This is a joint presentation by Jeroen Bosman and Bianca Kramer, given during a joint NISO-ICSTI webinar, held on Wednesday, October 26, on Enabling Innovation in Researcher Workflow and Scholarly Communication.
Measures of Central Tendency: Mean, Median and Mode
Changing research workflows: Openness, efficiency and reproducibility
1. (except logo’s)
Changing research workflows
Driving forces for openness, efficiency and reproducibility
Bianca Kramer & Jeroen Bosman
ICSTI-NISO joint webinar, October 26, 2016
@MsPhelps
@jeroenbosman
2. Simple or complicated?
A model of the research workflow
preparation
analysis
writingpublication
outreach
assessment discovery
Rounds of grant writing
and application
Iterations of
search and reading
Drafting, receiving
comments,rewriting
Submit, peer review,
rejection, resubmitting
Rounds of experiments
and measurements
22. Three goals for science & scholarship (G-E-O)
• declaring competing interests
• replication & reproducibility
• meaningful assessment
• effective quality checks
• credit where it is due
• no fraud, plagiarism
• connected tools & platforms
• no publ. size restrictions
• null result publishing
• speed of publication
• (web)standards, IDs
• semantic discovery
• re-useability
• versioning
open peer review •
open (lab)notes •
plain language •
open drafting •
open access •
CC-0/BY •
good
efficient open
technical
changes &
standards
research
governance
changes
economic
& copyright
changes
researcher
funder
publisher
public
government library
23. Three goals for science & scholarship (G-E-O)
good
efficient open
researcher
funder
publisher
public
government library
25. Inform Support Advise, advocate (Co-)shape policies
e.g.:
Info on website,
in LibGuides, etc.
Offer training, Q&A
What’s a good choice,
why, what’s important
Think with institution,
graduate schools, etc.
asks
for:
Knowledge,
organizing info
Communication skills,
expertise
Advocating priorities,
field-specific knowledge;
a vision
Authority,
role being accepted
Types / levels of research support
26. Constraining and enabling contexts
for open and ‘good’ workflows
political support at (inter)national level •
pressure from funders •
public stance on Open Science by institution •
user-friendly and powerful tools •
interoperability •
role models •
attention for positive effects •
• assessment criteria
• institutional policies/culture
• PI demands
• learning curves
• agreements with collaborators
• uncertainty over effects & legitimacy
27. “Openness and Outreach!
Together with an efficient workflow and
minimal costs for researchers.
Impact should be shared with and created by the
public. That is only possible with Open Science.”