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1 Welcome Get your free subscription to the Library Connect Newsletter at
2 Librarians & altmetrics: Tools, tips and use cases February 20, 2014 Mike Taylor, Research Specialist, Elsevier Labs Mike's current areas of work include altmetrics, contributorship, research networks, the future of scholarly communications and other identity issues. He has worked in various capacities within the ORCID initiative. Jenny Delasalle, Freelance Consultant/Librarian Jenny's interests include bibliometrics and altmetrics, the changing landscape of scholarly communication, and how researchers can and do share and promote their research while also protecting their professional image. Jenny has worked in a number of academic library roles at various UK higher education institutions, including most recently at the University of Warwick, managing the library's support of researchers. Kristi Holmes, Bioinformaticist, Washington University in St. Louis (@kristiholmes) Kristi's professional interests include open science, support and training in genomic medicine, and understanding the impact of research efforts. She serves as the outreach lead for the research discovery platform VIVO and is a member of the ORCID Outreach Steering Group. #LCwebinar
3 Mike Taylor Altmetrics: a primer Research Specialist, Elsevier Labs mi.taylor@elsevier.com Where does the data come from? Can it be gamed? Buy in or build your own? #LCwebinar
4 What is the data? A set of altmetric data is about a common document and represents usage, recommendation, shares, reusage Identified by DOI, URL, shortened URL, other ID (e.g., arxiv, PubMed) It does not show common intent: a tweet is not the same as a Mendeley share is not the same as a Data Dryad data download is not the same as mass media coverage or a blog Altmetrics: a primer Mike Taylor
5 Various providers Altmetric.com Impactstory.org Plum Analytics PLOS / PLOS code Altmetrics is not Altmetric.com Each has strengths and weaknesses, no canonical source Altmetrics: a primer Mike Taylor
6 Different data have different characteristics Example from 13,500 papers: Highly tweeted stories focus on policy, gender, funding, contentious science issues, mostly summaries on Nature News Highly shared papers in Mendeley are hard core original research Different platforms have discipline bias Scholarly blogs both lead interest and respond Data from Altmetric.com Altmetrics: a primer Mike Taylor
7 Bringing together sources Altmetrics isn t one thing, so attempting to express it as one thing will fail We favour intelligent clusters of data: social activity, mass media, scholarly activity, scholarly comment, re-use Elsevier believes that more research is needed, and that best indicators are scholarly activity and scholarly comment Altmetrics: a primer Mike Taylor
8 Gaming / cheating If people take this data seriously, will they cheat? E.g., Brazilian citation scandal, strategies used by people to increase IF of journals Expertise in detecting fraudulent downloads (e.g., SSRN), self-tweeting when is normal corrupt? One thing to buy 1,000 tweets, another to buy 10 blogs, or mass media coverage Do those Twitter accounts have scholarly followers? Pattern analysis, usage analysis, network analysis Public data = public analysis = public response Altmetrics: a primer Mike Taylor
9 Other criticisms Biggest criticisms are when people try and conflate all the data into a single thing Easy point of attack tweets are all about sex drugs and rock n roll papers * Using clusters is more intelligible to academic community e.g., re-use, scholarly activity, scholarly comment (blogs, reviews, discussions) * this isn t true anyway Altmetrics: a primer Mike Taylor
10 Buy-in, or bake-your-own Buy-in: Altmetric.com and PLUM from Ebsco Free-to-use: Impactstory.org, platforms that use PLOS article-level-metrics code Bake-your-own: Impactstory.org, PLOS Or a root-and-branch build Altmetrics: a primer Mike Taylor
11 Topics covered Data sources Providers Different types of data, differences and similarities Criticisms, weaknesses and strategies Your next steps Altmetrics: a primer Mike Taylor
12 Jenny Delasalle Freelance Consultant/Librarian Altmetrics: why it's relevant to a librarian #LCwebinar
13 Consider the potential of altmetrics They are appearing in library subscription products consequences Should they appear in institutional repositories? How? Possibly use when considering crowd funding/citizen science projects Spaces to watch Altmetrics : why it's relevant to a librarian Jenny Delasalle
14 Appearing in library subscription & library recommended products 1. User education/ information skills/literacy 2. Appropriate use of data & tools by institution 3. Marketing and outreach potential? Altmetrics : why it's relevant to a librarian Jenny Delasalle
