Altmetrics for Research Outputs Measurement and Scholarly Information Management
Altmetrics for Research Outputs Measurement and Scholarly Information Management
Dissemination is an important activity in the scholarly research lifecycle. Subsequently, tracking the impact of research outputs on new media sources has gained focus in the last few years. In this context, Altmetrics refers to novel metrics, often based on social media for measuring the impact of scholarly objects such as research papers, source code, or datasets. Altmetrics compliment traditional metrics, such as bibliometrics, by offering novel data points for gaining a more holistic understanding of the outreach of research outputs. This increased awareness could help researchers and organizations to gauge their performance and understand the outreach and impact of their research. Altmetrics is related to diverse research areas such as informetrics, social network analysis, scholarly communication, digital libraries, and information retrieval. This first workshop on Altmetrics for Research Outputs Measurement and Scholarly Information Management (AROSIM 2018) aims to address a range of opportunities, emerging tools and methods, along with other discussion topics in the fields of altmetrics, non-traditional metrics, and related areas. This workshop aims to gain a multi-disciplinary perspective on this new and cutting-edge research area.
Workshop Theme: "The best of both worlds: cross-metric exploration and validation of Altmetrics and Bibliometrics".
The main objective of the AROSIM 2018 workshop is to create a forum to disseminate the latest works on altmetrics for measuring research impact and scholarly information management. The workshop will investigate how social media based metrics along with traditional and non-traditional metrics can advance the state-of-the-art in measuring research outputs.
The goals of the workshop are:
- To promote the exchange of ideas and encourage potential collaborations amongst scholars from both computer science and information science disciplines, as well as with librarians and industry;
- To investigate challenges and explore solutions for cross-metric exploration and validation, while considering disciplinary differences related to measuring research outputs;
- To showcase innovative altmetric tools, methods, and datasets; and
- To provide a discussion platform for the academic communities, librarians, policy makers, publishers, as well as grant funding agencies.
We hope this workshop will help to inspire new research ideas as well as encourage future collaborations amongst the different disciplines and industry stakeholders.
We invite novel, unpublished submissions on topics including - but not limited to:
- Altmetrics, informetrics, scientometrics, webometrics
- Non-traditional metrics
- Article-level metrics
- Traditional bibliometric approaches and metrics
- Scholarly information management
- Design of Altmetrics systems and tools
- Tools and methods for cross-metric validation and visualization
- Altmetrics data modelling and datasets
- Bibliometrics/Altmetrics-based information retrieval and recommender systems
- Altmetrics-related information analysis
- Models and theories of scholarly communication
- Social network analysis of scholarly communication
- Impact metrics for diverse research outputs, e.g., source code, research datasets
- Altmetrics for university/school libraries
- Advances in digital repositories
- Altmetrics and digital libraries
- Altmetrics and big scholarly data
- Critical discussions on (alt)metrics and research evaluation
- Perspectives from policy makers, grant funding agencies, libraries, and publishers
|Key Events/ Deadlines||Key Dates|
|Submission Deadline||25th October 2017|
|Registration Opens||25th September 2017|
|Notification Date||20th November 2017|
|Final Version (Camera Ready) Submission Date||15th December 2017|
|Workshop Date||26th January 2018|
|Early bird registration closes||24th November 2017|
All papers will be peer reviewed (double-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. It is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series (final approval pending). All submissions must be formatted according to the latest Springer CCIS template available at http://www.springer.com/series/7899. Please submit your papers in PDF format (maximum of 10 pages; exclusive of unlimited pages for references and appendices).
Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English.
Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person.
The link to the paper submission system - https://ocs.springer.com/ocs/home/AROSIM2018.
CFP flyer of the AROSIM 2018 workshop can be downloaded from this link
Best Paper Award
A Best Paper Award, sponsored by Altmetric, will be given to the author(s) of the most outstanding work.
The AROSIM Travel Grant Program provides small grants to students and researchers to help cover the cost of travel, lodging and registration to the AROSIM workshop. Applicants must be authors of the paper(s) submitted to the workshop. We intend to maximize the number of applicants whom we could help. Hence, the grant amount will not cover the full cost of travel.
If you wish to apply for the travel grant, please provide your information in this form.
The registration for the workshop is now open. Registration can be done at this link.
Registration is 60 SGD per participant.
Early bird rates are 40 SGD per participant.
Student's rates are 30 SGD per student.
Payment details will be forwarded to you per email after registration.
