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Building Connectivity Between Diverse and Diffused Resources



Scholarly outputs reside on a variety of platforms – institutional repositories, discipline-specific preprint servers, and commercially-owned services such as GitHub or Figshare. How do you maximize discovery and monitor usage of a scholarly output when it may not be hosted in a single location? The participants in this round table discussion will help us brainstorm how to build the best solution together to this challenge for scholars, researchers, information professionals, and students

Confirmed speakers include, Maria Cotera, Partnerships Development Manager, Figshare; Mike Nason, Publication Support Specialist/Metadata/Crossref Liaison, Public Knowledge Network and University of New Brunswick; and Polinho Mota, Data Coordinator, data_labe.

Event Sessions


Mike Nason

Publication Support Specialist/Metadata and Crossref Liaison
Public Knowledge Network / University of New Brunswick

In anticipation of this event, the following questions were posed to the panel as a basis for discussion…

Please share how your organization or project helps connect scholarly outputs scattered across various platforms, how does it work? how would researchers or others use your systems/platforms?

What are common challenges scholars and researchers and journalists face when trying to locate an access scholarship residing in multiple repositories or platforms and what kinds of processes or systems can be leveraged to create easier discovery and access?  

What role can standards play? What metadata standards or best practices are currently in place that are beneficial?  What additional standards would be helpful solutions?

How can we strike a balance between centralization and decentralization of scholarly resources?

How do language barriers affect discoverability and usability in scholarly outputs?  What can be done to make content available in multiple languages and ensure diversity of representation?

How does or will Artificial Intelligence assist or complicate discovery of scholarly outputs living on disparate platforms?

These resources and datasets can and should also be used by people that aren’t necessarily researchers in the traditional sense, such as journalists, for example. Is there any way we can ensure that these scholarly resources are discoverable and accessible for them and vice-versa, as they’re also creating their own datasets?

What tools do you recommend for assessing and measuring usage and impact of scholarly content across different platforms?

How can collaboration build a more cohesive scholarly ecosystem?

Are there ethical or privacy concerns that should be considered and addressed? Are there guidelines or best practices to both avoid and how to proceed in case of an accidental leak of sensitive personal information in a dataset?

In an era of open science and open access, how can we ensure that scholarly outputs hosted on commercial platforms like GitHub and Figshare remain accessible? - in regards to governance and acquisition, for example, if either service is bought by x company then how to ensure this content remains accessible?

Are there cost barriers associated with accessing and producing scholarly resources that impede equitable access for those from lower socioeconomic backgrounds and how do we ensure equity?

Related Information and Shared Resources:

Shared by speaker, Maria Cotera:

Upcoming: State of Open Data 2023 (November 16 and 28)Join Figshare, Digital Science & Springer Nature for a two-part State of Open Data webinar series! Now in its eighth year, The State of Open Data is the longest running longitudinal survey on researchers’ attitudes towards open data and open science practices.

NISO Plus Figshare RepositoryDiscover research from NISO Plus!

Shared by moderator, Gabi Mejias:

From Digital Science/Figshare: The State of Open Data 2022 (Authored by Digital ScienceDigital ScienceGregory GoodeyGregory GoodeyMark HahnelMark Hahnel) - Based on a global survey, the report is now in its seventh year and provides insights into researchers’ attitudes towards and experiences of open data. With more than 5,400 respondents, the 2022 survey is the largest since the COVID-19 pandemic began.

The Principles of Open Scholarly Infrastructure - Governance, Sustainability, and Insurance

Posse - Who has committed to the POSI principles?

From The National Institute of Health Office of Data Science Strategy: Generalist Repository Ecosystem Initiative - The long-term vision for GREI is to develop collaborative approaches for data management and sharing through inclusion of the generalist repositories in the NIH data ecosystem. GREI also aims to better enable search and discovery of NIH-funded data in the generalist repositories.

Shared by speaker, Mike Nason:

From the Public Knowledge Project: Global Usage of OJS (Open Journal Systems) - More than 8 million items have been published with Open Journal Systems, our open-source publishing software trusted by more than a million scholars in almost every country on the planet.

Additional Information

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Broadcast Platform

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