Comments (5)
Are the FAIR Data Principles fair?
Dunning, Alastair; de Smaele, Madeleine; Böhmer, Jasmin
https://zenodo.org/record/321423#.WX9Do1GQyvE
from consultation.
Thanks a lot for your comment :)
Very interesting article indeed - we are exploring how the information included can help us to make further improvements on the tool we are working on.
from consultation.
Nice. I particularly like this emphasis:
"the facets provide targets that will help ..."
from consultation.
Thanks for the references @etsoupra - really useful. I've seen Peter and Ingrid's webinar, but the information in your post and details of the GO-FAIR metrics group will help as we write this up.
I've just been playing around with the assessment tool and had a couple of questions about the scores applied in the Survey Routing Diagrams:
-
Will all data get a score of 1 or above? If you follow the 'no' paths (e.g. no PID, no metadata, no user licence, proprietary formats etc) it seems the dataset will get a score of 1 at each stage. Did you decide against 0 scores?
-
Are you considering applying the scores or weightings to metadata as well as data? The main difference in the accessibility criteria is whether the data is open, public access so I guess some sensitive data will never be able to get a high FAIR rating, even if all the metadata are accessible and machine-readable etc. I read the Accessibility criteria A1.2 (the protocol allows for an authentication and authorization procedure, where necessary) as allowing closed or restricted access datasets. It might be useful to find a path that allows for non-open data to score as highly e.g. by awarding scores for clear metadata and info on how to gain access.
-
What kind of response have you been getting to rebranding the final R as a resultant score? Is this working well so far or do you think you'll change the approach in the GO-FAIR metrics group?
Thanks again for all the inputs. We'll definitely be including this in the report 👍
from consultation.
from consultation.
Related Issues (20)
- Is the assiduous collection of metadata and its aggregation via a DOI agency an essential operation for FAIR Data? HOT 1
- Should subject-specific enhancement of metadata be used by communities as a mechanism for achieving FAIRness in data? HOT 4
- How can/should one introduce Context into FAIR data? HOT 8
- Introducing Context into FAIR data: some use-cases.
- Data Repository Evaluation - Are the FAIR Data Principles fair? HOT 4
- Software and Data - the interplay for FAIR access to Data, and FAIR Software HOT 5
- Data enabled as FAIR using a one-time software license
- Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data
- Should instrumental FAIR data reference the instrument using a PID? HOT 11
- How FAIR is FAIR? HOT 2
- FAIR metric form HOT 3
- CRIS and FAIR data infrastructure: a contribution by euroCRIS (Making FAIR work) HOT 1
- FAIR data decisions: Lossy or lossless HOT 4
- Amsterdam contribution to the FAIR Expert Group
- FAIR initiatives in the rare disease community
- FAIR Data needs FAIR tooling that is lightweight and ubiquitous HOT 2
- FAIR Maturity Model HOT 1
- FAIR EOSC: FAIR e-Infrastructure Service vs FAIR Research Infrastructure Services HOT 2
- Preprint of FAIR Metrics Commentary article to accompany a set of 14 proposed metrics
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 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. 📊📈🎉
-
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 ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from consultation.