=Only1chunts&namespace=&tagfilter=&year=2016&month=-1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.