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openscience5star
It should be related to the open definition on license issues. On cultural issues I think we have to go new ways.
http://5stardata.info/#by-example
http://open.semantic-web.at/display/OGDW/6.3+Open-Data-5-Stern-Modell+von+Tim+Berners-Lee
Is it strictly about openness or also about general quality issues?
are many criterias a problem or better?
Guidelines for open scientists, institutes etc. for every step with it's specialties
Ranking should be easy to use and understand: detect the most important criterias and communicate all others in a guideline.
OPEN DATA
data types: database, files(Web/html), streams(API),
1: Open License
2: +
3: +
4: +
5: +
use of Data Versioning
Metadata: english
Structured Data
Open Format +1
use URIs
Linked Data
use of english language
machine readable
accessability: registration, costs,
quality of data: cleaned, structured,
encoding: UTF-8
completeness?
possibility to download data
License
easy to find: included in well recognised public repositories,
documentation: financer, creator, purpose, guidance for use, measurement, accuracy, etc.
no technical barriers: properly sized chunks of data,
comment section
most important:
documentation/metadata
open license
open format
structured, machine readable
public
versioned
LOD
OPEN SOURCE
areas: sourcecode produced, sourcecode(software) used, hardware produced, hardware used,
1: Open License
2: +
3: +
4: +
5: +
use of URIS
Open Formats
Sourcecode: use of (costs, easy to use), created (metadata, documentation:changelog, comments, easy to use) => License
Hardware: use of (costs, easy to use), created (metadata, documentation:changelog, comments, easy to use) => License
Use of Software Versioning
easy to find: included in well recognised public repositories,
accessability: registration, costs,
Commenting: full, english
use of english
metadata: english
encoding: UTF-8
documentation: development environment setup,
code quality
interoperability: for every OS or at least open source systems,
build/make scripts for generating data and other content
comment section
most important:
open
public
versioned
documented
LOD
OPEN ACCESS
publication formats: papers, books,
publication types: paper, review, monographie, case report, letter
publication media: web, paper
1: Open License
2: +
3: +
4: +
5: +
Open Format: Libre Office, LaTeX, BibTeX, epub,
Structured Content, machine readable
use URIS
Linked Content
metadata: english
use of english
step/time of publication: pre-print, peer reviewed, delayed
License
versioned
figures as files
tables as files
LOD
tell negative results
completeness: linking to data sources, sourcecode, media, scientific diary (methodology)
information about authors: personal view, financing, contact,
web2.0 interactivity
encoding: UTF-8
understandable language approach
possibility to download
comment section
available in the internet
costs
accessability: registration, costs,
most important:
open license
open format
versioned
LOD
OPEN METHODOLOGY / OPEN NOTEBOOK SCIENCE
function: create context and reproducibility, scientific diary
research types: comparative review, research, others,
1: Open License
2: +
3: +
4: +
5: +
Open Format
use URIS
Link Content
use of english
decision of methods
decision of hypotheses: for research
read literature: position to it
structured, machine readable
versioning
available on the internet
downloadable
encoding: UTF-8
comments section
interactivity: web2.0
document every result and important research step: data, code, media, experiences, problems, setup, pre-asumption
document all publications: at least link to it
understandable language approach
most important:
OPEN PEER REVIEW
1: ??Open License??
2: +
3: +
4: +
5: +
metadata: english
use URIS
Link Content
??Open Format??
use of english
interactivity
downloadable
we tend to use unblinded
share media, code and data of review
UTF-8
comment section
open up for everyone
http://wowter.net/2013/12/24/towards-five-stars-transparent-pre-publication-peer-review/
(david):
- etwas in Richtung Partizipation-Mediation. Einbindung von NichtwissenschaftlerInnen, "verstecktes" (lokales) Wissen aktivieren -> vernetzen -> als kulturelle Komponente -> vor allem auch die Einbindung von Menschen, die nicht forschen oder schwer für gewisse Themen erreichbar sind ?! -> transdisziplinarität
- selbst kritisch
- ethische Grundsätze oder ein gewisses Ziel (politischer Anspruch) das verfolgt wird -> gibt es auch "Zieldefinitionen" was mit der Forschung erreicht werden soll? von Wissen, das freizugänglich ist, Nachhaltigkeit, Soziales (Thematisierung, Verbesserung von "Missständen")