In 2018, the SciELO Program will celebrate 20 years of operation, in full alignment with the advances of open science. The SciELO 20 Years Conference will address and debate – during its three-day program – the main political, methodological and technological issues that define today’s state of the art in scholarly communication and the trends and innovations that is shaping the future of the universal openness of scholarly publishing and its relationship with today’s Open Access journals, in particular those of the SciELO Network. The program of the conference is organized around the alignment of SciELO journals and operations with the best practices on communication of open science, such as publishing research data, expediting editorial processes and communication through the continuous publication of articles and the adoption of preprints, maximizing the transparency of research evaluation and the flow of scholarly communication, and searching for more comprehensive systems for assessing research, articles and journals. A two-day meeting of the coordinators of the national collections of the SciELO Network will take place prior to the Conference with focus on the evaluation of SciELO journals and the SciELO Program and their improvement following the lines of action that will guide their development in the forthcoming five years. The celebration of SciELO’s 20-year anniversary constitutes an important landmark in SciELO’s evolution, and an exceptional moment to promote the advancement of an inclusive, global approach to scholarly communication and to the open access movement while respecting the diversities of thematic and geographic areas, as well as of languages of scientific research.

1. Interoperability, visibility, credibility
Isabelle Reiss
Head of Consortia Development
Clarivate Analytics
Isabelle.reiss@clarivate.com

2. 2
Who we are
2018
relaunch

3. 3
Interoperability, visibility, credibility
Interoperability : the extent to which systems and devices can exchange data, and interpret that shared data
• A platform that hosts different databases to make them interact by way of the Citation
Connexion Network.
• A Plug-in that both memorizes your Subscription entitlements/credentials and searches
for additional Open Access documents, resolving the link directly from the Web of
Science, in one click, to deliver full-text within the same environment.
• An OA platform where reviewers would make their work visible, where publishers could
feed the completed reviews automatically from their Journal Management System and
this platform would also feed ORCID´s profiles.
SciELO
Citation
Index
Kopernio
Publons

4. 4
Visibility not only of the whole database, which would be by means of its
distribution/commercialization, but visibility of each record if searched for
By means of
• An expert and rigorous indexation
• Availability of filters to empower each data field
• Permanent Curation, Disambiguation, Unification to improve consistency of results
Visibility: the state of being able to see or be seen
a. The capability of being easily observed
b. The capability of providing a clear, unobstructed view
Interoperability, visibility, credibility

5. 5
• The curation, disambiguation, unification mentioned before will help gain on credibility.
• An other important factor for credibility is probably the clarity of processes
 Which data has been harvested and how?
 What were the selection criteria? And importantly enough, what were the de-selection criteria?
 How are results displayed – what is the hierarchy ?
Interoperability, visibility, credibility
Credibility: the quality of being believable or worthy of trust

6. 6
Q4 2018- Q1 2019: Select databases from the All Databases search page
Target your search by selecting the databases of interest to you
for maximum control and efficiency.

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Coming Soon: Expanded Open Access Identification for analytics & assessment
To support assessment use cases, Web of Science will be making three changes to how we handle Open Access
versions of articles:
1. More granular Gold and Bronze classification will help you better understand the Open Access landscape.
2. Metadata for ALL identified OA versions for a given article, rather than just one, will help you measure the
success of your institutional policies.
3. Preprints will be included to help you see the full picture of available OA content.
Available Q4 2018
Does posting a preprint
positively or negatively effect
impact of the published
version?
Has my institution’s
policy on self-archiving
been successful?
How is my portfolio of full Gold
Journals performing?
Upcoming changes to Open Access in the Web of Science
will help you understand:
Current Coming soon
Pub Year=2017
Pub Year=2018

8. 8
Improve your institutional systems with trustworthy publications data
APIs | Custom Data Delivery | VIVO Services
Easy data
integration into
More information about available services
Are you confident that your strategic decisions are
based on the best available data?

9. 9
News about old IF
- citation repartition graph
- citable items displayed
- 5 other measures

10. 10
Scielo Citation Index on the Web of Science
Our citation network includes Chinese database
Integration with
ORCID /Researcher Id / EndNote
660K records from 14 collections since 2002

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Interoperability, Visibility, Credibility
More Transparency
• Transparent database structures that enable interoperability and
control
• Transparent display hierarchies that ensure visibility thanks to
multiple filtering options
• Transparent harvesting workflows and selection/de-selection criteria
and to maintain credibility

12. 12Some questions
If transparency of criteria is necessary to gain credibility.
o why do I see these results rather than others in the first page?
o is it because of my search history/ my language, my profile, my location?
o is it because of others‘ history? Popular searches? Trend topics?
If curation is necessary to gain credibility and also to let room for visibility of each and all items
o after how many pages of results do I only find duplicate results?
o Is duplication due to slightly different indexation of the same record or same indexation of a slightly
different record?
And if I look at aggregated data, or statistics and ratios based on aggregated data,
o can I go back to the source?
o can these results be recalculated for control?
o What are the analytical capabilities of the database? What are the indicators that I´ll want to see?
To finish, a question about interoperability:
o can there be an excess of it?
This would be a closed integration, where systems which used to run independently are integrated into the same operating
workflow. Then this integration into a suite of products would make them unable to work without one another. This would lead
to a lock up of the user into one sole environment and one sole vendor.