<div dir="ltr"><span id="docs-internal-guid-96c3718b-af2b-a23d-0c3e-f7367400911d"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="line-height:1.38;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Dear colleagues,&nbsp;</span></p><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="line-height:1.38;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent"><br></span></p><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="line-height:1.38;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">I invite you to submit a proposal for the forthcoming book: </span><span style="line-height:1.38;font-family:Arial;color:rgb(0,0,0);font-style:italic;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Curating Research Data: Practical Strategies for Your Digital Repository </span><span style="line-height:1.38;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">to be published in print and online by ACRL in 2016. This CFP includes two types of content submissions, book chapters and shorter case studies, therefore please consider proposing multiple topics. The deadline for proposals is August 10, 2015.</span><br></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Feel free to contact me with questions, </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Lisa Johnston (editor)</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);font-weight:bold;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Official Call for Proposals</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">The forthcoming publication </span><span style="font-family:Arial;color:rgb(0,0,0);font-style:italic;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Curating Research Data: Practical Strategies for Your Digital Repository</span><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent"> (ed. Lisa R. Johnston) aims to guide readers across the data life-cycle through the practical strategies and techniques for curating research data in a digital repository setting. The workflow steps for appraising, ingesting, selecting, describing, providing standard metadata, transforming, contextualizing, disseminating, licensing and preserving digital research data will be explored in detail. The examples highlighted will focus specifically on digital research data, yet they should draw from existing practice in the digital curation and archives communities, and thus not recreate the wheel, but provide a solid base from which to build.</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Librarians, institutional repository managers, and digital libraries staff will benefit from these approaches to data curation brought together in one volume. The chapters in this book will flow across the sequential steps one might take to curate a dataset from pre-ingest (working with the data creator) to eventual reuse. Theory will be supplemented with practical approaches for curating research data from experts and practitioners in academic, institutional and disciplinary data repositories. Specific, detailed tasks will be solicited, such as: detecting personally identifiable information, repository software for ingested data files, and transforming proprietary software files into archival formats for long-term preservation.</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);font-weight:bold;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Outline of Book Topics:</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);font-weight:bold;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Part 1: Setting the stage for data curation at your institution. </span><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">This section will describe the needed environment from which to launch and sustain data curation services. Many factors that precede and/or influence data curation practice are explored. Theory-based book chapters (2000-5000 words) are sought in the following areas:</span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Institutional and/or funder policies in support of data curation efforts.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Coordination of data services with other campus units.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Data management guidance on how to create/collect data that facilitates sharing and long-term reuse.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Data repository software and technology implementation: review of potential options or case studies of implementation.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Financial and business models for paying for the costs of data curation.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Understanding the disciplinary differences in data reuse: philosophies of sharing or not sharing amongst researchers. </span></p></li></ul><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);font-weight:bold;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Part 2: Data Curation Handbook: Procedures and Techniques. </span><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">This section will focus on practical approaches for curating data. The chapters will follow the data curation life-cycle and sequentially detail the approaches, tools and techniques used by data curators for ingesting, accessioning, describing, providing standard metadata, transforming, contextualizing, disseminating, licensing and preserving digital research data. Practical, essay-length case studies (approx. 200-1000 words) are solicited that describe a firsthand approach or tool used by the author(s). Multiple submissions by are encouraged. Possible topics include:</span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Recruitment strategies for your curation service</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Collection policies for data repositories</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Tools to inventory and evaluate the content of submission (e.g., format validation tools, virus check, file analyzer, etc.)</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Risk factors for data archives (e.g., Detecting PII, HIPAA, and other sensitive information</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Data ownership issues (e.g., dealing with proprietary data and copyrighted information)</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Ingesting &ldquo;big&rdquo; data into your repository: approaches that work for ingest and dissemination of large (&gt;1TB) data files</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Copyright and data: how trademarks, licenses, patents or other tools impact data curation</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Dealing with human subjects data (e.g., IRB agreements, PII, HIPAA, etc.) and how to determine the right approach for curation (e.g., deidentification, enclave, etc.)