An introduction to open science for the Library Journal webcast Case Studies for Open Science on February 9, 2016.
http://lj.libraryjournal.com/2016/01/webcasts/case-studies-for-open-science/
Academics must provide evidence to demonstrate the impact and outcomes of their scholarly work. This webinar, presented by librarians, will help faculty explore various forms of documentary evidence to support their case for excellence. Sponsored by the IUPUI Office of Academic Affairs.
Note: The webinar included demonstrations of Web of Science & Scopus, which the slides do not reflect.
This presentation was provided by Emma Warren-Jones of Scholarcy, during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
LITA’s Altmetrics and Digital Analytics Interest Group is proud to present Heather Coates, Richard Naples, and Lauren Collister in our second free webinar of the season. Heather will introduce the concept of altmetrics with a quick "Altmetrics 101," Richard will discuss the Smithsonian's implementation of Altmetric, and Lauren will share the University of Pittsburgh's experience with Plum Analytics.
This presentation was provided by Pamela Shaw of Northwestern University during the NISO Webinar, Compliance with Funder Mandates, held on September 14, 2016
Academics must provide evidence to demonstrate the impact and outcomes of their scholarly work. This webinar, presented by librarians, will help faculty explore various forms of documentary evidence to support their case for excellence. Sponsored by the IUPUI Office of Academic Affairs.
Note: The webinar included demonstrations of Web of Science & Scopus, which the slides do not reflect.
This presentation was provided by Emma Warren-Jones of Scholarcy, during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
LITA’s Altmetrics and Digital Analytics Interest Group is proud to present Heather Coates, Richard Naples, and Lauren Collister in our second free webinar of the season. Heather will introduce the concept of altmetrics with a quick "Altmetrics 101," Richard will discuss the Smithsonian's implementation of Altmetric, and Lauren will share the University of Pittsburgh's experience with Plum Analytics.
This presentation was provided by Pamela Shaw of Northwestern University during the NISO Webinar, Compliance with Funder Mandates, held on September 14, 2016
This presentation was provided by Sarah Young of Cornell University during a NISO webinar on the topic of Compliance With Funder mandates, held on September 14, 2016.
Existing Impact factors are heavily criticized as measures of scientific quality. However,they are still used to select candidates for positions or consider during promotion of academic staff or grant application processes. As a consequence, researchers tend to adapt their publication strategy to avoid negative impact on their careers. The presenter, a researcher and a librarian. describes the existing metrics and shows how to improve alternative impact factors.
Your Systematic Review: Getting StartedElaine Lasda
Presentation for University at Albany- SUNY community related to best practices for conducting systematic reviews and other evidence synthesis practices.
Scholarly Metrics in Specialized SettingsElaine Lasda
Presentation for the Bibliometric and Research Impact Community (BRIC) of Canada on case studies of research impact in specialized settings. Focus on Michigan Publishing by co-presenter Rebecca Welzenbach
This presentation was provided by Vincent Cassidy of The IET during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
Early Career Tactics to Increase Scholarly ImpactElaine Lasda
Workshp for Ph.D. candidates, postdocs and faculy on how bilbiometrics, altmetrics, open access, ORCID, and other resources enable greater visibility of research output.
Lecture on "Altmetrics: An Alternative View-Point to Assess Research Impact" in Five days Advanced Training Programme on Bibliometrics and Research Output Analysis during 15th - 20th June, 2015 at INFLIBNET Centre, Gandhinagar.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
Bibliometrics and research impact workshop in the scienes and engineering fieldsDiane Clark
This presentation gives an introduction to researchers in the sciences and engineering about bibliometrics. It also recommends ways to increase impact of published and non-published works.
This presentation was provided by Sarah Young of Cornell University during a NISO webinar on the topic of Compliance With Funder mandates, held on September 14, 2016.
