SEA Data Science
Are you struggling to find a simple definition for key data terminologies? Wondering where to find resources and relevant literature regarding data vocabularies? Look no further! The Network of the National Library of Medicine’s Data Thesaurus provides key tools for data-driven exploration.
The Data Thesaurus is a resource connecting and defining concepts, services, and tools relevant to librarians working in data-driven discovery. A definition, relevant literature, and web resources accompany each term along with links to related terms. Users can search or browse the 70 different terms.
Launched in 2013, the original data thesaurus has undergone updates and transformations. As the world of data evolves, so too does the thesaurus. In fact, over the past year, a group of dedicated librarians from across the country have come together to serve on the NNLM Data Thesaurus Advisory Group. Members of the Advisory Group are working on evaluating and updating the current thesaurus with new resources, terms, and definitions. As you explore the thesaurus, please share your feedback! Do you see missing terms? Broken links? General feedback? We’re open to hearing it all!
We hope the Data Thesaurus proves to be a useful resource for you and your stakeholders!
The post NNLM’s Data Thesaurus Provides Key Tools for Data-Driven Exploration first appeared on SEA Currents.
The University of Maryland, Baltimore is hosting an online Library Carpentry workshop from noon – 4 pm, November 3rd – 6th.
Library Carpentry focuses on building software and data skills within library and information-related communities. Their hands-on, approachable workshops empower people in a variety of roles to use software and data in their own work and support effective, efficient, reproducible practices.
This opportunity is FREE for SEA members, and eligible for 20 MLA CEs. Seats are limited.
The post Online Library Carpentry: Seats available November 3-6! first appeared on SEA Currents.
Description: Many of us work in environments filled with “data-driven” decision-making and regular reporting of data to justify our budgets and planning. Data Visualization can be a powerful tool for telling our story and presenting the facts on the ground, but how can we make ethically informed decisions when visualizing our data? This talk will discuss different ethical frameworks and how they can inform the decisions we make in data visualization. We aim to go beyond discussion of avoiding misleading charts and into the ethical decision-making frameworks that inform how to present our data.
This is part of the Research Data Management Webinar Series.
Nicole Contaxis, MLIS is the Project Lead for the NYU Data Catalog at the NYU Health Sciences Library. Nicole develops the vision and strategy for the future of the NYU Data Catalog, including software development, curation, and partnerships with allied departments at the institutions. She leads NYU’s participation in the Data Discovery Collaboration, a national effort to improve institutional data discovery. Her areas of interest include data sharing, data ethics, and community engagement. Nicole is a former National Digital Stewardship Resident at the National Library of Medicine. She received her MLIS from UCLA and is currently working on her M.A. in Bioethics at NYU.
Fred LaPolla, MLS is a Research and Data Librarian and Lead of Data Education at NYU Health Sciences Library. He works with the library’s Data Services team and serves as liaison to the Departments of General Internal Medicine and Clinical Innovation (DGIMCI) and Radiology. Fred also teaches Rigor and Reproducibility and R Programming in the Grossman School of Medicine Sackler Institute of Graduate Biomedical Sciences. He is passionate about professional education and finding ways to facilitate learning around data collection, management, visualization and analysis. Fred holds a Masters of Library Science (MLS) from Queens College, CUNY.
When: October 22nd, 2020 | 11 AM PT/ 12 PM MT/ 1 PM CT/ 2 PM ET
The post The Charts are Off: Approaches to Ethical Decision-Making in Data Visualization first appeared on SEA Currents.
Description: Learn about upcoming opportunities to participate in online Library Carpentry workshops in an informational session hosted by members of the Library Carpentry community, and The Carpentries Executive Director, Dr. Kari L. Jordan.
Do you want to…
– manipulate, transform, and analyze data?
– make data driven decisions?
– automate repetitive tasks?
– support open research and data scholarship?
Library Carpentry focuses on building software and data skills within library and information-related communities to support these and other participant goals. Their goal is to empower people in these roles to use software and data in their own work and to become advocates for and train others in efficient, effective and reproducible data and software practices.
This fall and winter, NNLM will host 5 online Library Carpentry workshops for participants from NNLM member institutions. The target audience is learners who have little to no prior computational experience. In addition to participating in Library Carpentry workshops, NNLM members will also have the opportunity to receive training to become instructors for Library Carpentry.
When: October 8, 2020 | 11 AM PT/12 PM MT/1 PM CT/2 PM ET
Description: Extractive and unethical research practices led to the accumulation of Indigenous collections in vast national repositories that have missing, incomplete, and impoverished records and metadata. These problems of inequity continue in the ways Indigenous Peoples’ data is created, stored, accessed, and used. Indigenous Peoples insist on the urgent need to integrate Indigenous knowledges and approaches into data and collections practices and policies. The articulation of Indigenous Peoples’ rights and interests in data about their peoples, communities, cultures, and territories is directed towards reclaiming control of data, data ecosystems, and data narratives in the context of open data and open science. The people and purpose-oriented CARE Principles (Collective Benefit, Authority to Control, Responsibility, and Ethics) reflect the crucial role of data in advancing innovation, governance, and self-determination among Indigenous Peoples. The CARE Principles complement and extend the more data-centric approach of the FAIR Principles (Findable, Accessible, Interoperable, and Reusable). This webinar will focus on the CARE Principles and identify practical tools for implementing the CARE Principles alongside the FAIR Principles in the context of the open science and open data environments.
This is part of the Research Data Management Webinar Series.
Presenter: Stephanie Russo Carroll (Ahtna-Native Village of Kluti Kaah) is Assistant Research Professor, Udall Center for Studies in Public Policy (UC); Associate Director and Manager – Tribal Health Program, the Native Nations Institute (NNI) in the UC; Assistant Professor in the Public Health Policy and Management Program at the Community, Environment and Policy Department, Mel and Enid Zuckerman College of Public Health (MEZCOPH); Assistant Professor, American Indian Studies Graduate Interdisciplinary Program; and Co-Director, Center for Indigenous Environmental Health Research, MEZCOHP at the University of Arizona (UA).
Stephanie’s research explores the links between Indigenous governance, data, the environment, and community wellness. Her interdisciplinary lab group, the Collaboratory for Indigenous Data Governance Research, develops research, policy, and practice innovations for Indigenous data sovereignty. Indigenous data sovereignty draws on the UN Declaration on the Rights of Indigenous Peoples that reaffirms the rights of Indigenous nations to control data about their peoples, lands, and resources. The lab’s research, teaching, and engagement seek to transform institutional governance and ethics for Indigenous control of Indigenous data, particularly within open science, open data, and big data contexts. The lab primarily collaborates with Indigenous Peoples and nations in the US Southwest and the Arctic, as well an international network of Indigenous data sovereignty and governance experts. Lab members also often partner with communities to which they belong, including Indigenous communities. (https://nni.arizona.edu/people/staff/stephanie-carroll-rainie(link is external))
When: September 24th, 2020 | 11 PT/12 MT/1 CT/2 ET
The post Operationalizing the CARE Principles for Indigenous Data Governance in Research Data Management first appeared on SEA Currents.