Johnston, Lisa R2017-03-222017-03-222017-019780838988626https://hdl.handle.net/11299/185335Table of Contents Acknowledgments Foreword Preliminary Step 0: Establish Your Data Curation Service Step 1.0: Receive the Data 1.1 Recruit Data for Your Curation Service 1.2 Negotiate Deposit 1.3 Transfer Rights (Deposit Agreements) 1.4 Facilitate Data Transfer 1.5 Obtain Available Metadata and Documentation 1.6 Receive Notification of Data Arrival Step 2.0: Appraisal and Selection Techniques that Mitigate Risks Inherent to Data 2.1 Appraisal 2.2 Risk Factors for Data Repositories 2.3 Inventory 2.4 Selection 2.5 Assign Step 3.0: Processing and Treatment Actions for Data 3.1 Secure the Files 3.2 Create a Log of Actions Taken 3.3 Inspect the File Names and Structure 3.4 Open the Data Files 3.5 Attempt to Understand and Use the Data 3.6 Work with Author to Enhance the Submission 3.7 Consider the File Formats 3.8 File Arrangement and Description Step 4.0: Ingest and Store Data in Your Repository 4.1 Ingest the Files 4.2 Store the Assets Securely 4.3 Develop Trust in Your Digital Repository Step 5.0: Descriptive Metadata 5.1 Create and Apply Appropriate Metadata 5.2 Consider Disciplinary Metadata Standards for Data Step 6.0: Access 6.1 Determine Appropriate Levels of Access 6.2 Apply the Terms of Use and Any Relevant Licenses 6.3 Contextualize the Data 6.4 Increase Exposure and Discovery 6.5 Apply Any Necessary Access Controls 6.6 Ensure Persistent Access and Encourage Appropriate Citation 6.7 Release Data for Access and Notify Author Step 7.0: Preservation of Data for the Long Term 7.1 Preservation Planning for Long-Term Reuse 7.2 Monitor Preservation Needs and Take Action Step 8.0: Reuse 8.1 Monitor Data Reuse 8.2 Collect Feedback about Data Reuse and Quality Issues 8.3 Provide Ongoing Support as Long as Necessary 8.4 Cease Data Curation Brief Concluding Remarks and a Call to Action Bibliography BiographiesCurating Research Data, Volume Two: A Handbook of Current Practice guides you across the data lifecycle through the practical strategies and techniques for curating research data in a digital repository setting. The data curation steps for receiving, appraising, selecting, ingesting, transforming, describing, contextualizing, disseminating, and preserving digital research data are each explored, and then supplemented with detailed case studies written by more than forty international practitioners from national, disciplinary, and institutional data repositories. The steps in this volume detail the sequential actions that you might take to curate a data set from receiving the data (Step 1) to eventual reuse (Step 8). Data curators, archivists, research data management specialists, subject librarians, institutional repository managers, and digital library staff will benefit from these current and practical approaches to data curation.enBook