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Developing an Open Source Digital Scholarship Ecosystem


Abstract and Figures

This research presents elements necessary to develop a Digital Scholarship Research Ecosystem for a university , college or research institution. Software systems, hardware, human resources and timelines are outlined with brief theoretical overviews and a pragmatic focus on 'open-source' (freely available) software, best-in-class applications and global best practices. Major digital scholarly system components in a larger digital ecosystem are discussed: Online Institutional Collection Repositories (D-SPACE), Online Research Data Repositories (DATAVERSE), Identity Management Systems (ORCID), Electronic Thesis and Dissertation Management Systems (VIREO), Academic Journal Systems (OJS3), Digitization Labs, User Interface Software (OMEKA). System assessment, synergistic possibilities and future directions are reviewed. This research arises from a successful five-year phased implementation of such a digital ecosystem for Texas State University Libraries, a large US university research library system. This scholarly ecosystem is suitable for any university, college, research institution or academic research library interested in setting up or building on such an infrastructure and enabling faculty and graduate students with their scholarly research online.
Content may be subject to copyright.
Developing an Open Source
Digital Scholarship Ecosystem
Dr. Ray Uzwyshyn, Ph.D.
Texas State University Libraries
San Marcos, Texas, USA, 78666, 1-512-245-
This research presents elements necessary to develop a
Digital Scholarship Research Ecosystem for a univer-
sity, college or research institution. Software systems,
hardware, human resources and timelines are outlined
with brief theoretical overviews and a pragmatic focus
on open-source (freely available) software, best-in-
class applications and global best practices. Major dig-
ital scholarly system components in a larger digital
ecosystem are discussed: Online Institutional Collec-
tion Repositories (D-SPACE), Online Research Data
Repositories (DATAVERSE), Identity Management
Systems (ORCID), Electronic Thesis and Dissertation
Management Systems (VIREO), Academic Journal
Systems (OJS3), Digitization Labs, User Interface
Software (OMEKA). System assessment, synergistic
possibilities and future directions are reviewed. This
research arises from a successful five-year phased im-
plementation of such a digital ecosystem for Texas
State University Libraries, a large US university re-
search library system. This scholarly ecosystem is suit-
able for any university, college, research institution or
academic research library interested in setting up or
building on such an infrastructure and enabling faculty
and graduate students with their scholarly research
CCS Concepts
Applied computing Education Digital libraries
and archives; Information systems Information re-
trieval → Document representation Document col-
lection models; Applied computing Computers in
other domains Digital libraries and archives; Infor-
mation storage systems → Storage management → In-
formation lifecycle management; Information systems →
Data management systems Database administration
Database utilities and tools.
Digital Libraries; Digital Archives; Digital Scholar-
ship; Information Repositories; Information Retrieval;
Digital Research Collections; Research Data Reposito-
ries; Identity Management Systems; Electronic Thesis
and Dissertation Management Systems; Digitization
Labs; User Interface Software; Open-Source Software;
Open Access Journal Software; Online Academic Jour-
nals; Research Information Systems.
1.1 Overview
In our new millennia, faculty and graduate student
research has quickly migrated online. Infrastruc-
tures are needed to support this new scholarly re-
search cycle. Digital infrastructures may be prof-
itably developed through low-cost open-source
software methods. Components are readily availa-
ble and may be placed together into digital ecosys-
tems, opening synthetic possibility and unique
synergies for dissemination of scholarly research
on previously unparalleled networked and global
scales. The open-source aspects of such ecosys-
tems allow a wider global group of research insti-
tutions to take advantage of such infrastructures’
online possibilities, especially where budgetary
considerations form larger factors. The term dig-
ital ecosystem draws on the language of ecology
to describe and analyze digital scholarly research
systems from vantages that consider component
relationships and how these relationships influ-
ence the larger environment [1]. The concept of a
digital information ecology opens notions of dy-
namics among ecological ideas and properties of
networked, global information environments [2].
