http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Preparing qualitative research data for sharing
This dataset takes the learner through some lessons in research data management and demonstrates how a qualitative collection can be processed to a high standard, so that it becomes suitable for sharing and/or archiving. Research funders and journal publishers are increasingly expecting research data to be open, transparent, and shared. In order to share data, researchers must develop increasingly robust skills in order to process and store their research data. Some of the key elements of data management include documenting your data and providing contextual information for future users, formatting data in a consistent manner, storing your data securely, ensuring that you have the legal and ethical rights to share the research data, and finally ensuring that there are strategies to manage the confidentiality of the data you collect. Research data management should be an integral part of the research process, considered and planned from the start, and reviewed throughout the life cycle of the project. This dataset shows that although good data management practice was not initially implemented perfectly in this project, it was possible to retrospectively clean the qualitative dataset, so that it was suitable for archiving. This dataset provides three extracts from the PhD project, by Dr. Bethany Morgan Brett from The University of Essex, entitled The Negotiation of Midlife: Exploring the Subjective Experience of Ageing. These extracts can be used to practice data management skills and a Student Guide to presented to indicate how they could be used. The dataset files are accompanied by a Teaching Guide and a Student Guide.
Includes bibliographical references and index.