[Sigsti-l] Fwd: Book Call for Proposals (CFP): Curating Research Data: Practical Strategies for Your Digital Repository
Moriana Garcia
garciam at denison.edu
Tue Jun 2 11:25:29 EDT 2015
FYI **Please excuse cross-postings**
-------- Forwarded Message -------- Subject: Book Call for Proposals
(CFP): Curating Research Data: Practical Strategies for Your Digital
Repository Date: Mon, 1 Jun 2015 07:56:22 -0500 From: Lisa Johnston
<ljohnsto at umn.edu> <ljohnsto at umn.edu> Reply-To:
arl-data-sharing-support-group at googlegroups.com To:
undisclosed-recipients:;
Dear colleagues,
I invite you to submit a proposal for the forthcoming book: Curating
Research Data: Practical Strategies for Your Digital Repository 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.
Feel free to contact me with questions,
Lisa Johnston (editor)
Official Call for Proposals
The forthcoming publication Curating Research Data: Practical Strategies
for Your Digital Repository (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.
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.
Outline of Book Topics:
Part 1: Setting the stage for data curation at your institution. 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:
-
Institutional and/or funder policies in support of data curation efforts.
-
Coordination of data services with other campus units.
-
Data management guidance on how to create/collect data that facilitates
sharing and long-term reuse.
-
Data repository software and technology implementation: review of
potential options or case studies of implementation.
-
Financial and business models for paying for the costs of data curation.
-
Understanding the disciplinary differences in data reuse: philosophies
of sharing or not sharing amongst researchers.
Part 2: Data Curation Handbook: Procedures and Techniques. 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:
-
Recruitment strategies for your curation service
-
Collection policies for data repositories
-
Tools to inventory and evaluate the content of submission (e.g., format
validation tools, virus check, file analyzer, etc.)
-
Risk factors for data archives (e.g., Detecting PII, HIPAA, and other
sensitive information
-
Data ownership issues (e.g., dealing with proprietary data and
copyrighted information)
-
Ingesting “big” data into your repository: approaches that work for
ingest and dissemination of large (>1TB) data files
-
Copyright and data: how trademarks, licenses, patents or other tools
impact data curation
-
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.)
-
Restrictions on data sharing (e.g., embargo, request a copy)
-
Deposit, ingest, and curation practices in disciplinary-specific data
archives
-
Data documentation methods and techniques
-
Applying metadata standards for disciplinary data
-
Archival considerations for research data (e.g., original file
structures, last modified dates, file names, etc.)
-
Long-term considerations for data file formats (e.g., proprietary files
formats such as Microsoft Excel)
-
Examples of visualization tools in a data repository context
-
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
-
Policies and techniques to facilitate data citation best practices
-
Managing end-users of data: Download and reuse tracking, Terms of Use or
reuse-agreements
-
Managing data authors: Handling take down requests, linking to future
publications that use the data, versioning issues
-
Techniques for the active preservation of data files in a range of
formats
Part 3: Ethical and Appropriate Reuse of Data. 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:
-
Analytics for how data reuse is tracked and interpreted (e.g., download
statistics, altmetrics, publication citations, etc.).
-
The role of creative commons, public domain dedication and open data
licenses for research data.
-
Quality measures for data (e.g., peer-review, user feedback, rating
systems, etc).
-
Data derivatives: Creating subsets, compilations, transformations, and
mashups of data from existing repositories.
-
Data as a publication: current trends and perspectives.
-
When should data “die”? Issues for data retention schedules and
deaccessioning.
-
The current state of linked data repositories (e.g., SHARE notification
system, the National Data Service, others).
Submission Procedure:
The editor invites proposals for two types of content:
1.
Abstracts up to 500 words for book chapters (topics in Part 1 and Part
3) should be submitted to Lisa Johnston (ljohnsto at umn.edu) by August 10,
2015. Full book chapters (2000-5000 words) selected for the book will be
due November 30, 2015.
2.
Practical case studies (200-1000 words) describing a tool or approach
used by the authors for Part 2 should be submitted in full by August 10,
2015. If all stages of the life-cycle are not covered, future solicitations
may be made to book chapter authors.
Contact Lisa Johnston (ljohnsto at umn.edu), with further questions.
--
~~~~~~~~~~~~~~~~~
Lisa Johnston
Research Data Management/Curation Lead
and Co-Director of the University Digital Conservancy
University of Minnesota Libraries
108 Walter Library, Minneapolis, MN 55455
p: 612.624.4216 F: 612.625.5583
http://lib.umn.edu/datamanagement | http://conservancy.umn.edu
ORCID: http://orcid.org/0000-0001-6908-9240
--
Moriana L. M. Garcia, MS, PhD, MLIS
Natural Sciences Liaison Librarian
Denison University Libraries
P.O. Box 805
Granville, OH, 43023
Phone: 740-587-5714
Online profile: http://libguides.denison.edu/morianagarcia
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