DataQ is a collaborative platform for the community to use to ask and answer questions related to research data support in academic libraries. Library staff from any institution may submit questions on research data topics to the DataQ website, where questions are reviewed by an Editorial Team of experts with additional support from an active pool of Project Volunteers. Answers to these questions, from both the community and the Editorial Team, are posted to the DataQ website and include links to resources and tools, best practices, and practical approaches to working with researchers to address specific research data issues.
Inter-university Consortium for Political and Social Research (ICPSR) website has a new section devoted to Data Management and Curation, which provides a general guide on research data quality, preservation, access, confidentiality, and citation, and also explains how ICPSR, as a social science research data archive, is working hard to address all these issues. There is also a Tools & Services section compiling recommended applications that could help researchers deal with data confidentiality, restricted-use data, data processing, and dissemination.
Starting the Conversation: University-wide Research Data Management Policy An OCLC Research Report by: Ricky Erway, OCLC Research Key highlights: The benefits of funder-required data management planning should apply to all research data Research and Compliance Offices, IT, Academic units, the Library, and Researchers should be involved in setting policy An entrepreneurial person may need to get things going—why not the library director? Starting the Conversation: University-wide Research Data Management Policy is a call for action that summarizes the benefits of systemic data management planning and identifies the stakeholders and their concerns.
Thanks to Lynda Kellam at the Dataland Blog for highlighting the United States Department of Housing & Urban Development (HUD) Data Set Reference Guides. HUD has a dense website and posts a lot of data. These two tables help you figure out which ones are most relevant for which areas of research. Unfortunately, neither has a usefully descriptive name or clear pattern of inclusion. The second guide is much shorter and includes sets like the CBO Appropriations and Fair Housing Cases as opposed to the American Housing Survey and State of the Cities listed on the first guide.
The Irish Qualitative Data Archive: Best Practice in Archiving Qualitative Data (PDF) handbook is intended to introduce the researcher and data curator to the issues they need to consider when developing an archiving strategy appropriate to their qualitative data set. The guidelines apply principally to textual data that have been generated in qualitative research projects.
The Penn State University Libraries Data Management Toolkit provides resources to help orient teaching and research faculty, as well as undergraduate and graduate students, around the topic of data management planning. While some sections are dedicated specifically to PSU students, faculty and staff, a large majority of the toolkit may be used generally by the public and offers great information on data management, planning, and sharing. The site also provides links to other institutions and organizations that offer resources on similar topics.
Developed by the Purdue University Libraries, the Data Management Plan: Self-Assessment Questionnaire (PDF) is designed to assist researchers in constructing a data management plan for their National Science Foundation (NSF) proposals.
UVA Scientific Data Consulting provides guidance on the concepts behind data planning and a general template for writing National Science Foundation (NSF) data management plans. In addition to planning, the guide includes a section on data citation.
UCSD Research Cyberinfrastructure: Data Management Planning contains resources, examples, and links to guides on writing a data management plan. Strong National Science Foundation (NSF) focus.