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(r)evolutions in scholarly publishing
LISA VIII (Library and Information Services in Astronomy) conference June 9th, 2017, Strasbourg Presented by José Stoop
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Changing times Changing times | Collaboration | Data | In conclusion
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Changes to electronic era, access models, article interface, etc…
Changing times | Collaboration | Data | In Conclusion Changes to electronic era, access models, article interface, etc…
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Changes in researcher responsibilities
Changing times | Collaboration | Data | In Conclusion Changes in researcher responsibilities Researchers still spend 25% of their time reading journal content
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Changing publisher services
Changing times | Collaboration | Data | In Conclusion Changing publisher services
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Platforms becoming decision support tools, built on content and data
Changing times | Collaboration | Data | In Conclusion Platforms becoming decision support tools, built on content and data Read Search Do this this this Cell Journals Gray‘s Anatomy ScienceDirect Scopus ClinicalKey® Reaxys® Sherpath Mendeley InferMed Knovel®
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Collaboration Changing times | Collaboration | Data | In conclusion
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The dynamics of information exchange is changing
Changing times | Collaboration | Data | In Conclusion The dynamics of information exchange is changing Increasing choice of channels, each with different qualities Social networking and sharing websites are playing an increasingly important role research gate, open science, google scholar, authorea, preprint servers etc: sociale omgeving wordt steeds belangrijker. Workflows zijn heel anders gaan lopen, veel minder rechtlijnig dan voorheen. Verschilt ook heel erg per discipline (astronomy: arxiv, life sciences: OA). Toegevoegde waarde van publisher kan zijn om customized oplossingen te beiden als uitgever. Publisher kent nu eenmaal de community heel goed en heeft de tools.
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Cross-publisher developments
Changing times | Collaboration | Data | In Conclusion Cross-publisher developments Mendeley Metrics/Stats/Groups CiteScore (“basket of metrics” launch June 2017) DataSearch Pure / SciVal ORCID CrossRef RDA
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Mendeley Groups pilots – some examples
Changing times | Collaboration | Data | In Conclusion Mendeley Groups pilots – some examples Biomaterials Peer Review Debate Room (Private) – Training & support for junior/aspiring peer-reviewers 10 Tips for writing a truly terrible journal article (Public) – Q&A on effective article-writing Data Citation Q&A (Public) – In-depth discussion about views and ideas on data citation
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Data Changing times | Collaboration | Data | In conclusion
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A Maslow Hierarchy for Research Data
Changing times | Collaboration | Data | In Conclusion A Maslow Hierarchy for Research Data 10. Integrate upstream and downstream – make metadata to serve use. 9. Re-usable (allow tools to run on it) 8. Reproducible Use 7. Trusted (e.g. reviewed) 6. Comprehensible (description / method is available) 5. Citable 4. Discoverable (data is indexed or data is linked from article) Share 3. Accessible 2. Preserved (long-term & format-independent) Save 1. Stored (existing in some form)
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Store, Access: Mendeley Data
Changing times | Collaboration | Data | In Conclusion Store, Access: Mendeley Data Linked to published papers – or not Linked to Github – or not Versioning and provenance tracking Different Licenses: GNU-PL, CC-BY CC0, etc
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Access, cite: Data-linking
Changing times | Collaboration | Data | In Conclusion Access, cite: Data-linking Integrated in paper submission process Supplementary data is never behind a paywall Closely integrated with > 150 databases: Linking through in-article code / data accession numbers Database banners shown next to the article on ScienceDirect
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Changing times | Collaboration | Data | In Conclusion
Cite: Force11
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Changing times | Collaboration | Data | In Conclusion
Discover: Datasearch Chemistry data are retrievable from NIST, but only by going to their page in a browser and using their search tools. What about accessible within other applications, or accessible in assistive devices for those with vision impairment? What guarantee do we have the data will remain accessible in case of government funding problems?
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Review: Research Elements
Changing times | Collaboration | Data | In Conclusion Review: Research Elements Brief article types designed to communicate a specific element of the research cycle Complementary to full research papers Easy to prepare and submit Peer-reviewed and indexed Receive a DOI and fully citable Allow citable post-publication updates Primarily Open Access (CC-BY) Published in Multidisciplinary and domain-specific journals Data articles Software articles Method articles Protocols Video Hardware articles Lab resources Full Research paper
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Reproduce: Guidelines and Reproducibility
Changing times | Collaboration | Data | In Conclusion Reproduce: Guidelines and Reproducibility Guidelines STAR Methods (Cell Press) – structured, transparency, accessible, reporting TOP Guidelines – encouraging authors to share data and submit data availability statement Reproducibility of papers Cortex registered reports - method and proposed analysis are submitted for pre-registration, paper is conditionally accepted, research is executed, full paper submitted, accepted provided that protocol is followed Invited Reproducibility Papers – authors are invited to write a reproducibility paper from their original article, reviewers of this new paper also become co-authors (incentive)
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Collaborations and Tools
Changing times | Collaboration | Data | In Conclusion Collaborations and Tools The Research Data Alliance (RDA) builds the social and technical bridges that enable open sharing of data An Electronic Lab Notebook that helps prepare, conduct and analyze experiments virtually Links existing data archiving and sharing efforts together with a common set of tools Search for research data across domains and repositories A framework for exchanging information about links between literature and data A secure cloud-based repository, making it easy to share, access and cite data A community of scholars, librarians, and others that helps facilitate the change toward improved knowledge creation and sharing Research Elements: Publish data, software, materials and methods in brief, citable articles A blueprint for cloud-based services and data infrastructure to ensure science, business and public services reap the benefits of the big data revolution A service to support research librarians in tracking data sharing and use across campus
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Summary Collaborative Efforts Elsevier Efforts
Changing times | Collaboration | Data | In Conclusion Summary Elsevier Efforts Collaborative Efforts 10. Integrate upstream and downstream – make metadata to serve use. Reproducibility Initiatives 9. Re-usable 8. Reproducible Use 7. Trusted 6. Comprehensible Data Lighthouse 5. Citable 4. Discoverable Share 3. Accessible 2. Preserved Save 1. Stored
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Our industry is changing
Changing times | Collaboration | Data | In Conclusion Our industry is changing In conclusion Changing times | Collaboration | Data | In conclusion
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Information Solutions Provider
Changing times | Collaboration | Data | In Conclusion Publisher Elsevier is a world-leading publisher of scientific, technical and medical information products and services Elsevier is a global information analytics company specializing in science and health Now Information Solutions Provider
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Questions? Thank you! J.stoop@elsevier.com
Changing times | Collaboration | Data | In Conclusion Thank you! Questions?
