Presentation at the OpenUP Workshop Graz “Increasing Visibility and Impact through Innovative Dissemination” on June 20th, 2018.

1. Dr. Peter Kraker
Open Knowledge Maps
OpenUP Workshop Graz
“Increasing Visibility and
Impact through Innovative
Dissemination”
Academic SEO, or: How do I get my
research to show up in search engines
and discovery tools?
RichSavage,CCBY2.0

2. @PeterKraker
@OK_Maps

4. Uncitedness (publications):
12% - 82% (Larivière & Gingras 2009)
Uncitedness (data):
85% (Peters et al. 2016)
Transfer to practice (medicine):
14%, taking 17 years (Balas 1998)

5. It‘s time to change
the way we discover
research

6. Who we are
Open Knowledge Maps is
a non-profit organization
dedicated to dramatically
improving the visibility
of scientific knowledge
for science and society alike

7. Overview of heart diseases

8. SHARE. USE. COLLABORATE.
We want to turn discovery
into an open collaborative
process. By sharing the
results of our discoveries, we
can save valuable time and
build on top of each other's
knowledge.
REVOLUTIONIZE DISCOVERY
We are going to provide a
large-scale system of open,
interactive and interlinked
knowledge maps for every
research topic, every field and
every discipline.
VISUAL INTERFACE
We are creating a visual
interface to the world's
scientific knowledge that is
based on knowledge maps.
Our mission

9. https://openknowledgemaps.org

10. Advantages

11. Open science, all the way
Open Source https://github.com/OpenKnowledgeMaps
Open Content Open Data (planned)
Working in the open
Open roadmap
Open proposals
Participatory development

12. The first two years
375,000+ visits on the site, 70,000+ maps
created, 600+ participants in workshops

13. We‘re not the only ones
See also: 101 Innovations list

14. How it works
An Open Knowledge Maps visualization presents you
with a topical overview for your search term. It is
based on the 100 most relevant documents for your
search term.
We use text similarity to create the knowledge maps.
The algorithm groups those papers together that have
more words in common in the metadata.

15. Text analysis, clustering and layout

16. Get together in groups of 2-3
Discuss:
1. How do resources get into Google Scholar?
2. What could be the reasons that Open Knowledge Maps
does not use Google Scholar as a database?
Time: 7 min
Group Discussion 1

17. Input: PDFs from whitelisted domains
- Either full text or abstracts must be visible to user
- Machine-readable metadata
Processing: Automated process + limited human correction
(via Google Scholar Profiles)
Output: Via the user interface
Ranking: Similarity between query and fulltext, which
publisher, which author(s), recent citations
Google Scholar

18. Get together in groups of 2-3
Discuss:
1. What other services do you use for literature search and
discovery?
2. How can you make sure your outputs are listed there?
Time: 7 min
Group Discussion 2

19. Input: Metadata and PDFs provided
- by users or
- by ResearchGate (publicly available information, CC
licensend PDFs)
Processing: Automated processing/human input &
correction
Output: via the user interface and to search engines
Ranking: Unknown
ResearchGate

20. Input: Metadata provided by indexed journals, conference
proceedings and publishers (books)
Processing: Automated processing plus human editors
Output: via the user interface, export and APIs (all paid
services)
Ranking: content similarity between query and metadata
Scopus, Web of Science

21. Large commercial offerings aggregate a lot of research
information
…but they heavily restrict automated use and reuse of
the information
 Information gets stuck in these systems
First takeaways

22. How the open infrastructure works
Publisher
Aggregators
Publisher
Meta-Aggregators
Researcher
Large Crowdsourced
Archives
Value-added Services
Researcher
Researcher
Institutional
Repositories

23. Metadata!
• Provide as much metadata as possible (incl. abstracts,
classification, keywords etc.)
• Provide metadata in a structured format (if possible)
Persistent identifiers
• Make sure your output has a DOI
• When mentioning your output online, use the DOI link
(altmetrics)
• Get an ORCiD and link your outputs to your profile
General tips

24. The more open, the better
• Open access good
• Creative Commons licensed better
• CC0/CC BY/CC BY-SA licensed best
Make sure to deposit your research at least once in a
repository that is part of the open science infrastructure
More general tips

25. Our vision
https://vimeo.com/188647919

26. Your support matters
Tell your researchers and colleagues
about us
Collaborate with us
Get in touch for joint projects & proposals
Let us know what you think

27. Let us know what you think:
twitter.com/OK_Maps
facebook.com/OKMaps
pkraker@openknowledgemaps.org
Thank you for your attention!