Where's the Data?

This document summarizes Sherry Lake's presentation on re-tooling libraries to support data management. Some key points: - The University of Virginia restructured its research support model in 2010 to focus on data management and created the Scientific Data Consulting Group. - Other models discussed include groups at Purdue, Johns Hopkins, Cornell, Wisconsin, and Rutgers that provide data management consulting and services. - Re-skilling existing staff involves training librarians through courses, workshops, and data interviews to build expertise in areas like data formats, metadata, and data management plans. - Multiple areas of competency are important for supporting research data, including information science, computer science, domain expertise, management

This presentation was provided by Diana Brooking of the University of Washington during the 11th Annual NISO-BISG Forum, Delivering the Integrated Information Experience, on June 23, 2017 and held at the ALA Annual Conference.

This presentation was provided by Julie Goldman of Harvard University, during part two of the NISO two-part webinar "Building Data Science Skills: Strategic Support for the Work, Part Two," which was held on March 18, 2020.

The document summarizes the role and challenges of research data management (RDM) information professionals from the perspective of a library practitioner. It discusses how RDM professionals educate researchers on topics like data management planning and repositories, consult on issues like workflows and publishing, and curate data to ensure findability, understandability and reuse. However, navigating relationships with different university offices, building shared understanding of technical concepts, and managing expectations with limited resources present challenges. Key principles for RDM professionals include keeping researchers central, considering future data re-users, and contributing to communities of practice. Ongoing gaps include supporting restricted and large data as well as developing actionable policies and training new professionals.

February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth Learning to Curate Research Data Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library

This presentation was provided by Courtney R. Butler of The Federal Reserve Bank - Kansas City, during part two of the NISO two-part webinar "Building Data Science Skills: Strategic Support for the Work, Part Two," which was held on March 18, 2020.

February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth Network Effects: RMap Project Sheila M. Morrissey, Senior Researcher, ITHAKA

This presentation was provided by Ken Varnum of the University of Michigan during a NISO webinar, Tracing Discovery and Subsequent Use, held on Wednesday, Dec. 6, 2017.

Feb 26 NISO Training Thursday Crafting a Scientific Data Management Plan About the Training Addressing a data management plan for the first time can be an intimidating exercise. Join NISO for a hands-on workshop that will guide you through the elements of creating a data management plan, including gathering necessary information, identifying needed resources, and navigating potential pitfalls. Participants explore the important components of a data management plan and critique excerpts of sample plans provided by the instructors. This session is meant to be a guided, step-by-step session that will follow the February 18 NISO Virtual Conference, Scientific Data Management: Caring for Your Institution and its Intellectual Wealth. About the Instructors Kiyomi D. Deards, MSLIS, Assistant Professor, University of Nebraska-Lincoln Libraries Jennifer Thoegersen, Data Curation Librarian, University of Nebraska-Lincoln Libraries

This presentation was provided by Nathan Putnam of OCLC during the NISO Training Thursday webinar, Metadata and the IR, held on Feb 23, 2017.

February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth Improving Integrity, Transparency, and Reproducibility Through Connection of the Scholarly Workflow Andrew Sallans, Partnerships, Collaborations, and Funding, Center for Open Science

The document summarizes a research project conducted by the Cataloging and Metadata Services unit at Utah State University to analyze user search behavior and the performance of MARC records in search results. The project involved analyzing web logs of searches, scraping search results pages, and coding records and fields in Airtable. Key findings included that MARC records make up around 20% of search results on average, vendor records appear more often than locally created records, and the 245 and 505 fields were most important for retrieving records while the 505, 520 and 650 fields had the greatest impact if missing from records. Guidelines for cataloging practice were proposed based on the findings.

This talk was provided by Brian Lowe of Ontocale SRL during the NISO Virtual Conference, Using Open Source in Your Institution, held on February 17, 2016

Overview and status of the NIH BD2K DataMed metadata model: https://biocaddie.org/group/working-group/working-group-3-descriptive-metadata-datasets

February 18 2014 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth Capacity Building: Leveraging existing library networks to take on research data Heidi Imker, Director of the Research Data Service, University of Illinois at Urbana-Champaign

This presentation was provided by Lisa Johnston, University of Minnesota, for a NISO Virtual Conference on data curation held on Wednesday, August 31, 2016

Presented at the 15th International ISKO (International Society for Knowledge Organization) Conference, Porto, Portugal.

This document provides an introduction to research data management for humanities and social sciences librarians. It discusses why data management is an important part of a librarian's role in supporting faculty research, and some key concepts in data management including data formats, storage, security, preservation, and sharing. The document emphasizes that while librarians do not need to be data experts, having a basic understanding of data management concepts can help librarians better serve faculty research needs and expand their role on campus.

This document discusses best practices for creating and managing research data. It covers defining data, the importance of data management, developing a data management plan, file naming conventions, metadata, data sharing and preservation. Key points include making a data management plan addressing types of data, standards, access and sharing policies; using descriptive file names with dates; storing multiple versions of data; and including metadata to explain the data. Resources for data management support are provided.

Laurie Goodman at the National Data Integrity Conference 2015: Big Data Publishing, Handling & Reuse. Colorado, 7th May 2015

This is a basic introduction to management of research data for fulfilling data management planning requirements.