Collaboratively Build Data Science Services and Skills
Julie Goldman. 3/18/2020. “Collaboratively Build Data Science Services and Skills.” Webinar for NISO Building Data Science Skills: Strategic Support for the Work, Part Two. Publisher's VersionAbstract

This short talk will build on the concepts that were previously discussed during Part One: Labor and Capacity for Research Data Management. New opportunities for engagement in data-intensive research provoke qualitative changes to service and staffing models. In order for the academic library to provide high quality, campus-level support in data science with in-depth consultation services that require considerable time and expertise, the library must identify partners and foster skilled personnel. This presentation will provide tools and training examples, management challenges and opportunities for collaboration in supporting data science through the library and across institutions.

Data Management Online: The Great Data Cleanup Campaign Summer 2020
Julie Goldman. 8/29/2020. “Data Management Online: The Great Data Cleanup Campaign Summer 2020.” Presented at Librarians Supporting Researchers - Managing Data While Working Remotely NNLM Webinar.Abstract
In response to the COVID19 pandemic, Countway Library services moved online. In April, we started weekly webinars to engage Harvard community members with data management. Over three months, over 550 people tuned in for a live session! We decided to continue webinars during the summer, and the “Great Data Cleanup Campaign” was created to support the community to go back to the basics while continuing to work at home, or revamp their skills when returning to the lab. This presentation will explore how these weekly data management online sessions have benefited participants across the university (and even internationally) during the work at home environment.
Best Practices for Data Sharing and Deposit for Librarian Authors
Regina Raboin, T. Scott Plutchak, Lisa Palmer, and Julie Goldman. 2/13/2019. “Best Practices for Data Sharing and Deposit for Librarian Authors.” Webinar sponsored by NEASIST, the New England Chapter of the Association for Information Science and Technology. Publisher's VersionAbstract
Sharing data is now encouraged by major funding agencies, and many journals require it as a prerequisite for publication. While many of the hard science journals have implemented ‘Data Deposit Requirements’ and ‘Policies’, in the Library Science literature, publishers are beginning to move titles into open access journals, but data deposit requirements are just beginning to be addressed. Librarian authors will increasingly find themselves having to comply with data sharing policies. In this webinar, we look at examples from the Journal of the Medical Library Association and the Journal of eScience Librarianship and discuss best practices in data deposit.
Data Science Training for the Future: Building a Carpentries Consortium
Julie Goldman. 3/29/2019. “Data Science Training for the Future: Building a Carpentries Consortium.” Presented at the National Network of Libraries of Medicine New England Region e-Science Forum. Publisher's VersionAbstract
This presentation discussed the development of the New England Software Carpentry Library Consortium (NESCLiC), a member organization of the Carpentries. The Carpentries is a non-profit organization and international community of volunteers that develops lessons, trains instructors, and organizes workshops in data management and software development best practices for and by researchers and librarians across disciplines.
Data Science Training for the Future: Building a Carpentries Community
Julie Goldman. 5/15/2019. “Data Science Training for the Future: Building a Carpentries Community.” Presented at the Research Data Access and Preservation (RDAP) Summit. Publisher's VersionAbstract

How can librarians demonstrate their relevance in the changing landscape of new software and research skills? Get involved in "The Carpentries" by teaching software code and improving researcher's data toolkits! The Carpentries (Software, Data and Library) can serve as a core programmatic element for libraries to invest in.

The New England Software Carpentry Library Consortium, or NESCLiC for short, has brought together library staff from nine academic libraries: Yale, Harvard, Tufts, Dartmouth, UMass Amherst, UMass Medical, UConn, Brown, and Mt. Holyoke.

NESCLiC shares the costs and benefits that go along with Gold Tier membership, but the Consortium also allows staff from the different areas of academic librarianship and technology, including the digital humanities, statistics, high performance computing, sciences, engineering, medical libraries, and data services, to work together on Carpentries initiatives in their libraries.

The group's goal was to create a network of Carpentries instructors in New England, to share instruction, and ultimately, to develop new lesson material. Sharing the membership between the nine libraries allowed NESCLiC members to pilot the Carpentries approach together, rather than separately, and to lower the costs for each institution.

Members of NESCLiC have served as hosts, instructors, and helpers in nine workshops across New England, reaching librarians and scholars at: Tufts, Dartmouth, Yale, SCSU, Berklee School of Music and Brown. Moving forward, NESCLiC plans to extend their membership to other academic institutions and help onboard additional certified instructors.

Learn how the instructors are staying involved in this consortium, building their own carpentry skills, giving back to their communities, and collaborating around New England (and beyond)!