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(Social Research Networks)
Our industry is changing Online communities (Social Research Networks) Print to Electronic Broadcast model (OA models) … …
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Open peer review Freely available Separate DOI
Changing times | Social embedding | Data Initiatives | Peer Review | Forward Look Open peer review Freely available Separate DOI Interlinked to the article Typeset
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Pilot: Molecular Cell, Cell and Neuron
Changing times | Social embedding | Data Initiatives | Peer Review | Forward Look Cross Review: Mendeley Reader Group Pilot Why Cross Review? Most reviewers want to see other referee reports and be informed about the final decision. llaborative peer review is popular at eLife and now available at Science. Pilot: Molecular Cell, Cell and Neuron 94% of reviewers liked the discussion and would be willing to participate in the future All authors felt that cross-review made it clearer how to revise their paper All editors found the forum useful particularly when reviewers disagreed Process longer than conventional review Additional time for reviewers Additional time for editors Pilots to conduct peer review in the Mendeley environment In one pilot, reviewers encouraged to perform the review end-to-end in Mendeley, including annotating the PDF directly in addition to providing summary comments Next pilots will include authors We now plan to expand our ability to implement this approach more broadly Lessons learned: logistically difficult to keep reviewers identities anonymous
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Reviewer Recognition Platform
Changing times | Social embedding | Data Initiatives | Peer Review | Forward Look Reviewer Recognition Platform
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Making it easy for authors to share research data
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So How Do You Publish A Network?
30 So How Do You Publish A Network? Inst. Data Repositorie(s) Lab ELN(s) Data search Data Management Plans Metadata, methods & protocols ready for preservation and publishing Link to article Journal Publish data (under embargo) Secure discoverability in & outside the institution Find Topic Identify gaps Plan & Fund Discover data, people, methods & protocols Collect, analyze & vizualize Store, preserve & share Publish Prepare, reproduce, re-use & benchmark Domain-specific Repositories Primary research data lifecycle Example – your eln being able to publish protocols directly - easing the resaerchers burden Integrate RDM and monitor outputs Data Journal Researchers
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Access, Discover: Scholix/DLIs
Changing times | Social embedding | Data Initiatives | Peer Review | Forward Look Access, Discover: Scholix/DLIs ICSU-WDS/RDA Publishing Data Service Working group, merged with National Data Service pilot Cross-stakeholder – with input from CrossRef, DataCite, OpenAIRE, Europe PubMed Central, ANDS, PANGAEA, Thomson Reuters, Elsevier, and others Proposed long-term architecture and interoperability framework: Operational prototype at (including 1.4 Million links from various sources) IUPAC has recommendations for what word you should use to describe a given property, but the vocabulary itself isn’t very accessible or usable itself, thus is not universally implemented. Each site decides how it wants to label a given property, which hinders indexing and reuse of the data across silos. Structured capture of information using an ELN such as Hivebench enables the researcher to report data using a consistent vocabulary without extra effort.
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Changes in researcher responsibilities
Changing times | Collaboration | Data | In Conclusion Changes in researcher responsibilities Researchers still spend 25% of their time reading journal content
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Metrics for Institutes: Data Lighthouse
Changing times | Collaboration | Data | In Conclusion Metrics for Institutes: Data Lighthouse What? Service for Research Institutes (esp. librarians) to engage with researchers throughout the research data life cycle. How? Offer service for Librarians to interact with researchers regarding the RDM Process to: Offer solutions to store, share, link and publish data Monitor progress report on posting, citation, downloads of dataset Provide monthly reporting Research article published Initial inquiry Share, publish and link data Monitor progress and provide guidance Generate reports DATA LIGHTHOUSE
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Search, read, review and use published literature
Changing times | Collaboration | Data | In Conclusion Changes in researcher responsibilities Researchers still spend 25% of their time reading journal content SPEAKER TEACHER REVIEWER EDITOR AUTHOR (LAB) ANALYST COLLABORATOR FUND RAISER Funding Experiment Manage data Commercialize Have impact Analysis & synthesis Publish & disseminate Promote research Collaborate & network Search, read, review and use published literature
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