This research views the digital information eco-
system as part of a larger ecological whole which
may synergistically function as a digital ecosys-
tem. These new ecosystems situate academic re-
search and new digital artifacts created from re-
search within socially distributed online networks
for discovery and progress in the research enter-
1.2 Rationale and Hypothesis
By systematically organizing graduate students
and university research faculties scholarly output
online, new research synergies are enabled and
processes engendered to create a digital scholarly
ecosystem which may become a standard schol-
arly model for any university, college or research
institution in the 21st century. Placing digital
scholarship components within an ecosystem par-
adigm usefully guides larger evolutionary possi-
bilities for researcher information systems, digital
component development and global human re-
searcher communities. By undertaking a phased
systematic approach to building such systems, we
may better improve access and retrieval possibili-
ties and circulation of research towards new dis-
coveries and insight. Collocating these compo-
nents in larger digital ecosystems may also unearth
unexpected network effects allowing better pro-
gress and efficiency for scholarship and research
in the 21st century.
This section outlines major classes of open-source
scholarly software and hardware components
needed for a digital scholarship research ecosys-
tem. Components are defined in general terms.
Best-in-class open-source examples and source
downloads are given so anyone interested in repli-
cating such a system can do so. All software is
freely available and links to resources are given in
footnotes. Elements necessary to develop a digital
scholarship research ecosystem for a university,
college or research institution are presented. Soft-
ware systems, hardware, human resources and
timelines are outlined with a pragmatic focus on
open-source’ (freely available) software, best-in-
class applications and global best practices. Major
digital scholarly system components in a larger
digital ecosystem are discussed: Online Institu-
tional Collection Repositories (D-SPACE), Online
Research Data Repositories (DATAVERSE),
Identity Management Systems (ORCID), Elec-
tronic Thesis and Dissertation Management Sys-
tems (VIREO), Academic Journal Systems
(OJS3), Digitization Labs and User Interface Soft-
ware (OMEKA) and synergistic possibilities are
Figure 1. Texas State University Digital Scholarship Research
This research arises from a successful five-year
phased implementation of such a digital ecosys-
tem for Texas State University Libraries, a large
US university research library system. This schol-
arly ecosystem is suitable for any university, col-
lege, research institution or academic research li-
brary interested in setting up such an infrastructure
and enabling university faculty and graduate stu-
dents with their scholarly research online.
2.1 Institutional Digital Collections Re-
An online digital collections repository is a digital
infrastructure which provides open access to
scholarship and research produced by a university,
college or research institution. A digital repository
organizes, centralizes, preserves and makes acces-
sible research and knowledge generated by the in-
stitution’s research community. The application
centers on text-based media artifacts including
preprints, faculty publication, white papers, con-
ference presentations, graduate student theses and
dissertations. Research centers within an institu-
tion such as Specialized Research Groups/Centers,
Special Collections and University Archives may
also avail themselves of an institutional reposi-
tory’s possibilities [3]. This digital collection re-
pository gives open web-centric visibility to the
institution’s research output and opens the institu-
tion to the possibilities of a global scholarly net-
worked environment. Texas State University Dig-
ital Collections Repository [4] reconfigures the
originally MIT-developed open-source product,
D-SPACE [5].
Figure 3: DSPACE Media Formats. Texas State Digital
Colletions Repository:
2.2 Online Research Data Repository
Figure 3. Texas State University Dataverse and Research Guide:
Working closely in concert with any institutional
repository is its younger cousin, the online re-
search data repository. A scholarly data research
repository is a data-focused repository where re-
searchers deposit datasets from their research and
experiments. The repository is online and the data
is made available for open public access and re-
use. Each dataset includes citation information
and a DOI (Digital Object Identifier), or UNF
(Universal Numerical Fingerprint), to facilitate at-
tribution and usage tracking [6]. The repository
provides a home to link researchers data directly
to their research publications either in journals,
monographs or online presentations available
from the repository. Data research repositories
play important roles in fulfilling funding require-
ments and providing transparency for ensuring re-
producibility of data to forward the scientific re-
search enterprise. Texas State University recon-
figures Harvard’s Institute for Quantitative Social
Science Dataverse open-source software [7] as
part of a larger Texas consortia universities net-
work [8]. This implementation lends itself to the
added advantage of sharing and collaboration be-
tween geographically co-located academic institu-
tions (22 state research institutions) for
aggregating similar disciplinary data and research
data projects. The application allows researchers
easy collaboration and comparison of results and
data [9].
