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SHARE:A healthy ecosystem thrives on openness
Judy Ruttenberg, SHARE Program Director, ARLEmerging Trends in Scholarly Publishing
April 21, 2016
SHARE Partners
● Association of Research Libraries● Association of American Universities● Association of Public and Land-grant Universities● Center for Open Science
Sponsors
Mission
SHARE is a higher education initiative whose mission is to maximize research impact by making research widely accessible, discoverable, and reusable.
Mission
SHARE is a higher education initiative whose mission is to maximize research impact by making research widely accessible, discoverable, and reusable. To fulfill this mission SHARE is building a free, open data set about research and scholarly activities across their life cycle.
Open infrastructure for open access
● OA advocacy & policy is more mature than OA infrastructure & implementation
● OA implementation infrastructure should be open○ Metadata○ Standards and identifiers○ Code, platforms, and APIs
The future of open scholarship
“We find ourselves two decades into the transition of research communication from a paper-based
endeavor to a web-based digital enterprise, and well into the transition of the research process itself from
a largely hidden activity to one that becomes plainly visible on the global network.”
Herbert Van de Sompel“Reminiscing About 15 Years of Interoperability Efforts” (DLib Magazine, Nov./Dec. 2015)
#openworkflow
The lifecycle approach
“All scholarly digital research objects—from data to analytical pipelines—benefit from application of these [FAIR data] principles, since all components of the research process must be available to ensure transparency, reproducibility, and reusability.”
Nature. Scientific Data Comment. Wilkinson, et al. “The FAIR Guiding Principles for scientific data management and stewardship” March 15, 2016.
NotifyProviders ConsumersGather
SHARE Notify providers by type
Mark Hahnel (figshare), on SHARE
“As the world’s largest driver of knowledge, the academic system should provide new ways for researchers to query and consume content. In order to do so, the world’s repositories need some common application programming interfaces (APIs). This is where SHARE is making huge strides, by pulling together data sets from many of the world’s most-used repositories, such as figshare. In turn, SHARE’s aggregating of data sets can feed discovery of content in sites that may not have the same exposure as figshare or discovery of data from across disciplines. “
SHARE API is open
https://osf.io/bygau/
There is a lot of work to do
http://bit.ly/1ToHJt8
Build new discovery, search, and visualization tools
SHARE Curation Associates
35 professional librarians in inaugural cohort
● Information extraction through application programming interfaces (API) and OAI-PMH feeds
● Building content harvesters● Basic programming in Python● Methods and tools to automate data cleaning and
metadata enhancements (using programming scripts and/or OpenRefine)
All tools used will be open source.
SHARE Curation Associates
Associates will commit to spending two to three hours per week curating, linking, and/or enhancing the SHARE data set from their home institution or working on their home institution’s feed into SHARE.
SHARE Curation Associates
Conduct at least two additional SHARE curation trainings, at local workshops, conferences, or webinars within their region within 12 months OR host a curate-a-thon within their region within 12 months.
A tool for teaching and learning
● Digital scholarship center workshops● Student internships and independent studies● Library and Information Science course modules
SHARE provides an opportunity to advance an academy-friendly scholarly communication agenda in a service
learning context
Technical work of SHARE going forward
Schema work:
● to connect research components ● to connect multiple instances of an object to a
singular entity ● to model conflict in previously mentioned multiple
instances of an object● to capture provenance/history across objects,
instances of objects, and resolution of conflict
Technical work of SHARE going forward
● Modeling the aggregated (meta)data while considering API and query complexity
● Modeling interface to expose this data to users for curation
There is a lot of work to do
www.share-research.org/updates
info@share-research.orgjudy@arl.org
@SHARE_research
Get involved!
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