Digital Scholarly Communication @Claremont Colleges
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Transcript of Digital Scholarly Communication @Claremont Colleges
Digital Scholarly
Communication
@ Claremont CollegesAshley SandersPhD Candidate
DH Specialist
What Now?
1. Fast Trends (1-2 years):
Increasing focus on research data management
for publications
Prioritize mobile content & delivery
2. Mid-Range Trends (3-5 years):
Evolution of scholarly record
Increasing accessibility of research content
3. Long-Range Trends (5+ years):
Continual progress in technology, standards, and
infrastructure
New forms of multi-disciplinary research
Fast Trends: Research Data Management
and Mobile Content Delivery @Claremont
Suggestions
Structured data: Using URIs
to name digital objects and
link related resources.
Begin implementing now
but it is also a long-range
trend
Access to research
databases & data
visualizations
Integration of various media
in scholarly publishing
Mobile Apps
Resources & Examples
LOD for Newcomers:
http://documentingcappadocia.newmedialab.cuny.e
du/linked-data-for-the-uninitiated-part-1/
Visualizing historiography: http://clio.osu.edu/fhq/3d/
U-Mass Re-use & Re-distribution
Guidelines:http://www.library.umass.edu/service
s/services-for-faculty/data-management/data-
management-plan-guidance/re-use-and-re-
distribution/
University of
AZhttp://www.library.arizona.edu/help/how-do-
i/mobile#other
Mobile Brown University:
http://library.brown.edu/m/
1.
Visual Historiography: Visualizing “The Literature of a Field”
David J. Staley, Associate Professor of History and Design, and Director, The Goldberg Center
The Ohio State University ([email protected])
Scot A. French, Associate Professor of History
University of Central Florida) ([email protected])
Bill Ferster, Research Professor University of Virginia ([email protected])
collaborators: Connie Lester, Daniel Murphree, Sarika Joshi (UCF)
Erin Tobin, Shauna Hann, Mitchell Shelton (OSU)
http://clio.osu.edu/fhq/3d/
The call for visualizing “Big Data” has generated a groundswell of interest among historians and humanities scholars, as demonstrated by the international response to the National Endowment for the Humanities’ 2010 and 2011 Digging into Data challenges. Exemplary efforts from the first two rounds of projects suggest the great potential for visualizing large repositories of primary sources for historical insight. Our project treats a peer-reviewed scholarly journal – Florida Historical Quarterly, housed at the University of Central Florida – as a dataset to be analyzed and visualized. In applying macro-level reading and text-mining tools to the secondary literature of a scholarly field, we are making visible patterns of topical coverage. In this poster, we present the results of our case study. We machine-read over 1500 research articles across the entire 85 year run of the journal (1924-2009) and identified the top 100 key terms. (The top key term “Indian” is located at the center of the visualization; the rest of the key term list expands out from the middle.) We then arrayed each of these key terms according to the number of times the key term appears per year in order to develop a “macro-reading” of the journal. Key terms were identified using the Data For Research application developed by JSTOR. The key terms were determined using term frequency–inverse document frequency (TF-IDF), a statistical measure of how important a word is in a given document. We have generated two such visualizations from this data: a 2-D chart and the same data as a 3-D interactive “topology” (the latter soon to be “translated” into a physical sculpture.)
To exploit Paper Machines’ capacity for quick text analysis and visualization, we constructed a shared, private Zotero library of FHQ articles, organized into subcollections by 10-year periods and selected editorial regimes. Assembling the collection took several weeks, as JSTOR imposes strict limits on the number of downloads.
We found the Paper Machines toolkit helpful in suggesting varied approaches to textual analysis but ultimately quite limited in its interpretive value.
Multiple Word Clouds – 10-Year Spans
Phrase Net - x’s y
Topic Modeling By Time – Most Common
Heat Map
The Multiple Word Cloud feature seemed ideal for making at-a-glance comparisons of key words by time period (10-year blocks) and by editorial regime (Yonge era, 1925-1955, vs. Proctor era, 1965-95). Unfortunately the word clouds generated -- based on machine reading of unfiltered text -- revealed far too little noteworthy variation in key term frequency to generate meaningful observations/hypotheses about historiographical change over time. The inclusion of extraneous words (such as journal front matter) and the failure to recognize singular and plural variants (Indian/Indians) as sharing common base for purpose of words counts proved especially frustrating. Other tools generated more suggestive, if not conclusive, results.
Phrase Net allowed us to move beyond simple word counts and map more complex word pairings known as ”regular expressions.” Seeing high-frequency FHQ keywords within these phrases helped us to disambiguate those recognizable as proper nouns, such as “Osceola” and “Jackson,” by providing associational context. For example, the phrase net tool allowed us to distinguish between Jackson as a place name (Jackson County, Fl.) and Jackson as the name of an historically significant individual (e.g., Andrew Jackson) who possessed something (an army). A full corpus search for the regular expression “x[‘s]y” highlighted numerous phrases indicating relationships of possession or control. Among the most common returns for named individuals were civil and military leaders (Jackson, the Spanish explorer and conquistador Hernando deSoto, and the Seminole leader Osceola chief among them) as well as unnamed authority figures (“governor,” “king,” “queen,” “majesty,” “bishop”). These Phrase Net findings suggest a cumulative editorial bias in FHQ toward colonial/antebellum Florida history and the region’s history/legacy of political and military conquest.
The Topic Modeling tool generated results that largely confirmed the project team’s pre-machine-reading perceptions of the journal’s content. Ranked among “most common” topics, with relatively stable frequency over time, were these topical clusters: Civil War (confed, feder, regiment), Seminole Wars (fort, indian, seminole), and slavery and its racial legacy (slave, negro, free). The visual modeling of these topics added little informational value, however, as the graphic display revealed nothing about regime-sensitive changes in the presentation/interpretation of these perennial FHQ topics.
