1. A Publisher’s Perspective
RDMF16, Edinburgh September 2016

2. Publishing Consequence of technological innovations
Requiring a rethink
Q: What are publishers for?
‘Opportunities for Data Exchange: Report on Integration between Data and Publications’ Reilly et al

3. Sample responses……
Publishing Data Interest Group and Working Groups (new IG on data policies currently forming
Best practices in Publishing of Data
December 2012
Supporting information
Some industry level responses.
What is data publishing? Who does it? Enriching?
Learned Societies
AGU/COPDESS
Force11/Data Citation Early Adopters
Scholix
Data2Paper
Data Lighthouse
Best Practice Guidelines, Directory of Repositories, Sample Author and Grantee Instructions, Statement of Commitment

4. Force11/Data Citation Early Adopters
Operationalising the Joint Declaration of Data Citation Principles
Article in preparation: ‘A Data Citation Roadmap for Scientific Publishers’ Co-author affiliations include Elsevier, Springer Nature, PLoS, elife, Jisc (contributions from DataCite, Crossref, NIH…)
Includes links to training materials for a number of roles, sample tagging, citation styles.
Open group – anyone can join and go on to the website

5. A Framework for SCHOlarly Link eXchange
Initially a WDS-RDA Publishing Data Working Group (Publishing Services)
Just starting second WG phase – can sign up on Research Data Alliance site (need to be an RDA member but this is free)
Collaboration between OpenAIRE, Elsevier, ANDS, Crossref, DataCite, Springer Nature, PANGAEA, STM Association, CHORUS, IEDA, ICPSR
The framework aims for a seamless exchange of information about literature and related data
Facilitates re-use, reproducibility, and transparent evaluation of science.
Consists of a conceptual and information model, with standards, guidelines and options for encoding and exchange protocols.
Need a diagram and/further explanation here

6. Data2Paper Jisc Research Data Spring
Neil Jefferies (PI, Bodleian Libraries), Thomas Ingraham & Holly Murray (F1000Research) and Anusha Ranganathan (Digital Nest)

7. The App Researcher logs in to app via institutional repository
Automated data paper compilation within the research space (no journal submission systems)
Article packages submitted to publisher system via SWORD
If published, ORCID updates the researcher’s record
Feedback, UI/UX work
Researchers – domain and social factors
Outreach and trials
Sustainable long-term strategy
All suggestions welcome!

8. Screenshots
Demo video available on Youtube
Webinar/telecon can be arranged

9. DATA LIGHTHOUSE - service for Research Institutes to proactively engage with their institutional authors in the RDM space
Why?
Institutes need to comply with the data management policies and manage their research output effectively
Low adoption of data sharing practices by researchers
Finite means for engaging with researchers in the RDM space
Lack of monitoring and reporting
What?
Service for Research Institutes to engage with researchers, train and guide them through the research data life cycle.
How?
Reaching out and following up with institutional authors at the moment their research articles get published to:
Check if data sharing solutions associated already
Offer solutions to store, share, link and publish data
Monitor progress and follow up with reminders
Provide monthly reporting
Research article published
Initial inquiry
Share, publish and link data
Monitor progress and provide guidance
Generate reports
DATA LIGHTHOUSE

10. A proactive approach to help researchers adopt data sharing tools
Check adoption of:
Data deposited
Data linked
Data curated
Data reviewed and published as a data article
A new article is published by a researcher from your institution X
A new dataset is added by a researcher to the repository
Example
Project outcome
Proactively contact authors to post datasets with already published articles, increase visibility and quality of research data.
Data conservation
Identify articles from institutional researchers without associated research data
Proactively contact and motivate researcher to store, link and publish their datasets
Data visibility
Identify datasets from institutional researchers without publication
Pro-actively contact and motivate researchers to curate data, publish (data) article or link to the article if already available.
Input from development partners
Contact details of researchers
Agreement on messages sent to researchers
EXPLORATION PHASE (Explore available paths forward)
Objective is to show the options available to monetize the opportunity
Educate the audience by providing background information about the issue
Provide background information about the issue, aimed at enabling researchers to build hypothesis on how to solve it.
There should be NO talk about (Elsevier) products, features or benefits, no demo!

11. Happy to talk about: Force11 Data Citation Scholix
Research Data Alliance
Data2Paper
Data Lighthouse
(Anything else….)
Fiona Murphy
@DrFionalm