Curating Research Data, Volume Two: A Handbook of Current Practice

Description

Data are becoming the proverbial coin of the digital realm: a research commodity that might purchase reputation credit in a disciplinary culture of data sharing, or buy transparency when faced with funding agency mandates or publisher scrutiny. Unlike most monetary systems, however, digital data can flow in all too great an abundance. Not only does this currency actually grow on trees, but it comes from animals, books, thoughts, and each of us! And that is what makes data curation so essential. The abundance of digital research data challenges library and information science professionals to harness this flow of information streaming from research discovery and scholarly pursuit and preserve the unique evidence for future use. Curating 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. Digital data is ubiquitous and rapidly reshaping how scholarship progresses now and into the future. The information expertise of librarians can help ensure the resiliency of digital data, and the information it represents, by addressing how the meaning, integrity, and provenance of digital data generated by researchers today will be captured and conveyed to future researchers. Table of Contents Acknowledgments Foreword Preliminary Step 0. Establish Your Data Curation Service Summary of 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 A Case Study for Organizing and Documenting Research Data 1.3 Transfer Rights and Deposit Agreements Legal Agreements for Acquiring Restricted-Use Research Data 1.4 Facilitate Data Transfer 1.5 Obtain Available Metadata and Documentation Strategies for Acquiring Metadata That Facilitates Sharing and Long-Term Reuse of Research Data Challenges with Quality of Data Set Metadata in a Self-Submission Repository Model 1.6 Receive Notification of Data Arrival Summary of Step 1.0: Receive the Data Step 2.0. Appraisal and Selection Techniques That Mitigate Risks Inherent to Data 2.1 Appraisal Scientific Records Appraisal Process: US Geological Survey Case Study 2.2 Risk Factors for Data Repositories Considerations for Restricted-Use Research Data Human Subjects Data in an Open Access Repository 2.3 Inventory 2.4 Selection 2.5 Assign Summary of Step 2.0: Appraise and Select 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 Just-in-Time Data Management Consultations 3.4 Open the Data Files Finding Metadata in R: Where to Look Helpful Commands for Exporting Metadata from Statistical Software Packages SPSS, Stata, and R 3.5 Work with Author to Enhance the Submission Losing Research Data Due to Lack of Curation and Preservation 3.6 Consider the File Formats Preserving 3D Data Sets: Workflows, Formats, and Considerations 3.7 File Arrangement and Description Legacy Research Data Management for Librarians: A Case Study Summary of Step 3.0: Processing and Treatment Actions for Data Step 4.0. Ingest and Store Data in Your Repository 4.1 Ingest the Files Data and a Diversity of Repositories Standardization and Automation of Ingest Processes in a Fully Mediated Deposit Model Dryad Curation Workflows 4.2 Store the Assets Securely 4.3 Develop Trust in Your Digital Repository Making the Case for Institutional Data Repositories Making the Case for Disciplinary Data Repositories Summary of Step 4.0: Ingest and Store Data in Your Repository Step 5.0. Descriptive Metadata 5.1 Create and Apply Appropriate Metadata 5.2 Consider Disciplinary Metadata Standards for Data Modern Metadata at Scale: CLOSER Case Study Beyond Discovery: Cross-Platform Application of Ecological Metadata Language in Support of Quality Assurance and Control Summary of Step 5.0: Descriptive Metadata Step 6.0. Access 6.1 Determine Appropriate Levels of Access 6.2 Apply the Terms of Use and Any Relevant Licenses Why Does Dryad Use Creative Commons Zero (CC0)? 6.3 Contextualize the Data The Geographic Storage, Transformation and Retrieval Engine (GSToRE): A Platform for Active Data Access and Publication as a Complement to Dedicated Long-Term Preservation Systems Pre-Metadata Counseling: Putting the DataCite relationType Attribute into Action 6.4 Increase Exposure and Discovery 6.5 Apply Any Necessary Access Controls 6.6 Ensure Persistent Access and Encourage Appropriate Citation A Participant Agreement for Minting DOIs for Data Not in a Repository 6.7 Release Data for Access and Notify Author Summary of Step 6.0: Access Step 7.0. Preservation of Data for the Long Term 7.1 Preservation Planning for Long-Term Reuse Balancing Digital Preservation Standards with Data Reusability 7.2 Monitor Preservation Needs and Take Action Archiving Three Waves of the National Survey of Families and Households From KAPTUR to VADS4R: Exploring Research Data Management in the Visual Arts Summary of Step 7.0: Preservation of Data for the Long Term Step 8.0. Reuse 8.1 Monitor Data Reuse Facilitating Good Data Citation Practice Reuse of Restricted-Use Research Data 8.2 Collect Feedback about Data Reuse and Quality Issues Enabling Scientific Reproducibility with Data Curation and Code Review 8.3 Provide Ongoing Support as Long as Necessary 8.4 Cease Data Curation Summary of Step 8.0: Reuse Brief Concluding Remarks and a Call to Action Bibliography Biographies Author Biography Case Study Author Biographies