Make Data Count: Measuring Data Use and Reach (NSF), April 14, 9:00 AM Pacific
Registration is now open for the third event in the DataONE Webinar Series (www.dataone.org/webinars) focused on open science, the role of the data lifecycle, and achieving innovative science through shared data and ground-breaking tools. There will be a panel presentation by Jennifer Lin, Martin Fenner, Matt Jones & John Kratz from the Public Library of Science, DataONE and the California Digital Library. The webinar is focused on the outcome of a recent collaborative NSF grant and is titled: “Make Data Count: Measuring Data Use and Reach”. Register at: www.dataone.org/upcoming-webinar. (Free.)
Abstract: California Digital Libraries, PLOS, and DataONE are partners in Make Data Count (http://articlemetrics.github.io/MDC/), an NSF-funded project to design and develop metrics that track and measure data use, i.e. “data-level metrics” (DLMs). DLMs are a multi-dimensional suite of indicators, measuring the broad range of activity surrounding the reach and use of data as a research output. In the webinar, we will discuss the findings from Phase 1 in which we gathered information about the needs of researchers– how do they want to get credit for the data they produce? What do they want to know about how their data is used? What do they want to know about others’ data to evaluate quality? We connected with the community to determine requirements and understand use cases for the data-level metrics prototype. We will also demo the latest from our working prototype and share the initial results (usage, citations, scholarly references and mentions, social media, etc.) collected on datasets from DataONE member repositories. This webinar will be recorded and made available for viewing later the same day. A Q&A forum will also be available to attendees and later viewers alike. More information on the DataONE WebinarSeries can be found at: www.dataone.org/webinars.
The Diversity of Data Management: Practical Approaches for Health Sciences Librarianship (MLA), April 22, 11:00 AM to 12:30 PM Pacific
This webcast is designed to provide health sciences librarians with an introduction to data management, including use of data in the research landscape and the current climate around data management in biomedical research. Three librarians working with data management at their institutions will present case studies and examples of products and services they have implemented, and provide strategies and success stories about what has worked to get data management services up and running at their libraries. Presenters are Lisa Federer, Kevin Read, and Jackie Wirz. For more information see: https://www.mlanet.org/professional-development-education-online-learning/diversity-data-management-practical-approaches (Free at host site. Costs vary.)
A free viewing of this webinar will be hosted at the University of Washington Health Sciences Library, Library Teaching Laboratory (LTL) on Wednesday, April 22, 2015, 11:00 AM to 12:30 PM Pacific.
NN/LM PNR Network members may apply for funding to broadcast this webinar at their site. Please let us (NNLM/PNR firstname.lastname@example.org) know by Monday, April 13, 2015 if you would like to apply to host this webinar at your library.
Privacy Principles for the Age of Big Health Data (CDT), April 23, 10:00 AM -11:00 AM Pacific
Data-driven and information-based systems have quickly become the new paradigm for American health care. Health care providers, insurers, pharmaceutical companies, academics, government entities, and also many non-traditional entrants – including patients and consumers of health “wearables” – are applying advanced analytics to large and disparate data sets to gain valuable insights on treatment, safety, efficiency, and public and personal health. These developments offer a wealth of opportunities to increase wellness, but raise serious privacy and security questions. To explore these implications, and to develop concrete proposals for leveraging health big data to benefit individuals and society while respecting individual privacy, CDT has joined with stakeholders and experts to examine these issues from three different perspectives: clinical and administrative data generated by health care providers and payers; health data in commercial context, such as that contributed by consumers using the Internet and other consumer-facing technologies; and health data collected by federal, state, and local governments. CDT’s Deputy Director of Consumer Privacy Project, Michelle DeMooy and Gautam Hans, Policy Counsel and Director of CDT’s San Francisco office, will provide an overview of those findings and recommendations. Speakers: Michelle De Mooy, Deputy Director of Consumer Privacy Project, CDT and Gautam Hans, Deputy Director of Consumer Privacy Project, CDT. Register at: http://www.healthdataconsortium.org/programs-webinars (Free.)