FORCE11 Scholarly Commons Working Group Webinar 20171208
Welcome ! Practicalities ● WEBINAR NOTES (please add your questions/comments) https://tinyurl.com/FORCE11-SCWG-webinar ● Duration: 90 minutes ● Please mute when not speaking :-) ● This webinar will be recorded and shared afterwards
Welcome ! Goals of this webinar We are at a crossroads: we think we know what the Scholarly Commons is and are looking for ways to move forward We are asking you for: ● your opinion (and suggestions) on what is worth pursuing ● your interest to contribute in any of the proposed activities WEBINAR NOTES https://tinyurl.com/FORCE11-SCWG-webinar
Welcome ! Programme ● The Scholarly Commons: what has been done and where we are now ● SCWG subgroups: issues addressed, future plans ○ SG1 - Inclusivity ○ SG2 - Principles ○ SG3 - Decision trees ○ SG4 - Enabling technologies and infrastructures ● Live poll ● Where do we go from here? WEBINAR NOTES https://tinyurl.com/FORCE11-SCWG-webinar Dan O’Donnell Chris Chapman Stephanie Hagstrom Ian Bruno
Welcome ! Bastian Greshake Nate Jacobs Jeroen Bosman Programme ● The Scholarly Commons: what has been done and where we Ian Bruno Maryann Martone Fiona Murphy are now ● SCWG subgroups: issues addressed, future plans ○ SG1 - Inclusivity ○ SG2 - Principles Chris Chapman ○ SG3 - Decision trees ○ SG4 - Enabling technologies and infrastructures Stephanie Bianca Kramer ● Live poll Hagstrom ● Where do we go from here? Dan O’Donnell WEBINAR NOTES https://tinyurl.com/FORCE11-SCWG-webinar You! Dan O’Donnell Chris Chapman Stephanie Hagstrom Ian Bruno
Introduction Maryann/Jeroen
• Keep your eyes on the stars and your feet on the ground
Semantic Web Citable Annotation FAIR DCIP Credit Taxonomy Data repositories Social By ORCID networks Katherine PIDs Altmetrics Skinner Data journals Interoperable
● If so, what? ● Have we built it already? ● If not, do we know how?
What are all these declarations saying? and many more: http://tinyurl.com/scholcomm-charters
• • • • • Madrid, February 2016
Open is not the only aspiration... FA I R → Open → Citable → Versioned → Research objects
Values driven Our scholarly practices and reward system should lead to the best scholarship possible “Values should be reflected in our software”— Quote from FORCE2016 “Academic self-determination”- Priego et al, 2017
https://doi.org/10.17605/OSF.IO/6C2XT
web: scholarlycommons.org twitter: @scholrlycommons forum: www.force11.org/scholarly-commons/discussion-forum email: scholarlycommons-info@force11.org preprint: 10.17605/OSF.IO/6C2XT
Subgroup 1 Subgroup 2 Subgroup 3+4
WG1: Inclusivity Bastian Greshake and Dan O’Donnell
WG2: Principles Jeroen Bosman, Dan O’Donnell and Bianca Kramer
→
● Giving direction to a community ● Showing what people could pledge ● Guiding development of policies & tech
WG3: Decision Trees Fiona Murphy and Maryann Martone
Resources in the commons should be: FAIR → Open → Citable → Versioned → Research objects
https://www.force11.org/scholarly-commons/practice San Diego, Sept 2016
● ● ●
● ● ● ● ●
Matrix of the commons: Organizing and applying what we’ve learned Decision tree: Making Data Denton Declaration data open Open Principles of open Decision tree: Making Repositories scholarly infrastructures data open Entity, object or SC principle Community principles Decision tree action
Library of high level decision trees that can be adapted for each community ● Built on open source software stack so they are available to the community ● Recommendations are generic but can be adapted for more specific uses ○ e.g., FAIR Data recommendation: Deposit your data in a specialist repository if one is available ○ SCI: Deposit your data in the Open Data Commons for Spinal Cord Injury
• • • • • • • • •
• Why should I participate? • What can I do? – e.g. supply domain knowledge, support Policy Models software, help with funding • We need more capacity to allocate persistent identifiers, input metadata and provenance information, attribute actions and works and automate versioning. • What are the consequences of investing (not monetary but time and effort)? • What are the consequences of NOT investing (money, time AND effort)?
