NISO Open Access
Preprint Servers 2019
©14 November 2019, Gregory J. Gordon
https://medium.com/@almeida_brian/the-long-and-winding-road-of-life-dd5df1f651d1
There is only one thing in life worse than being
talked about, and that is not being talked about.
- Oscar Wilde
https://www.discogs.com/The-Beatles-The-Long-And-Winding-Road/master/81056
May 2016
Story of Gregg
The Funnel
Story of SSRNStory of Social Science Research NetworksStory of Super Special Research Networks
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Published Paper
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Early Stage Research
Stage 1 Stage 3Stage 2
Individual Defined
SSRN Defined Subscriber Access
Site Access
Author Access
Libraries
Academic Institutions
Professional Firms
Publishing Partners
Database Content
§ Commercialization: In the 1960s,
commercial publishers began acquiring top-
quality journals which were previously
published by nonprofit academic societies
§ Market Domination: Large commercial
publishers dominate the market with high
profit margins while smaller publishers
operated with lower margins
§ Serials Crisis: From the 1990s through the
2000s, prices for journals in certain areas
skyrocketed beyond the capacity of many
libraries or universities to keep up
Evolution of Scholarly Publishing
Open Access is a Step in the Evolution
§ Resulting Rise of Open Access: Due to the
proliferation of the Internet and rising journal
costs, Open Access, unrestricted online
access to peer-reviewed scholarly
research, arose
Failure of Trust: Publishers are seen as only
caring about their own bottom line - from 1986-
2003, the serials subscription prices rose 215%
while the Consumer Price Index rose 68% during
the same period
Digitization
Open
Access
Failure of trust and abuse of power
provide fertile ground for backlash
against traditional publishing models
Individual
Users create content, consume content
and enhance content AND no longer
need legacy publishing systems
Internet allows for easier dissemination
of information throughout the world and
creates friction with legacy systems
Future?
https://www.nexusinvestments.com/wp-content/uploads/2016/06/luke_darth.jpg
FUTURE
https://www.elsevier.com/connect/kumsal-bayazit-on-collaborating-to-support-the-research-community-the-next-chapter
Knowledge Graph
Data Model & Requirements
Article metadata – pii, date, version etc.
Domain ID –which domain is this content
Assertion Identifiers - URI
Assertion string – and x-path for xml location
Confidence score – quality score for accuracy
Author validation marker – indicator of author check
Assertion annotations – concepts found in assertion
Assertion semantics – triple store w/ relationships
Related concepts – search similar concepts/findings
Related assertions – search similar relationships
Related documents – list of docs with similar findings
Antonymical relationships – docs w/ opposite findings
Assertion Extraction and Use of Key Highlights
22
0
5
10
15
20
Article Evaluation Article Navigation Content Discovery
How useful are the "Key Assertions per use case
0
5
10
15
20
25
Experimental
Design
Results Methods Findings/Author
Interpretation
Information types requested by users
Not at all useful Not very useful Somewhat useful
Useful VeryUseful
NumberofUserResponses
percategory
NumberofUserResponses
percategory
Thank You!
Gregg@SSRN.com
SSRNblog.com
@SSRN

Gordon "NISO Open Access, Preprint Servers"