PDFR75 | As reviewed in the previous chapter, data management plans (DMPs) have provided an excellent gateway for librarians seeking ways to collaborate with researchers. However, the DMPs frequently capture only initial plans for data at the end of a grant application, often written just hours before the submission deadline. Researchers may also have data captured from a previous pilot project, a project already underway, or a project that is already completed. Further, once the grant is received or a plan has been completed, the researcher may realize she needs something entirely different halfway through the process; may run into intellectual property, patent, or privacy issues; or may encounter an unexpected publisher or university mandate regarding data | Before launching any data management services, librarians need to understand the purpose of each service to select the services they are prepared to offer | When investigating research data services for your library, it is best to start small, investigate research data needs locally, and develop strategies to build services over time | Allowing patrons to request datasets easily aligns with collection development responsibilities. However, it may come with some new challenges. Many datasets are purchased by individuals or labs, and the dataset owner may not have procedures for institutional purchase or access. As most libraries do not purchase materials solely for an individual or small group’s use, this can cause challenges in licensing. Datasets may also include material with unique storage and security requirements. Consultation with library or campus information technology (IT) departments to ensure discoverability without privacy violations may be necessary before purchase. An example of a data purchasing program is available from the University of Illinois at Urbana-Champaign, where purchase requests were solicited from faculty, academic professionals, and graduate students with the goals of meeting smaller needs (>$5000) and improving the datasets available to the campus | Libraries have a considerable number of options for providing data support beyond consulting on data management plans. This chapter describes an array of possible services that different libraries are already offering. While it is rarely feasible to provide every service listed, libraries should take advantage of their staff skills, their goals, and existing partnerships on campus to provide a level of data support that is right for their campus. When in doubt, start small, examine local researcher data needs, and create a plan for how to grow data support over time | MLA Citation Style | No Abstract |

Contents
1. The Medical Library Association Guide to Data Management for Librarians- Chapter 10: Going Beyond the Data Management Plan: Services and Partnerships INTRODUCTION pg. 2
2. Background pg. 3
3. Internal Preparation pg. 5
--Strategic Planning pg. 5
--Data Management Education (Internal) pg. 5
4. Library Data Management Services pg. 6
--Finding Data
--Purchasing Data pg. 8
--Data Citation pg. 8
--Data Management Education (external) pg. 9
--Data Management Consultations pg. 10
--Developing Data Workflows pg. 11
--Embedded Librarian pg. 11
--Metadata Services pg. 12
--Promoting Open Data pg. 13
--Preparing Datasets for Deposit pg. 13
5. Collaborative Data Management Services pg. 14
--Data Policy pg. 14
--Data Repositories pg. 16
--Data Analysis Support pg. 17
--Data Visualization pg. 18
--Secure Data Room pg. 18
--Identifying Campus Partners pg. 19
--Campus IT pg. 19
6. Office of Research and/or Sponsored Programs pg. 20
--Institutional Review Board (IRB) / Animal Care Committee (ACC) pg. 21
--Faculty Senate pg. 21
--Office of Technology Management/Intellectual Property/Business Development pg. 21
7. Selecting the Right Services pg. 22
8. Conclusion pg. 23
9. Pearls pg. 24
10. Bibliography pg. 25

SA - http://docs.lib.purdue.edu/lib_fspres/44/ | http://figshare.com/articles/A_table_summarizing_the_Federal_public_access_polic...
RT -Library Services
BT -Information Literacy
NT -Scholarship as Conversation - contribute to scholarly conversation at an appropriate level, such as local online community, guided discussion, undergraduate research journal, conference presentation/poster session; see themselves as contributors to scholarship rather than only consumers of it; value user-generated content and evaluate contributions made by others; recognize that systems privilege authorities and that not having a fluency in the language and process of a discipline disempowers their ability to participate and engage | Searching as Strategic Exploration |
UF - Defining DM Services
SN - This is a paper that expands on what is Data Management Services. (This entry does not reference a hierarchical list)