0000-0002-8406-3871
Scholarly Commons WG4 Enabling Technologies and Infrastructures
Big picture overview 1. Positioning & rationale 2. Current approaches & where we are 3. Where we want to go & how you can get involved 4. Questions & answers
Positioning & Rationale
Positioning of WG4 within the FORCE11 Scholarly Commons Working Group’s efforts
Technology is part of this.
The cultural and technical are one. We cannot look at one without seeing the other.
Technologies and infrastructures are projections of culture.
In response to the “Right now, the research system works in an extremely complex manner where pecking Subversive Proposal: orders, legitimacy, memory building through proper archiving and bibliographic efforts and even communication :-) takes place. This is the given and we must start from there while, simultaneously conjuring up the right vision for the future. In short we must simultaneously have the right vision of the present and the right vision of the future to have a chance to chart the right course between now and the future . The word “right” occurs three times in this sentence and it points to the fundamental difficulty of the task. In fact it is daunting, but it should not discourage us.” (Jean-Claude Guédon 1994)
CC-BY-SA JMortonPhoto.com & OtoGodfrey.com
Theoretical backbone (at least of group’s inception) Thinking in Systems: A Primer Donella H. Meadows (Publisher, Amazon) Notes on the Synthesis of Form Christopher Alexander (Publisher, Amazon)
We need a new form to fit the context of contemporary society. This is a design problem.
Scholarly Commons Current Needs of Society
A slide from Thomas Mboa’s 2017 OpenCon presentation
“The whole question, then, is how to move from a Westernization of science to a truly shared science…” (Bonaventure Mvé-Ondo)
Current approaches & where we are
Our goals & current approaches Scholarly Commoning Laboratory Understanding the context Designing for fitness iterate
Understanding “Christopher Alexander discusses the process by which a form is adapted to the context of the context human needs and demands that has called it into being. He shows that such an adaptive process will be successful only if it proceeds piecemeal instead of all at once .… When the designer, in our own self-conscious culture, is called on to create a form that is adapted to its context he is unsuccessful, because the preconceived categories out of which he builds his picture of the problem do not correspond to the inherent components of the problem , and therefore lead only to the arbitrariness, willfulness, and lack of understanding which plague the design of modern buildings and modern cities.” (source)
Understanding We’re developing a list of scenarios about the types of interactions which might occur in a the context scholarly commons. A common theme to those scenarios is connections. We are developing a list of questions as well as ways to manage and preserve these questions and the process of finding answers. We are aggregating a pool of topics/projects, from which we will reach out and invite leaders of these topics or projects to weekly calls for discussion.
Designing for Constant experimentation with approaches that may help to preserve the continuity of a fitness broad-reaching, multi-faceted exploratory research process (cf. The Challenge ). Example: We’ve run into the problem of having a lot of distributed raw information and need something to make it easier for new people to understand what our process is, where we are in that process, and how best to participate. A proposal was made that we try Knowen to see how well it could help with this task: http://knowen.org/nodes/23403
Where we want to go & how you can get involved
End goal ??? (this is still and will continue to be under discussion) Possibilities include: “Some kind of decentralised knowledge map that could connect all kinds ● of scholarly/knowledge commons, be they from academic, diy, indigenous, non-western etc communities.” To build some sort of map using the raw data we will have collected; ● something that could eventually be useful to humans and machines in helping with next steps of research. Something that could be very basic at first but with an ability to scale in complexity and diversity.
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