</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Restrictions on data sharing (e.g., embargo, request a copy)</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Deposit, ingest, and curation practices in disciplinary-specific data archives</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Data documentation methods and techniques</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Applying metadata standards for disciplinary data</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Archival considerations for research data (e.g., original file structures, last modified dates, file names, etc.)</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Long-term considerations for data file formats (e.g., proprietary files formats such as Microsoft Excel)</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Examples of visualization tools in a data repository context</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Dissemination services for research data, such as full-text indexing, ORCIDs, persistent identifiers (e.g., DOIs, PURLs, handles, etc.), linked data, funder IDs (Fundref) or others</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Policies and techniques to facilitate data citation best practices</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Managing end-users of data: Download and reuse tracking, Terms of Use or reuse-agreements</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Managing data authors: Handling take down requests, linking to future publications that use the data, versioning issues</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Techniques for the active preservation of data files in a range of formats</span></p></li></ul><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);font-weight:bold;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Part 3: Ethical and Appropriate Reuse of Data.</span><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent"> This section explores the goals and outcomes of the final step in the data curation life-cycle: reuse. Theory-based book chapters (2000-5000 words) are sought in the following areas:</span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Analytics for how data reuse is tracked and interpreted (e.g., download statistics, altmetrics, publication citations, etc.).</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">The role of creative commons, public domain dedication and open data licenses for research data.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Quality measures for data (e.g., peer-review, user feedback, rating systems, etc).</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Data derivatives: Creating subsets, compilations, transformations, and mashups of data from existing repositories.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Data as a publication: current trends and perspectives.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">When should data &ldquo;die&rdquo;? Issues for data retention schedules and deaccessioning.</span></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">The current state of linked data repositories (e.g., SHARE notification system, the National Data Service, others).</span></p></li></ul><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);font-weight:bold;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Submission Procedure:</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">The editor invites proposals for two types of content:</span></p><ol style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:decimal;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Abstracts up to 500 words for book chapters (topics in Part 1 and Part 3) should be submitted to Lisa Johnston (<a href="mailto:ljohnsto@umn.edu">ljohnsto@umn.edu</a>) by August 10, 2015. Full book chapters (2000-5000 words) selected for the book will be due November 30, 2015. &nbsp;</span></p></li><li dir="ltr" style="list-style-type:decimal;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;background-color:transparent"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Practical case studies (200-1000 words) describing a tool or approach used by the authors for Part 2 should be submitted </span><span style="font-style:italic;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">in full</span><span style="vertical-align:baseline;white-space:pre-wrap;background-color:transparent"> by August 10, 2015. If all stages of the life-cycle are not covered, future solicitations may be made to book chapter authors. </span></p></li></ol><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">Contact Lisa Johnston (</span><a href="mailto:ljohnsto@umn.edu" style="text-decoration:none"><span style="font-family:Arial;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap;background-color:transparent">ljohnsto@umn.edu</span></a><span style="font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent">), with further questions.</span></p><div><span style="font-size:15px;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent"><br></span></div><div><span style="font-size:15px;font-family:Arial;color:rgb(0,0,0);vertical-align:baseline;white-space:pre-wrap;background-color:transparent"><br class=""><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;white-space:normal">--&nbsp;</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;white-space:normal"><div class="gmail_signature" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;white-space:normal"><div dir="ltr"><br><div>~~~~~~~~~~~~~~~~~<br></div><div>Lisa Johnston</div><div>Research Data Management/Curation Lead&nbsp;</div><div>and Co-Director of the University Digital Conservancy</div><div><br>University of Minnesota Libraries</div><div>108 Walter Library, Minneapolis, MN 55455&nbsp;<br>p: 612.624.4216&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; F: 612.625.5583<br><a href="http://lib.umn.edu/datamanagement" target="_blank">http://lib.umn.edu/datamanagement</a>&nbsp; |&nbsp;&nbsp;&nbsp;<a href="http://conservancy.umn.edu/" target="_blank">http://conservancy.umn.edu</a><br><br>ORCID:&nbsp;<a href="http://orcid.org/0000-0001-6908-9240" target="_blank">http://orcid.org/0000-0001-6908-9240</a>&nbsp;<br><br></div></div></div></span></div></span></div>