Existing Impact factors are heavily criticized as measures of scientific quality. However,they are still used to select candidates for positions or consider during promotion of academic staff or grant application processes. As a consequence, researchers tend to adapt their publication strategy to avoid negative impact on their careers. The presenter, a researcher and a librarian. describes the existing metrics and shows how to improve alternative impact factors.
Your Systematic Review: Getting StartedElaine Lasda
Presentation for University at Albany- SUNY community related to best practices for conducting systematic reviews and other evidence synthesis practices.
Scholarly Metrics in Specialized SettingsElaine Lasda
Presentation for the Bibliometric and Research Impact Community (BRIC) of Canada on case studies of research impact in specialized settings. Focus on Michigan Publishing by co-presenter Rebecca Welzenbach
This presentation was provided by Vincent Cassidy of The IET during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
Early Career Tactics to Increase Scholarly ImpactElaine Lasda
Workshp for Ph.D. candidates, postdocs and faculy on how bilbiometrics, altmetrics, open access, ORCID, and other resources enable greater visibility of research output.
Lecture on "Altmetrics: An Alternative View-Point to Assess Research Impact" in Five days Advanced Training Programme on Bibliometrics and Research Output Analysis during 15th - 20th June, 2015 at INFLIBNET Centre, Gandhinagar.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
Bibliometrics and research impact workshop in the scienes and engineering fieldsDiane Clark
This presentation gives an introduction to researchers in the sciences and engineering about bibliometrics. It also recommends ways to increase impact of published and non-published works.
Open Science, Open Data: towards a new transparent and reproducible ecosystemLIBER Europe
Presented at the Preforma Open Source Workshop 8 April 2016
As a library membership organization, LIBER works on addressing Open Science barriers. Standardisation of file formats can really help in overcoming some of these barriers: it enables us to process and preserve data in a controlled way, it helps ensure that outputs are really open and accessible in the long term and it improves interoperability of new tools and services. Making sure data is stored in a controlled way and can be (re) used today and in the future is an important element in Open Science. We see this as not only a technical challenge but also a social one: awareness, trust and community building is needed in order to ensure uptake of these standards. Libraries therefore have a valuable role to play in the development of good research data management throughout all phases of the Open Data lifecycle.
Explore open access books - Springer Nature event in New York (2019-09)Springer Nature
In September 2019 Springer Nature held a researcher event exploring the topic of open access books. This slide deck includes presentation slides from each session:
1. Welcome (Bill Tucker, VP, Books, Medicine & Life Sciences, Springer Nature)
2. Why publish your book open access? (Rosalind Pyne, Director OA Books, Springer Nature) - slides 4-21
3. A funder’s perspective of open access books (Leslie Rutkowski, The International Association for the Evaluation of Educational Achievement (IEA)) - slides 22-49
4. Tracking impact for open access authors: author services & tools (Christina Emery, Open access books Marketing Manager, Springer Nature) - slides 50-67
5. Author panel: Perspectives on publishing an open access book (Chair: Philip Getz, Senior Commissioning Editor, Palgrave Religion & Philosophy. Open access book authors: Daniel Hess (University at Buffalo), Juha Uitto (Global Environment Facility), Sophie Mitra (Fordham University).) - slides 68-71.
Aidan Horner spoke about Psychology's Open Science Interest Group at the first Open Data in Practice event at the University of York on 15 November 2018.
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Presenters:
Abigail Goben, University of Illinois Chicago
Tina Griffin, University of Illinois Chicago
Sara Scheib, University of Iowa
Scott Martin, University of Michigan
Panel Leads:
Megan Sapp Nelson, Purdue University
Marina Zhang, University of Iowa
The Challenges of Making Data Travel, by Sabina LeonelliLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Sabina Leonelli, Exeter Centre for the Study of Life Sciences (Egenis) & Department of Sociology, Philosophy and Anthropology, University of Exeter
This presentation starts with basic information about the Social Science Data Archives. Then it mostly introduces complexity and diversity of research data field. Participants can learn about Open Data project in Slovenia, about research lifecycle and research data lifecycle. And it concludes with roles and responsibilities in research data lifecycle.