Mike Thelwall leads the Statistical Cybermetrics Research Group at the University of Wolverhampton, UK. He has developed and evaluated free software and methods for systematically gathering and analysing altmetric and webometric data, including for Mendeley, Twitter, Google Books, and the general web. He conducts evaluation exercises for large organisations using web data, including for the United Nations and the European Commission. He has co-authored hundreds of refereed journal articles about altmetrics and webometrics and his most recent book is “Web indicators for research evaluation : A practical guide”. www.scit.wlv.ac.uk
Stacy Konkiel is the Director of Research & Education at Altmetric, a data science company that uncovers the attention that research receives online. Her research interests include incentives systems in academia and informetrics. Stacy has written and presented widely about altmetrics, Open Science, and library services. Previously, Stacy worked with teams at Impactstory, Indiana University and PLOS.
- Yin-Leng Theng, Centre of Healthy and Sustainable Cities (CHESS), Wee Kim Wee School of Communication and Information (WKWSCI), Nanyang Technological University, Singapore
- Edie Rasmussen, University of British Columbia, Vancouver, Canada
- Yonggang Wen, School of Computer Science and Engineering, Nanyang Technological University, Singapore
- Robert, Jäschke, Information School, The University of Sheffield, UK
- Isabella Peters, Web Science, ZBW Leibniz Information Center for Economics and Christian Albrechts University Kiel, Germany
- Yew Boon Chia, Humanities and Social Sciences Library, Nanyang Technological University, Singapore
- Samantha Ang, Lee Wee Nam Library, Nanyang Technological University, Singapore
- Mojisola Erdt, Centre of Healthy and Sustainable Cities (CHESS), Wee Kim Wee School of Communication and Information (WKWSCI), Nanyang Technological University, Singapore
- Aravind Sesagiri Raamkumar, Centre of Healthy and Sustainable Cities (CHESS), Wee Kim Wee School of Communication and Information (WKWSCI), Nanyang Technological University, Singapore
Workshop Program Committee
- Anup Kumar Das, Jawaharlal Nehru University, India
- Aparna Basu, South Asian University, India
- Ehsan Mohammadi, University of South Carolina, USA
- Hamed Alhoori, Northern Illinois University, USA
- Joanna Sin, Nanyang Technological University, Singapore
- Juan Gorraiz, University of Vienna, Austria
- Juan Pablo Alperin, Simon Fraser University, Canada
- Judit Bar-Ilan, Bar-Ilan University, Israel
- Kazunari Sugiyama, National University of Singapore, Singapore
- Kim Holmberg, University of Turku, Finland
- Kuang-hua Chen, National Taiwan University, Taiwan
- Li Xuemei, York University, Canada
- Lutz Bornmann, Max Planck Society, Germany
- Michael Khor, Nanyang Technological University, Singapore
- Mike Taylor, Digital Science, UK
- Mike Thelwall, University of Wolverhampton, UK
- Paul Groth, Elsevier Labs, USA
- Paul Wouters, CWTS, Leiden University, Netherlands
- Philipp Mayr-Schlegel, GESIS - Leibniz Institute for the Social Sciences, Germany
- Rich Ling, Nanyang Technological University, Singapore
- Schubert Foo, Nanyang Technological University, Singapore
- Shima Moradi, National Research Institute for Science Policy, Iran
- Stefanie Haustein, University of Montreal, Canada
- Sun Aixin, Nanyang Technological University, Singapore
- Sybille Hinze, DZHW GmbH, Germany
- Tim Evans, Imperial College London, UK
- Victoria Uren, Aston University, UK
- Vincent Larivière, Université de Montréal
- Winson Peng, Michigan State University, USA
- Xiao Xiaokui, Nanyang Technological University, Singapore
- Xin Shuai, Indiana University Bloomington, USA
- Ying-Hsang Liu, Charles Sturt University, Australia
Please mail Moji (Mojisola.Erdt@ntu.edu.sg) and Aravind (firstname.lastname@example.org) for any workshop related enquiries.
- Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2010). Altmetrics: A manifesto.
- Erdt, M., Nagarajan, A., Sin, S. C. J., & Theng, Y. L. (2016). Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media. Scientometrics, 109(2), 1117-1166.
The AROSIM workshop is being conducted as a part of our Altmetrics research. This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its Science of Research, Innovation and Enterprise programme (SRIE Award No. NRF2014-NRF-SRIE001-019). Any opinions, findings, conclusions and/or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Research Foundation Singapore.