The UK Data Archive is curator of the largest collection of digital data in the social sciences and humanities in the United Kingdom. With several thousand data collections, our Archive is a vital resource for researchers, teachers and learners.
Research Data Netherlands is an alliance between 4TU.Centre for Research Data, Data Archiving and Networked Services (DANS) and SURFsara. With this coalition, which is also open to other parties, the three data archives join forces in the area of long-term data archiving.
Data Literacy is an emerging area of interest for librarians. As with many emerging and interdisciplinary fields, data literacy means different things to interested stakeholders and experts. Rather than trying to produce a definitive explanation of what data literacy means on this site we seek to present resources that depict multiple viewpoints to enable you, the reader, to make your own decisions based on your specific contexts and needs.
However, we strongly believe that librarians have a role to play in data literacy and that the work librarians and others have invested in understanding and responding to information literacy can serve as a foundation for this role. Therefore, we are employing the term "Data Information Literacy" (DIL) on this site to make this connection clear and to keep it at the forefront of the discussion as we define our roles and responsibilities in this space.
NECDMC is an instructional tool for teaching data management best practices to undergraduates, graduate students, and researchers in the health sciences, sciences, and engineering disciplines. Each of the curriculum’s seven online instructional modules aligns with the National Science Foundation’s data management plan recommendations and addresses universal data management challenges. Included in the curriculum is a collection of actual research cases that provides a discipline specific context to the content of the instructional modules. These cases come from a range of research settings such as clinical research, biomedical labs, an engineering project, and a qualitative behavioral health study. Additional research cases will be added to the collection on an ongoing basis. Each of the modules can be taught as a stand-alone class or as part of a series of classes. Instructors are welcome to customize the content of the instructional modules to meet the learning needs of their students and the policies and resources at their institutions.
a community resource guide to data curation in the digital humanities
The DH Curation Guide is a compilation of articles that address aspects of data curation in the digital humanities. The goal of the DH Curation Guide is to direct readers to trusted resources with enough context from expert editors and the other members of the research community to indicate to how these resources might help them with their own data curation challenges.
Each article provides a short introduction to a topic and a list of linked resources. Structuring articles in this way acknowledges the many excellent resources that already exist to provide guidance on subjects relevant to curation such as data formats, legal policies, description, and more.
OpenRefine (formerly Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.