Event was one of Foster Cessda trainings for doctoral students.
Videos: http://videolectures.net/adptecaj2015_ljubljana/
Related link: https://www.fosteropenscience.eu/event/cessda-research-data-management-open-data-doctoral-training-series-research-data-management
Open Research – an introduction. Presented by Judith Carr, Research Data Manager, Open Research Team, University of Liverpool Library. Session aims:
* To show how open research can involve the research lifecycle from the beginning to the end.
* To encourage you as researchers to recognise opportunities where you can be more open
Transforming liaison roles for academic librarians is critical, as universities are moving to position themselves to meet the demands of a more competitive national research environment. At La Trobe University, librarians are repackaging current research support services to streamline and incorporate these more efficiently into the researcher’s life cycle, in order to support the University’s research initiatives
Research methods in open education: insights from the Global OER Graduate Ne...Robert Farrow
Presentation from the ALT Summer Summit 2020 describes the GO-GN Research Methods Handbook which supports researchers working in the field of open education
Academic Social Networks and Researcher RankingAmanyalsayed
Open science and web scholarly communication
Using Web 2.0 to increase researcher’s ranking
Academic Social Networks (types, services)
Question & Answer service
Sharing your research output through ASN
Researcher measurement (h-index, RG score)
ASN and researchers’ concerns
LIBER, Ligue Européenne des Bibliothèques de Recherche, launched its new strategy 2018-2022 in November 2017. This presentation gives an overview about LIBER's vision, strategic directions, steering committee and working groups - existing and to be created in the years to come.
International Workshop on
"Information Management Tools for Academic and Research Libraries", All India Shri Shivaji Memorial Society’s
College of Engineering, Pune – 1
18 to 22 December 2017 Lars Bjørnshauge
Agenda
- Research Assessment and Reward systems – an obstacle for the implementation of Open Access
- Questionable publishers – and how to detect them
- Improving the quality of journals published in India
- Whitelists!?
International Workshop on "Information Management Tools for Academic and Research Libraries", All India Shri Shivaji Memorial Society’s College of Engineering, Pune – 1
18 to 22 December 2017 Lars Bjørnshauge
Basic statements about the current Scholarly Communication System.
The promises of Open Access!
Where are we now with Open Access?
DOAJ and what we do!
Gather evidence to demonstrate the impact of your researchIUPUI
This workshop is the 3rd in a series of 4 titled "Maximize your impact" offered by the IUPUI University Library Center for Digital Scholarship. Faculty must provide strong evidence of impact in order to achieve promotion and tenure. Having strong evidence in year 5 is made easier by strategic dissemination early in your tenure track. In this hands-on workshop, we will introduce key sources of evidence to support your case, demonstrate strategies for gathering this evidence, and provide a variety of examples. These sources include citation metrics, article level metrics, and altmetrics as indicators of impact to support your narrative of excellence.
Teaching data management in a lab environment (IASSIST 2014)IUPUI
Equipping researchers with the skills to effectively utilize data in the global data ecosystem requires proficiency with data literacies and electronic resource management. This is a valuable opportunity for libraries to leverage existing expertise and infrastructure to address a significant gap data literacy education. This session will describe a workshop for developing core skills in data literacy. In light of the significant gap between common practice and effective strategies emerging from specific research communities, we incorporated elements of a lab format to build proficiency with specific strategies. The lab format is traditionally used for training procedural skills in a controlled setting, which is also appropriate for teaching many daily data management practices. The focus of the curriculum is to teach data management strategies that support data quality, transparency, and re-use. Given the variety of data formats and types used in health and social sciences research, we adopted a skills-based approach that transcends particular domains or methodologies. Attendees applied selected strategies using a combination of their own research projects and a carefully defined case study to build proficiency.
