Besplatni webinar: Research Data Metrics Landscape: An update from the NISO Altmetrics Working Group B: Output Types & Identifiers
Datum i vrijeme održavanja: Monday, November 16 from 11:00 a.m. – 1:00 p.m. (ET)
In June 2013, the Alfred P. Sloan Foundation awarded NISO a grant to undertake a two-phase initiative to explore, identify, and advance standards and/or best practices related to a new suite of potential metrics in the community.The NISO Altmetrics Project has successfully moved to Phase Two, the formation of three working groups, A, B, & C. Working Group B, led by Kristi Holmes, PhD, Director, Galter Health Sciences Library at Northwestern University, and Mike Taylor, Senior Product Manager, Informetrics at Elsevier, is focused on the Output Types & Identifiers within the alternative metrics landscape.
Speakers will highlight examples of the work being done in this area.
Agenda & Event Slides
11:00 a.m. Introduction
Todd Carpenter, Executive Director, NISO
11:10 a.m. Brief background on Working Group B: Output Types & Identifiers
Kristi Holmes, PhD, Director, Galter Health Sciences Library, Northwestern University
Mike Taylor, Senior Product Manager, Informetrics, Elsevier
Session I: Persistent Identifiers 11:15 a.m. – 12:15 p.m.
Peter McQuilton, Ph.D., Knowledge Engineer/Senior Research Associate, Oxford e-Research Centre, University Of Oxford; Philippe Rocca-Serra, Ph.D., Technical Project Leader, Oxford e-Research Centre, University Of Oxford
Dr. McQuilton is the content lead for the BioSharing project ( https://www.biosharing.org), a web-based catalogue of biological data standards, databases and policies. His activities are in and around data curation, text-mining, ontology design, data sharing and publication in the life, natural and biomedical sciences.
Philippe Rocca-Serra, after an engineering degree from University of Rennes, received his PhD in Molecular Genetics from University of Bordeaux. He worked at EMBL-EBI in the helping establishing the european microarray archive. He has 10 years of practice in data management and has been an active member of several standardization efforts, aiming at promoting open data and open science vision. He is technical coordinator of the ISA project, part of the OBO Foundry editorial board and participates to resource development as part of the OBI project.
Tom Demeranville, THOR Senior Project Officer & ORCiD Software Engineer
Tom investigates and develops links with other identifier systems as part of the EC-funded THOR project. Tom has a long history of working with software in the academic sector. Before joining ORCID he was employed by the British Library as a Technical Lead on the ODIN project and prior to that he was a Senior Software Engineer working on federated identity at Eduserv.
Data-Level Metrics with DataCite
Martin Fenner, Technical Director, DataCite
In the NSF-funded Making Data Count project we identified download stats and citations as the metrics that researchers are primarily interested in. In the project DataONE collected usage stats according to the COUNTER standard for about 150k datasets, and we collected data citations for these datasets from a number of sources. Together with CrossRef DataCite is now scaling this activity to track citation events for all datasets registered with DataCite, and we are collaborating with other organizations in the collection, distribution and display of these citation links.
Martin Fenner is the DataCite Technical Director. From 2012 to 2015 he was technical lead for the PLOS Article-Level Metrics project. Martin has a medical degree from the Free University of Berlin and is a Board-certified medical oncologist.
Moderated by Kristi Holmes, PhD, Director, Galter Health Sciences Library, Northwestern University and Mike Taylor, Senior Product Manager, Informetrics, Elsevier
Attendees are invited to ask any questions related to persistent identifiers.
Session II: Metrics 12:15 p.m. – 1:00 p.m.
Bibliometrics for Data – what counts and what doesn’t?
Dr. Sarah Callaghan, Senior Researcher and Project Manager, British Atmospheric Data Centre
The outputs of scholarly research are no longer limited to published outputs such as books and journal articles – data, software and workflows are increasingly acknowledged as part of the research process that should be disseminated along with the results and conclusions drawn from research. Obviously, the creators of these “non-traditional” outputs should be rewarded for their efforts in making them available, and there should be ways of measuring the impact of these outputs both in their field, and in the wider scientific and general communities. This talk will focus on data, and will outline the complications that data have with regards to traditional bibliometrics.
Dr. Sarah Callaghan is a senior researcher and project manager within the British Atmospheric Data Centre, with interests in data management, data citation and publication, open data and the space time variability of rain fields. She is co-chair of the Research Data Alliance’s working group on Bibliometrics for data, part of the Publishing Data Interest Group, co-chair of the CODATA-ICSTI Task Group on Data Citation and a member of the Force11 data citation group which proposed the highly influential Joint Declaration of Data Citation Principles.
FORCE 11 Attribution: Getting (and giving) credit for all that we do
Dr. Melissa Haendel, Associate Professor, Ontology Development Group, OHSU Library, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University
Current metrics for scholarly output rely heavily on those things which are easy to count, such as papers, grant dollars, and patents. With altmetrics taking hold, new opportunities are emerging to understand broader societal impact of scholarship. However, many of these measures don’t track the specific products that someone creates, nor their specific participation in various scholarly activities. This limits an understanding of personal impact and value in the scholarly ecosystem and has negative consequences for funding, career progression, and program planning. Further, there is a need to understand downstream outcomes that leverage prior contributions. This presentation will discuss approaches for attribution of non-traditional scholarly products and their relationship to people, organizations, and more traditional scholarly works.
Dr. Melissa Haendel is an Associate Professor at the Oregon Health & Science University Library and Dept. of Medical Informatics and Epidemiology, where she leads a research group in semantic engineering and the Monarch Initiative, which aims to make available a large scale integrated data set for disease discovery. Her PhD and postdoctoral work is in neuroscience, focusing on early development and cell biology. Later she joined the Zebrafish model organism database, where she became interested in data integration and semantic engineering in support of disease discovery. She participates in the development of a number of data standards in support of biomedical data sharing, reuse, and collaboration, as well as efforts to support scientific reproducibility and new modes of attribution. Melissa tweets at @ontowonka.