Isabelle Reiss - Interoperability, visibility, credibility
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The document discusses the concepts of interoperability, visibility, and credibility in relation to databases and publication platforms, emphasizing the importance of data exchange, clear processes, expert indexation, and transparency for trustworthiness. It outlines upcoming changes to the Web of Science that aim to enhance open access identification and institutional analytics. Additionally, it poses critical questions about data curation, search result transparency, and the potential downsides of excessive interoperability.
Isabelle Reiss - Interoperability, visibility, credibility
- 1. Interoperability, visibility, credibility Isabelle Reiss Head of Consortia Development Clarivate Analytics [email protected]
- 3. 3 Interoperability, visibility, credibility Interoperability : the extent to which systems and devices can exchange data, and interpret that shared data • A platform that hosts different databases to make them interact by way of the Citation Connexion Network. • A Plug-in that both memorizes your Subscription entitlements/credentials and searches for additional Open Access documents, resolving the link directly from the Web of Science, in one click, to deliver full-text within the same environment. • An OA platform where reviewers would make their work visible, where publishers could feed the completed reviews automatically from their Journal Management System and this platform would also feed ORCID´s profiles. SciELO Citation Index Kopernio Publons
- 4. 4 Visibility not only of the whole database, which would be by means of its distribution/commercialization, but visibility of each record if searched for By means of • An expert and rigorous indexation • Availability of filters to empower each data field • Permanent Curation, Disambiguation, Unification to improve consistency of results Visibility: the state of being able to see or be seen a. The capability of being easily observed b. The capability of providing a clear, unobstructed view Interoperability, visibility, credibility
- 5. 5 • The curation, disambiguation, unification mentioned before will help gain on credibility. • An other important factor for credibility is probably the clarity of processes Which data has been harvested and how? What were the selection criteria? And importantly enough, what were the de-selection criteria? How are results displayed – what is the hierarchy ? Interoperability, visibility, credibility Credibility: the quality of being believable or worthy of trust
- 6. 6 Q4 2018- Q1 2019: Select databases from the All Databases search page Target your search by selecting the databases of interest to you for maximum control and efficiency.
- 7. 7 Coming Soon: Expanded Open Access Identification for analytics & assessment To support assessment use cases, Web of Science will be making three changes to how we handle Open Access versions of articles: 1. More granular Gold and Bronze classification will help you better understand the Open Access landscape. 2. Metadata for ALL identified OA versions for a given article, rather than just one, will help you measure the success of your institutional policies. 3. Preprints will be included to help you see the full picture of available OA content. Available Q4 2018 Does posting a preprint positively or negatively effect impact of the published version? Has my institution’s policy on self-archiving been successful? How is my portfolio of full Gold Journals performing? Upcoming changes to Open Access in the Web of Science will help you understand: Current Coming soon Pub Year=2017 Pub Year=2018
- 8. 8 Improve your institutional systems with trustworthy publications data APIs | Custom Data Delivery | VIVO Services Easy data integration into More information about available services Are you confident that your strategic decisions are based on the best available data?
- 9. 9 News about old IF - citation repartition graph - citable items displayed - 5 other measures
- 10. 10 Scielo Citation Index on the Web of Science Our citation network includes Chinese database Integration with ORCID /Researcher Id / EndNote 660K records from 14 collections since 2002
- 11. 11 Interoperability, Visibility, Credibility More Transparency • Transparent database structures that enable interoperability and control • Transparent display hierarchies that ensure visibility thanks to multiple filtering options • Transparent harvesting workflows and selection/de-selection criteria and to maintain credibility
- 12. 12Some questions If transparency of criteria is necessary to gain credibility. o why do I see these results rather than others in the first page? o is it because of my search history/ my language, my profile, my location? o is it because of others‘ history? Popular searches? Trend topics? If curation is necessary to gain credibility and also to let room for visibility of each and all items o after how many pages of results do I only find duplicate results? o Is duplication due to slightly different indexation of the same record or same indexation of a slightly different record? And if I look at aggregated data, or statistics and ratios based on aggregated data, o can I go back to the source? o can these results be recalculated for control? o What are the analytical capabilities of the database? What are the indicators that I´ll want to see? To finish, a question about interoperability: o can there be an excess of it? This would be a closed integration, where systems which used to run independently are integrated into the same operating workflow. Then this integration into a suite of products would make them unable to work without one another. This would lead to a lock up of the user into one sole environment and one sole vendor.
Editor's Notes
- #3: NOTE: THIS SLIDE HAS ANIMATION THAT RUNS AUTOMATICALLY. At the end of 2017, Annette Thomas came on board to direct the Scientific & Academic Research business within Clarivate. We are currently at the beginning stages of redefining a new, strategic approach to the market, which involves both how we roll out product developments AND how we operate as a business. We have the ambition to dramatically improve: the way in which researchers undertake their daily work the way their work is assessed and the way that their scholarly reputations are managed In terms of how we are changing the way we operate, it’s “back to the future”-- we are re-launching ISI. For 50 years ISI was the key source of research and product development in the world of scientometrics. It was the place where cutting edge and responsible research metrics were first pioneered. It not only led the market – it created and then shaped the market – and in turn our Web of Science product. New ISI is all about openness – it will be focused on: the development of existing and new bibliometric and analytical approaches continued editorial excellence fostering collaborations with partners and customers across the research community
- #7: Based on many requests over the years from customers wanting to search a selection of databases in their subscription, as opposed to everything. Use cases: Biomedical: Search WoS Core + Biosis + Medline (+ CABI) Engineering: Search WoS Core + DII (+ Inspec) Anyone: Search WoS Core + DCI to find both papers and data on your topic
- #8: What’s next for Open Access in the Web of Science? Currently, Open Access in WoS is designed to support discovery– to point you to the best available version of freely available, legal full text. We only provide metadata about that best available version, even in cases where we know that multiple versions exist. What this means is that the data does not support measuring, for example, the amount of content available in institutional repositories– because WoS is only showing the publisher version, even when a copy exists in an IR as well. To support this type of assessment, Web of Science will be making three changes to how we handle Open Access versions of articles: We will break the existing “Gold and Bronze” categorization down into three subcategories: DOAJ Gold, Other Gold (e.g. Hybrid), and Bronze). This will help you distinguish between what is free under a true OA license, versus what a publisher has simply made available for free on their website. To support the IR use case, we will store ALL identified OA versions for an article rather than just one. We will still link to the “best” available version (e.g. the publisher version when available). Based on customer feedback, we will begin recording Green Submitted Versions (e.g. preprints) and provide clearly labeled links. Customers will have the option to turn off these links if they prefer to only show peer-reviewed versions. Definitions DOAJ Gold: Articles in Fully Gold Journals as defined by DOAJ Other Gold: Articles identified by Impactstory as having a Creative Commons (CC) license that are not in DOAJ journals. Majority are Hybrid. Bronze: Free-to-read/Public Access articles on the publisher site that Impactstory identified as having a non-CC or unclear license. Includes both promotional and post-embargoed (open archive) items Green Published: Final published version hosted on a repository (e.g. Pubmed Central) Green Accepted: Accepted manuscript hosted on a repository (e.g. Author posted to IR). Final content, but not typeset. Green Submitted = PREPRINT: Submitted manuscript hosted on a repository. Not yet peer-reviewed (e.g. a preprint on the Arxiv)
- #9: Web of Science data have been used in major research evaluation projects for decades. You can add publications to your current dashboards, or enrich existing information with high-quality metadata, links, and citation metrics. Industry leading article metadata Times Cited counts, and additional citation metrics
- #14: THANK YOU!