Objectives: To explore potential collaborations between academic libraries and Clinical Translational Science Award (CTSA)-funded institutes with respect to
data management training and support.
Methods: The National Institutes of Health CTSAs have established a well-funded, crucial infrastructure supporting large-scale collaborative biomedical research. This infrastructure is also valuable for smaller, more localized research projects. While infrastructure and corresponding support is often available for large, well-funded projects, these services have generally not been extended to smaller projects. This is a missed opportunity on both accounts. Academic libraries providing data services can leverage CTSA-based resources, while CTSA-funded institutes can extend their reach beyond large biomedical projectsto serve the long tail of research data.
Results: A year-long series of conversations with the Indiana CTSI Data Management Team resulted in resource sharing, consensus building about key issues in data management, provision of expert feedback on a data management training curriculum, and several avenues for future collaborations.
Conclusions:Data management training for graduate students and early career researchers is a vital area of need that would benefit from the combined infrastructure and expertise of translational science institutes and academic libraries. Such partnerships can leverage the instructional, preservation, and access expertise in academic libraries, along with the storage, security, and analytical expertise in translational science institutes to improve the management, protection, and access of valuable research data.
Data sharing promotes many goals of the NIH research endeavor. It is particularly important for unique data that cannot be readily replicated. Data sharing allows scientists to expedite the translation of research results into knowledge, products, and procedures to improve human health. Do you know what a data sharing plan should include? Are you aware of common practices and standards for data sharing? Do you know what services are available to help share your data responsibly? This workshop will begin to address these questions. Q&A will follow the presentation. Anyone interested in or planning to apply for NIH funding should attend. Note: The NIH data-sharing policy applies to applicants seeking $500,000 or more in direct costs in any year of the proposed research.
Data sharing promotes many goals of the NIH research endeavor. It is particularly important for unique data that cannot be readily replicated. Data sharing allows scientists to expedite the translation of research results into knowledge, products, and procedures to improve human health. Do you know what a data sharing plan should include? Are you aware of common practices and standards for data sharing? Do you know what services are available to help share your data responsibly? This workshop will begin to address these questions. Q&A will follow the presentation. Anyone interested in or planning to apply for NIH funding should attend. Note: The NIH data-sharing policy applies to applicants seeking $500,000 or more in direct costs in any year of the proposed research.
Data Management Lab: Session 4 Slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Data Management Lab: Session 4 Review OutlineIUPUI
Data Management Lab: Session 4 Review Outline (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Data Management Lab: Session 3 slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Data Management Lab: Session 3 Data Entry Best PracticesIUPUI
Data Management Lab: Session 3 Data Entry Best Practices (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Data Management Lab: Session 3 Data Coding Best PracticesIUPUI
Data Management Lab: Session 3 Data Entry Best Practices (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Spring 2014 Data Management Lab: Session 2 Slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Data Management Lab: Session 2 - Documentation InstructionsIUPUI
Spring 2014 Data Management Lab: Session 2 Documentation Instructions (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Spring 2014 Data Management Lab: Session 1 Slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Data Management Lab: Data mapping exercise instructionsIUPUI
Spring 2014 Data Management Lab: Session 1 Data mapping exercise instructions (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Basic phrases for greeting and assisting costumers
Case studies for open science
1. Case Studies for
Open Science
Robin Champieux – Scholarly Communication Librarian, Oregon
Health & Science University
Heather Coates – Digital Scholarship & Data Management Librarian,
Indiana University Purdue University – Indianapolis (IUPUI)
2.
3.
4.
