SynopsisStandards-based data management facilitates data preservation, discoverability, and access for effective data reuse within research groups and across communities of researchers. Data sharing requires community consensus on standards for data management, such as storage and formats for digital data preservation, metadata (i.e., contextual data about the data) that should be recorded and stored, and data access. Video imaging is a valuable tool for measuring time-varying phenotypes in organismal biology, with particular application for research in functional morphology, comparative biomechanics, and animal behavior. The raw data are the videos, but videos alone are not sufficient for scientific analysis. Nearly endless videos of animals can be found on YouTube and elsewhere on the web, but these videos have little value for scientific analysis because essential metadata such as true frame rate, spatial calibration, genus and species, weight, age, etc. of organisms, are generally unknown. We have embarked on a project to build community consensus on video data management and metadata standards for organismal biology research. We collected input from colleagues at early stages, organized an open workshop, “Establishing Standards for Video Data Management,” at the Society for Integrative and Comparative Biology meeting in January 2017, and then collected two more rounds of input on revised versions of the standards. The result we present here is a rubric consisting of nine standards for video data management, with three levels within each standard: good, better, and best practices. The nine standards are: (1) data storage; (2) video file formats; (3) metadata linkage; (4) video data and metadata access; (5) contact information and acceptable use; (6) camera settings; (7) organism(s); (8) recording conditions; and (9) subject matter/topic. The first four standards address data preservation and interoperability for sharing, whereas standards 5–9 establish minimum metadata standards for organismal biology video, and suggest additional metadata that may be useful for some studies. This rubric was developed with substantial input from researchers and students, but still should be viewed as a living document that should be further refined and updated as technology and research practices change. The audience for these standards includes researchers, journals, and granting agencies, and also the developers and curators of databases that may contribute to video data sharing efforts. We offer this project as an example of building community consensus for data management, preservation, and sharing standards, which may be useful for future efforts by the organismal biology research community.

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Objective: This paper identifies a sample of research data curation and management courses available at American Library Association-accredited Library and Information Science (LIS) Programs in North America. Methods:This sample was identified through a content analysis of LIS program course descriptions and syllabi (N=58). Using a framework of research data management and curation competencies, the team gathered a sample of research data curation and management courses offered between fall 2011 and summer 2012. Results:Only 13 (22%) of LIS programs currently offer a course focused on the management and curation of research data. Conclusion:Although the literature supports LIS professionals adopting new roles and engaging in eScience and data management, most LIS data-related programs do not have a separate course solely focused on research data management. More LIS programs will need to adapt their curricula in order to help students and practicing professionals develop the needed competencies in research data curation and management.

The need for a curriculum designed for librarians to use for teaching STEM research data management skills to their constituents from diverse STEM disciplines has been widely identified (Qin and D'Ignazio 2010). From 2012-2014, a collaborative group of New England librarians, led by a project team from the University of Massachusetts Medical School, developed lecture notes, presentation slides, assignments, readings, and case studies for teaching research data management. The New England Collabora-tive Data Management Curriculum (NECDMC) is unique in its flexibility; providing subject agnostic instructional materials in a modular format for teaching common data management best practices along with a suite of teaching cases illustrating data management in disciplinary contexts. This article is a follow-up to the "Teaching Research Data Management: An Undergraduate/ Graduate Curriculum (Piorun et al. 2012) that was published in the Journal of eScience Librarianship.