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Academic SEO, or: How do I get my research to show up in search engines and discovery tools?

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

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Academic SEO, or: How do I get my research to show up in search engines and discovery tools?

  1. 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. 2. @PeterKraker @OK_Maps
  3. 3. Uncitedness (publications): 12% - 82% (Larivière & Gingras 2009) Uncitedness (data): 85% (Peters et al. 2016) Transfer to practice (medicine): 14%, taking 17 years (Balas 1998)
  4. 4. It‘s time to change the way we discover research
  5. 5. 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
  6. 6. Overview of heart diseases
  7. 7. 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
  8. 8. https://openknowledgemaps.org
  9. 9. Advantages
  10. 10. 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
  11. 11. The first two years 375,000+ visits on the site, 70,000+ maps created, 600+ participants in workshops
  12. 12. We‘re not the only ones See also: 101 Innovations list
  13. 13. 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.
  14. 14. Text analysis, clustering and layout
  15. 15. 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
  16. 16. 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
  17. 17. 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
  18. 18. 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
  19. 19. 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
  20. 20. 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
  21. 21. How the open infrastructure works Publisher Aggregators Publisher Meta-Aggregators Researcher Large Crowdsourced Archives Value-added Services Researcher Researcher Institutional Repositories
  22. 22. 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
  23. 23. 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
  24. 24. Our vision https://vimeo.com/188647919
  25. 25. 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
  26. 26. Let us know what you think: twitter.com/OK_Maps facebook.com/OKMaps pkraker@openknowledgemaps.org Thank you for your attention!