5. Elements of open science
Making each phase of
the research life cycle
more open
• Open notebooks
• Open data
• Open research software
• Open access
Each element of the
research process should
• Be publicly available
• Be reusable
• Induce collaboration
• Be transparent and
have appropriate
metadata
Source: UKeiG White Paper: Open Science, Open Data, Open Access…
7. Ensuring the integrity of the scholarly record
• Open Access
• IR for pre- and post-prints, conference presentations, posters, all manner
of grey literature
• Supporting OA journals
• Pre- & post-pub peer review
• Reduce time-to-publication
• Open Data
• Open data standards & guidelines
• Data publishing – journals & repositories
• Data discovery, citation, & impact
• Open Reproducible Research
• Study registration
• Cite code & software
• Publish negative/neutral results
• Using open file formats
• Long-term preservation
8. Ensuring the integrity of the scholarly record
• Open Science Evaluation
• Metrics for all products
• Open metrics (citation, ALM, altmetrics, webometrics)
• Open peer review
• Open Science Policies
• Retraction & correction
• Licensing for reuse
• Funder, publisher, institutional policies
• Open Science Tools
• IR & data repositories
• Unique identifiers (e.g., ORCID, DOI, FundRef, etc.)
• Open licenses for IP, data, code, etc.
9. Openness throughout the research process
• Open notebooks
• Open scientific workflows & data provenance
• Open source
• Data sharing/open data
• Use of standards
• Cataloged for discovery
• Machine-readable
• Open file formats
• Reproducibility guidelines
• Reproducibility & irreproducibility (meta)research
• Open peer review
• Open research evaluation data and guidelines
10. Expanding the scholarly record
• Funding proposals
• Data management plans
• Study registration
• Conference presentations, posters, panels, etc.
• Blog posts, social media conversations
• Formal and informal pre- and post-publication review
• Connecting scholarly products through unique identifiers
• Create a more complete scholarly record
11. The potential of open science
• Data reuse & the open data citation advantage
• Open Source Malaria
• Alzheimer’s drug discovery Big Data portal
• Galaxy Zoo
• Foldit
• Open data as open educational resources (pre-print)
12. Open librarianship/LIS
Why?
• Role as practitioners-scholars
• Values align with missions of open science
• Demonstrate the change we want to see from other disciplines
• Provide practical experience and use cases
How?
• Conduct “how open is it?” analysis of our own literature
• Open up our circulation, collection, reference, instructional, &
other data for use as OER by LIS students
• License our data for reuse
• Build our own tools & systems to aggregate and use our data, to
improve practice through data-driven research
13.
14. References
1. Tennant, J. & Mounce, R. (2015). Open Research Glossary. figshare. doi:
10.6084/m9.figshare.1482094.v1.
2. UK eInformation Group of CILIP. (2015). Open Science, Open Data, Open
Access…A UKeiG White Paper. Retrieved from
http://www.cilip.org.uk/sites/default/files/documents/open_access_white_p
aper_final.pdf
3. OECD (2015), “Making Open Science a Reality”, OECD Science, Technology
and Industry Policy Papers, No. 25, OECD Publishing, Paris. doi:
10.1787/5jrs2f963zs1-en
4. Brosh, A. (2010). This is why I’ll never be an adult [Web log post]. Retrieved
from http://hyperboleandahalf.blogspot.com/2010/06/this-is-why-ill-never-
be-adult.html.
15. Resources to learn more
• Open Research Glossary
• https://figshare.com/articles/Open_Research_Glossary/1482094
• Why Open Research?
• http://whyopenresearch.org/
• McKiernan et al, The open research value proposition (white paper)
• https://docs.google.com/document/d/1UFvxOGSvOE347cW0_NCcYemybm
1EOh5tXlXADZ3w2Hs/edit
• FOSTER EU Toolkit for Training Sessions
• https://www.fosteropenscience.eu/project/images/documents/D4.2Toolkit
fortraining.pdf
Editor's Notes
The scholarly ecosystem is complex with lots of unknowns in the system; we don’t have a clear understanding of how the system works
We are starting to see interesting meta-research – research about research – that is beginning to fill in some of these gaps
Open science is a big idea
Hand-drawn mind map of open science on top of scholarly ecosystem