15 What the public sees Altmetrics : why it's relevant to a librarian Jenny Delasalle
16 Should they appear in institutional repositories? 1. A showcase: Bring a paper to life : track related discussions and materials 2. For authors & admin staff to see attention from newspapers, blogs, social media 3. Use by repository manager: collection development, depositor encouragement & proof of the IR s contribution Altmetrics : why it's relevant to a librarian Jenny Delasalle
17 Which article level measures in an IR? Pageviews, downloads, citations Saves on Mendeley, Delicious, CiteULike, etc. Shares through Twitter, Facebook, blog posts, Mendeley, etc. Choose a source & tool, e.g., Altmetric.com/Impactstory/Plum/PLOS Allow authors control? Altmetrics : why it's relevant to a librarian Jenny Delasalle
18 Plum Analytics: University of Pittsburgh Altmetrics : why it's relevant to a librarian Jenny Delasalle
19 Altmetrics: University of Warwick Altmetrics : why it's relevant to a librarian Jenny Delasalle
20 Impactstory & figshare Altmetrics : why it's relevant to a librarian Jenny Delasalle
21 Crowdsourcing/citizen science 1. Benefits of crowdsourcing include investment of cash, expertise or resource 2. It is both a means of engaging with the public, and also relies upon being successful at such engagement 3. By measuring interest in your research, you can consider whether there would be interest in participation/investment Altmetrics : why it's relevant to a librarian Jenny Delasalle
22 Spaces to watch 1. Kudos, growkudos.com helps authors and institutions maximize the impact and visibility of their publications (Also publishers & societies) 2. ORCID aggregates an individual s work: authors can use with impactstory.org : are they using it? 3. COUNTER compliant institutional repositories 4. Services (not only tools) that allow universities to use analytics to develop actionable insights on how to improve their research, student experience and efficiency, and effectiveness. Times HigherEd Altmetrics : why it's relevant to a librarian Jenny Delasalle
23 References & Further Reading Priem, Costello, Tyler (2012) Prevalence and use of Twitter among scholars The San Francisco Declaration on Research Assessment (DORA declaration), initiated by the American Society for Cell Biology (ASCB) - Konkiel, S (2013) Altmetrics in Institutional repositories, ASIS&T 2013, Montreal Altmetrics%20%26%20Libraries.pdf?sequence=1 Smith, D (2013) What is Kudos? An Interview with David Sommer, Co-Founder, Scholarly Kitchen blog - Brody et al (2009) Publisher and Institutional Repository Usage Statistics (PIRUS) final report - f Parr, C (2014) Bett show: four areas of technology that could transform universities, THE - Altmetrics : why it's relevant to a librarian Jenny Delasalle
24 Kristi Holmes Bioinformaticist Washington University in St. Louis Going beyond counts: understanding impact #LCwebinar
25 Translational Research The bench to the bedside and beyond Going beyond counts: understanding impact Kristi Holmes
26 Why do we need to think about research impact? Quantify and document research impact Justify future requests for funding Quantify return on research investment Discover how research findings are being used Identify similar research projects Identify possible collaborators Determine if research findings are duplicated, confirmed, corrected, improved or repudiated Determine if research findings were extended (different human populations, different animal models/species, etc.) Confirm that research findings were properly attributed/credited Demonstrate that research findings are resulting in meaningful health outcomes Discover community benefit as a result of research findings Progress reports Tenure Promotion dossiers Going beyond counts: understanding impact Kristi Holmes
27 How do we think about productivity? Don t knock publications Citations Rates and rankings Networks Dissemination patterns Collaboration Dissemination Grant funding Research trends Going beyond counts: understanding impact Kristi Holmes
28 but there s so much more! Going beyond counts: understanding impact Kristi Holmes
29 Research Impact It is no longer enough to measure what we can we need to measure what matters. So how do we measure what matters? Wells R, Whitworth A Assessing outcomes of health and medical research: do we measure what counts or count what we can measure? Australia and New Zealand Health Policy, 4:14 Going beyond counts: understanding impact Kristi Holmes