Data Visualizations
David J. Staley, Scott A.
French and Bill Ferster, “Visual
Historiography: Visualizing
‘The Literature of a Field’”,
Poster Presented at DH2013
and featured in JDH 3:1
(Spring 2014).
http://journalofdigitalhumanities
.org/3-1/visual-historiography-
visualizing-the-literature-of-a-
field/
1.
Access to Research Data
Sets
Source: Left: C. Tenopir Et Al. Plos One 6, E21101 (2011); Right:
Tenopir/Allard/Sandusky/Birch/NSF Dataone Project. In “Publishing Frontiers: The Library Reboot.”
http://www.nature.com/news/publishing-frontiers-the-library-reboot-1.12664
1.
Marketing
Scholarship@ClaremontScholarship@Claremont on Twitter
Link to it on the library home page
Invite faculty and students to do lightning talks
and longer interviews about their research
Create a YouTube stream to feature them and
embed it in the website
Showcase multimedia publications, interactive
digital projects & scholars’ websites
Host an “induction” ceremony each term for
scholars whose work has been added to the
database
*
Mid-Range Trends (3-5 years):
Evolution of Scholarly Record @Claremont
Suggestions
Access to grey literature
through
Scholarship@Claremont:
Conference proceedings,
white papers, lab reports,
etc.
Stay current on digital
publication trends to advise
administrators, faculty & grad
students.
Blogs, Twitter, &
Academia.edu
Digital scholarship
assessment:
Resources & Examples
Grey Lit Database:
http://www.greylit.org/
Innovating Communication in Scholarship (ICIS) @UC Davis:
http://icis.ucdavis.edu/?page_id=259
microBEnet: The Microbiology of the Built Environment:
http://microbe.net/
H-Net:
http://networks.h-net.org
2.
New Forms of Scholarly Communication &
Publication
The Orbis Project from Stanford: http://orbis.stanford.edu/. For more information, see:
JDH 1:3 http://journalofdigitalhumanities.org/1-3/
2.
New Forms of Scholarly Communication &
Publication
2.
Other examples of digital scholarship
include:
Mapping the Republic of Letters (Stanford):
http://republicofletters.stanford.edu/
Shaping the West (Stanford):
https://web.stanford.edu/group/spatialhistory/cgi-
bin/site/project.php?id=997
Hypercities (UCLA): http://hypercities.ats.ucla.edu/
Van Gogh Letters (Van Gogh Museum):
http://www.vangoghletters.org/vg/
Long-Range Trends (5+ years):
Technology, Standards and Infrastructure@Claremont
Suggestions
Re-envisioning library
services
Maker-spaces
DH Lab
Virtual meeting & research
collaboration platforms
Facilitating multidisciplinary
research
Demo such research
Create interactive spaces
Host intercollegiate
networking opportunities
Resources & Examples
GVSU Tech Showcase:
http://www.gvsu.edu/techshowcase/
LMU|LA Library:
http://library.lmu.edu/usingthelibrary/spaces/#d.en.90115
Scholars’ Lab Maker Space @ UVA:
http://scholarslab.org/makerspace/
Heurist Collaborative Digital Workspace
http://heuristnetwork.org/
3.
The Early Days of H-Net
Listserv
H-Net Today:
The Commons
H-Net Project Types
Supporting Claremont
Experience with multiple platforms, technologies, and projects in diverse disciplines
Training scholars to re-conceptualize the digital environment
Facilitating digital scholarship, data visualization, and publication
Guiding collaborative, multi-disciplinary projects in a digital space
Building digital repositories and conducting workshops on metadata, copyright, and digitization best practices
Marketing in a university setting
Charting new territory
@Claremont
We need to know about:
How faculty and students use current resources
Users’ “wish lists”
Marketing to point users to resources
Technology trends
Changing copyright and intellectual property laws
Community collaboration
Revenue streams
Challenges Potential Solutions
Embedding libraries in the curriculum Coordinate with departments to train faculty how
to integrate information & digital literacy in their
courses
Capturing & archiving the digital outputs of
research as collection material
Continue to expand the data captured, archived,
and made accessible through
Scholarship@Claremont.
Competition from alternative avenues of
discovery
• Student and faculty instruction
• Developing intuitive and efficient digital
workflows
• Meet users where they’re at – social media,
mobile apps, and integrated searchable
databases (like Sherlock)
• Content tailoring and suggestions for source
discovery
Embracing the need for radical change Work with local government officials, community
and business leaders to stay abreast of
emerging technology trends and form
partnerships to extend library services and
access to technology
Maintaining ongoing integration, interoperability
and collaborative projects
Build strategic partnerships with other libraries
and the OCLC to offer integrated services and
an interoperable system with access to
aggregated sources and resources.
Technology Developments and
ImplicationsTechnology Implications
Electronic Publishing E-publishing workflows, storage
capacity, linking research and digital
publication, as well as software tools to
visualize e-pubs and complex data
Mobile Apps Resource discovery, library orientation,
annotation, and guidance through the
research process
Bibliometrics and Citation
Technologies, including
Altmetrics
Advance the impact of Claremont
scholars’ work to stay on the cutting
edge of research and garner further
funding
Open Content Changing role of librarians in creating
and advising on OER projects (i.e.
selecting & documenting relevant,
credible open content)
Internet of Things Inventory management and UX in real-
time & physical spaces
Semantic Web & Linked
Data
Library catalog metadata need to be
interoperable part of semantic web &