Supporting data science through the academic library
Jeffrey C. Oliver, Tobin Magle, Todd Grappone, Christopher Erdmann, Julie Goldman, and Tim Dennis. 10/14/2019. “Supporting data science through the academic library.” Presented at the Digital Library Federation (DLF) Forum. Publisher's VersionAbstract
The surge in interest in data science is fueling demands for support in several dimensions of data-intensive research. Academic libraries are poised to capitalize on these opportunities, but require consideration of accompanying challenges, including resource management, inclusive programming, and recruitment and retention of library talent.
Research Data Management: Effective Options For Administrators
Julie Goldman and Patti Condon. 4/29/2019. “Research Data Management: Effective Options For Administrators.” Presented at The Three Is: IACUCs, IBCs And IRBs, Biosecurity & Research Integrity Conference. Publisher's VersionAbstract

In this session, Julie Goldman and Patti Condon discuss research data management as a key component of research integrity and offer effective options for addressing challenges faced by administers and researchers. Data management involves establishing and implementing strategies for the responsible and sustainable collection, handling, sharing, re-use, secure storage, and long-term access of data. However, we face inherit challenges managing data in a digital and networked environment, for example, technological obsolescence, the quantity of data generated, data sharing and discoverability, and skills development. We are also confronted with external pressures such as mandates from federal funding agencies requiring evidence of sound data management practices and emphasizing the dissemination of data.


Through a combination of presentation, discussion, and interactive participation, this workshop addresses the various roles and opportunities of stakeholder when navigating the complex landscape of data management. At the conclusion of this session, participants will be more familiar with challenges associated with the management of data for their communities and approaches to addressing responsible conduct in data management in ways that are most meaningful and useful to the researchers they support.

Towards Coordinated Research Data Management at Harvard
Julie Goldman, Mason Miranda, Jessica Pierce, Bob Freeman, Katherine McNeill, Ceilyn Boyd, Sonia Barbosa, and Mercè Crosas. 6/7/2018. “Towards Coordinated Research Data Management at Harvard.” Presented at Harvard IT Summit.Abstract
This panel presentation highlights groups who are coordinating efforts to provide services, resources and support in the area of Research Data Management. 
Harvard’s Legacy for Data Services
Julie Goldman. 5/21/2018. “Harvard’s Legacy for Data Services.” Presented at the Medical Library Association 118th An-nual Meeting and Exhibition. Publisher's VersionAbstract

OBJECTIVE: The Harvard Library has a decentralized organizational structure serving a wide breadth of disciplines. This model allows librarians to build close relationships with research communities, but it presents challenges to systematically connect researchers to expertise necessary to support their data needs. In order to formalize a more integrated strategy, Harvard Library is developing a strategic plan for providing data services.

METHODS: The Harvard Library Research Data Management Program connects community members to services and resources spanning the research data lifecycle, to help ensure multi-disciplinary research data is findable, accessible, interoperable, and reusable. HL-supported data librarians embedded at the school or department level provide direct-to-patron services. The program also provides program-to-unit services which include a directory of services and community events. In addition, the Harvard Medical School Data Management Working Group includes a variety of representatives. The group endeavors to help create solutions, provide guidance, and develop standards and best practices to meet unmet needs and anticipate future needs of biomedical researchers. Coordination must happen in conjunction with the HMS DMWG, and be transparent to the entire Harvard Library system. It is the goal of a strategic plan to outline Countway Library data services in a systematic, rather than ad hoc, fashion.

RESULTS: Four strategic priorities identified:
Service/Collections: support DMPTool; advocate appropriate repositories; support ORCID adoption; provide consultations; re-think library space to support research.
Outreach/Resources: website with resources and guidance; RDM lectures; provide software and tools necessary for biomedical research; collaborate with local and national partners to foster best practices; identify strategies for promotion of services.
Education/Training: collaborate with others to provide training; offer specialized bioinformatics training; equip librarians with the skills necessary to provide data services.
Assessment/Impact: tie in data services assessment to the library-wide program; explore user feedback methods; gather analytics and implement user feedback tools.

CONCLUSIONS: The ultimate goal is to improve communication between the disparate groups on campus, as well as promote the Library’s services as the same. Working with a variety of entities will help guide Harvard Library to foster strong collaborations with diverse partners. With guidance from this strategic plan, the library will look to emerging trends and determine tools and knowledge necessary to implement new services.

Putting “U” in UX Workshop
Julie Goldman and Allison Kay Herrera. 1/24/2018. “Putting “U” in UX Workshop.” Workshop at the MLGSCA & NCNMLG Joint Meeting. Publisher's VersionAbstract
This workshop provides an overview of qualitative user experience (UX) research types and when to implement each method to gain user perspective and feedback. A lesson plan and resources may be used to conduct your own workshops.
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