30 Going beyond the counts to find meaningful impact In everyone s CV, we ll find Reviews New funding awarded New types of funding mechanisms New research studies Invited lectures, new focus areas at conferences Membership on committees Awards Consider specific pathways* to uncover meaningful impact Advancement of Knowledge Clinical Implementation Legislation and Policy Enactment Economic Benefit Community Benefit *can be adapted to reflect any number of disciplines Going beyond counts: understanding impact Kristi Holmes
31 Going beyond the counts to find meaningful impact New diagnostic criteria New standard of care Curriculum guidelines Measurement instruments Continuing education materials Clinical/practice guidelines Quality measure guidelines Private healthcare benefit plans Cost-effective intervention Consensus development conferences American Medical Association Current Procedural Terminology (CPT) codes Change in delivery of healthcare services Going beyond counts: understanding impact Kristi Holmes
32 Slide title Going beyond counts: understanding impact Kristi Holmes
33 The Becker Model Provides a supplement to publication analysis to provide a more robust and comprehensive perspective of biomedical research impact. reporting templates, glossary of resources and terms, examples of relevant indicators of impact across the research process, and readings Straightforward framework for tracking diffusion of research outputs and activities to locate indicators that demonstrate evidence of biomedical research impact individual, core, and institutional-level; modify for different disciplines Guidance for quantifying and documenting research impact as well as resources for locating evidence of impact. Strategies for enhancing the impact of research Going beyond counts: understanding impact Kristi Holmes
34 Strategies for enhancing the impact of research Optimizing discoverability and access of your research is the surest way to enhance its visibility and impact. The strategies focus upon Preparing for Publication, Dissemination, and Keeping Track of Your Research. Repetition, consistency, and an awareness of the intended audience form the basis of most the strategies. Suggestions for researchers and recommendations to reach out to their library for assistance. Going beyond counts: understanding impact Kristi Holmes
35 Understanding the impact of a single paper can be challenging. How do we understand the impact of a person? A research center? A university? Going beyond counts: understanding impact Kristi Holmes
36 Research networking and discovery systems Enable more efficient means of collecting & representing meaningful outputs en masse Showcase achievements and expertise Facilitate diffusion of research products Support team-based science and collaboration Allow better understanding of the research enterprise Peer comparisons Strategic planning Emerging trends Going beyond counts: understanding impact Kristi Holmes
37 What is VIVO? 1. An open source semantic web application 2. An information model 3. An open community* * A big, welcoming OS community! Let us know if you have questions or need information, connections, or materials: Going beyond counts: understanding impact Kristi Holmes
38 Tying it all together Continue to represent typical profile information absolutely! Enhance profiles by incorporating meaningful outputs, as described by the Becker Model or other frameworks, to enhance their content and value Can facilitate the dissemination of scholarship and more Going beyond counts: understanding impact Kristi Holmes
39 Tying it all together /plumx-now-supports-vivo PlumX supports VIVO 1. Aggregate information about our researchers 2. Harvest research outputs from the profile 3. Plum s harvesting engine calculates metrics and provides both an analytics dashboard as well as visualizations. 4. Widgets can be embedded back into the VIVO profile! Going beyond counts: understanding impact Kristi Holmes
40 Tying it all together FigShare, lab notebooks, project outputs, SlideShare, etc. PlumX supports VIVO 1. Aggregate information about our researchers 2. Harvest research outputs from the profile 3. Plum s harvesting engine calculates metrics and provides both an analytics dashboard as well as visualizations. 4. Widgets can be embedded back into the VIVO profile! Going beyond counts: understanding impact Kristi Holmes
41 Acknowledgements Thanks: Cathy Sarli, MLS, AHIP Karen Gutzman NLM Fellow Jae Allen Washington University ICTS and WU ICTS Tracking & Evaluation Team Andrea Michalek at VIVO Becker Medical Library Funding: Washington University Institute of Clinical and Translational Sciences, NIH award UL1 RR VIVO - DuraSpace Going beyond counts: understanding impact Kristi Holmes
42 Questions & Thank You! Mike Taylor, Research Specialist, Elsevier Jenny Delasalle, Freelance Kristi Holmes, Bioinformaticist, Washington University in St. #LCwebinar
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