[software-source-code-ig] questionnaire summary from the RDA 10th Plenary

Hi everyone,
Here bellow is a not so short summary of the questionnaire you have
answered during the Software Source Code IG.
If you couldn't participate, here is the link to the questionnaire

.
You are welcome to add your answers to the answers

table.
Participants are interested in this subject for various reasons:
- cite software
- recover software
- data needs software (without software, data is basically useless)
- discover software
- provide framework for better software discovery and research
- reuse software (with environment)
- manage software
- preserve software
- software as a first class research product
- describe properly software
- PID for software
- identify and incorporate better practices for software
- software provenance
Use cases:
- discover software by searching for specific interest
- domain/area
- algorithm/ functionality
- data provided (software producing a certain result
with a particular data set)
- environment (software used in particular environment -distro,
compiler, etc)
- conditions for use, reuse and modification
- publish/ deposit/ archive software with associated metadata
- link software artifact to its context:
- data
- people/ authorship
- funding
- dependencies
- built form
- cite software and give due credit
- integrate software to other workflow
- reproduce software
- discover dependencies and environment needed
Ontologies used:
- most don't or use data ontologies
- Datacite
- CodeMeta
- DublinCore
- package management (NPM, gemspec, PYPI)
Properties needed:
- PID
- maintainer email
- link to compiled version
- repository retrieval link
- data input/output expected
- authorship & affiliation
- version
- description
- references
- origin source (for provenance)
- type
- description / algorithms / problem solved
- language
- revisions+ dates
- funders
- is documented & documentation link
- terms of use / license
- dependencies
- compiler
- environment (compiles / run on)
- status
- examples
- related_to (relations to other software)
- publisher
- tests link & test data
Advantages for structured and linked data:
- help scientists discover software - better research
- better connection with data
- better credit (by linking to authors)
- backward and forward linking- better ecosystem
Cheers,
--
Morane Ottilia GRUENPETER
Software engineer and metadata specialist for
Software Heritage http://www.softwareheritage.org
@INRIA Paris
personal website: http://moranegg.github.io/