Federers book is most useful in helping readers gain a better understanding of the broad range of interrelated issues that fall under the general heading of data management. . . . Federer is a highly regarded research data informationist at the National Institutes of Health (NIH) Library, and she has assembled a stellar group of authors. . . .[ The book is] successful in painting a picture of the broad complexity of issues involved in dealing with research data. There are excellent chapters on the rise of data journals, the principles of data science, the relationship of traditional archival practices to the challenges of data curation, and the tools and practices for effectively visualizing data. . . . As sourcebooks, both volumes can serve as excellent reference materials. With Hendersons many practical examples and extensive bibliographies in particular, it is difficult to imagine a question that a data librarian (or aspiring data librarian) might have that they wont be able to find some help with here. . . .Regardless of where a librarian may be in their own grasp of data management issues, they will surely benefit from spending time with either or both of these books. (Reviewed jointly with Data Management: A Practical Guide for Librarians) * Journal of eScience Librarianship * The Medical Library Association Guide to Data Management comes at a great time for libraries interested in data management services. Its strength is the breadth of its discussion - theoretical underpinning of data management through the pragmatism of case studies. There is a broader picture of the subject than is offered in other books covering similar topics. This book addresses theory within the context of every day decisions by researchers and addresses the role the library in providing a larger service related to data management and the changing landscape of research. -- Rikke Ogawa, Team Leader for Research, Instruction, and Collection Services, UCLA, Louise M. Darling Biomedical Library
Lisainfo e-raamatute kohta