2.3 Researcher Identity Management
Figure 4: ORCID as Hub Connecting a Researchers Cognitive
Landscape. Texas State University ORCID Research Guide:
With the proliferation of researchers globally, any
digital research ecosystem would do well to utilize
a ‘Researcher Identity Management System to
connect and disambiguate scholars names. These
systems disambiguate common researchers’
names such as James Smith, Maria Hernandez,
Mustafa Abad or Zhang Wei. That is, the system
differentiates the work of James Smith, the MD,
from the astrophysicist, James Smith, or the schol-
arly work of the botanist, Maria Hernandez, from
the biochemist, Maria Hernandez. Both may have
extensive lists of journal publications. An online
‘Research Identity Management System gives a
researcher a contributor ID, a unique number, so
that all publications from a single researcher can
be easily found, linked, organized and aggregated
across multiple information systems.
Texas State utilizes the open-source ORCID sys-
tem [10] to connect and organize unique research-
ers’ publications and disambiguate similarly
named researchers. ORCID ID’s may also be used
to link together a researcher’s entire corpus of pub-
lications and profile, helping researchers better
manage their research environment and providing
authority control for their research corpus [11].
2.4 Thesis & Dissertation Management
An Electronic Thesis and Dissertation Manage-
ment System addresses intermediary steps in the
Electronic Thesis and Dissertation process, bridg-
ing student thesis/dissertation submission with
graduate school review, online publication and
ETD preservation. Texas State University has cus-
tomized and utilizes, VIREO, an open-source mid-
dleware which connects theses, dissertations and
graduate students with the institution’s graduate
school, submission process and university digital
repository [12].
Figure 6: Vireo 4.0 Release:
Through VIREO, a student’s thesis or dissertation
is seamlessly transferred to the university institu-
tional repository for preservation and access and
searchability on the internet [13]. The more im-
mediate online publication of graduate student re-
search enables access to research worldwide with
indexing metadata and efficient retrieval of
research. This immediate accessibility also pro-
vides a leg up for students as they move forward
from graduate school to research academic related
2.5 User Interface Software
As digital projects become more demanding and
specialized, user interface software becomes a re-
quirement to provide both an elegant portal or
gateway entrance to specialized research projects
and a necessary middleware to seamlessly connect
the various software and media components men-
tioned above. For raising the quality of online ex-
hibitions to research portals utilizing the digital
and data repositories, Texas State University Li-
braries uses OMEKA [14].
Figure 7: OMEKA S, next generation Web publishing Plat-
OMEKA is a flexible open-source web-publishing
platform allowing streamlining of the front end of
larger research projects, scholarly collections and
special center scholarly research. The software
can connect to an institutional repository and data
repository for linkages to text, image, media col-
lections and datasets [15]. For more advanced im-
aging and image-centered projects, specialized
software such as the International Image Interop-
erability Framework (IIIF) may be used [16]. This
framework allows progressive image download
and magnified zooming for ultra high-resolution
images ranging from art history-based research to
cellular biology, pulmonary pathology and manu-
script research. Any research scholarship,
predicated on the need for rich access to high-res-
olution image-based resources, may usefully take
advantage of this tool. With this tool geograph-
ically dispersed collections may be digitized, ag-
gregated and hosted for scholars online for consul-
tation and work with these high-resolution arti-
facts and manuscripts regardless of physical loca-
tion globally [17].
2.6 Academic Journal & Conference
An integral part of a digital scholarly ecosystem is
the option for a university department or special-
ized research center to have its own online re-
search journal and access to conference/colloquia
management software. Texas State utilizes Open
Journal Systems (OJS 3), a freely available soft-
ware for the management and creation of peer-re-
viewed academic journals [18].
Figure 8: Open Journal systems OJS 3.
Public Knowledge Project
Open Journal Systems enables faculty editorial
workflows for the open-access academic journal
publication process from article submission and
assigning referee review to metadata and indexing
[19] and later, online publication. Texas State
University hosts OJS3 through the Texas Digital
Library, a consortium of 22 Texas University Li-
braries so that these research journals may also be
easily aggregated and organized [20]. While be-
yond the scope of this paper, web-publishing tools
are also available to create online infrastructures
for scholarly conference and colloquia. These dig-
ital systems allow the creation of academic confer-
ence websites, from automation of presentation
and article submission to organizing conference
proceedings for search and retrieval [21].
Figure 9: Texas State University Digitization Lab:
As university faculty, departmental and research
center projects become more complex, specialized
digitization equipment and staff facilitation will be
needed. This ranges from more robust photo-
graphic digitization equipment to audio and video
digitization equipment to high volume scanning
equipment. A digitization lab will also be useful
for historical analog media formats. This ranges
from archival manuscript digitization and various
textual documents to previous era’s audio and
video formats and larger project, more rapid text
and image digitization needs (i.e. rapid text and
slide scanners, large format newspaper scanners,
etc.). While a full discussion of this hardware is
beyond this paper’s scope, an overview of basic
types of basic equipment needed and further links
to projects possible is provided on the Texas State
Digital and Web Services Site [22].
The above-described digital scholarly ecosystem
may appear daunting to set up. This does not have
to be, if a phased implementation with measured
benchmarks process is followed. Research institu-
tions will be at various levels of development for
such ecosystems. It is best to start simply or con-
tinue from where an institution currently stands
and build strong digital foundations from there. If
starting from scratch, start simply by setting up an
online digital institutional repository (D-SPACE).
Populating the content of this repository may
begin with local faculty and departmental research
papers, preprints and graduate student theses and
dissertations. Once initial workflows are operating
well and faculty and student demand rising, a user
interface application, such as OMEKA, can be
added and larger image/text-based research con-
tent projects may be tried. Faculty and research
centers will request more complex projects as ini-
tial projects are successfully completed. Depend-
ing on an institution’s orientation, a multimedia
equipment direction (see section 2.5 Digitization
Lab) or, alternatively, data-oriented direction (see
section 2.2 Data Repository) may also be pursued.
After these applications have been launched and
this workflow infrastructure realized, projects
connecting institutional repository, data repository
and user interface applications may be piloted to
begin to explore synergies and more complex pos-
sibilities. If the institution is in possession of a
graduate school, VIREO ETD middleware may be
pursued earlier in the benchmarking process, con-
necting graduate school, students and digital re-
pository. Increasingly, theses and dissertations
rely on voluminous datasets, so it is beneficial if a
data repository and institutional repository are set
up closer together. An online academic journal
system may also be added at this time working out
connections and administrative editorial responsi-
bilities with faculty groups.
Once all these major components are functioning
well together, more advanced hardware may be
added to the digitization lab.
Figure 10: International Image Interoperability Framework.
Higher level imaging software may be pursued
(i.e. IIIF Framework) if projects warrant. Farther
afield, more leading-edge R&D connections may
also be prototyped to build out the digital ecosys-
tem’s possibilities. These connections range from
adding a university library GIS specialist and tying
‘cognitive mapping’ possibilities to digital re-
search and data, to enabling data and research
through data visualization and machine-learning
possibilities. A good goal trajectory may be
planned along a one to five-year phased timeline
for getting the infrastructure outlined above
started. Benchmarking implementations and mile-
stones should follow a phased project manage-
ment program [23], with easy wins, as the com-
plexity of systems deepens.
As with any larger IT project, dedicated human re-
sources will be needed. It is best to develop such
project teams so that there is a partnership between
the university’s libraries and the university’s IT di-
vision. A system administrator will be needed to
set up the open-source server infrastructure (i.e.
LAMP: Linux, Apache, MySQL, PHP and Mi-
crosoft) for software beginning with the institu-
tional repository unless hosted options are pursued
Figure 11: LAMP open source server set up, archetypal model
of web server stacks.
A Digital Collections Librarian will be needed for
day-to-day administration, marketing and user-
support of the repository. A Metadata Librarian,
or expert versed in various specialized academic
metadata schema or, at the least, Dublin Core [25],
will ensure accessibility for efficient search and
retrieval and search engine optimization of all re-
search that will be placed online. The Digital Col-
lections Librarian may also double as the Data Re-
pository/Open Journal administrator/faculty liai-
son and Online Researcher ID system support as
these are set up. These duties will more than en-
compass a full-time employees time. As demand
grows, these positions may be divided into two or
three. Once the User Interface Application
(OMEKA) has been set up and these research
scholarship projects begin, a dedicated project
manager, with the PMP certification (Project Man-
agement Professional) will be useful to manage a
growing projects list and faculty/graduate student
projects which require facilitation [23]. As the
breadth of material increases, a digitization spe-
cialist will also be needed to run a digitization lab
as scholarly digitization needs increase. This pro-
ject manager will also coordinate workflows
among various stakeholders as the list of projects
and staff increases. As demands and project com-
plexity increases, further positions may be added.
For later phases, a Collections Analytics and Data
Visualization Specialist can enable insight into ac-
ademics and graduate students’ data research col-
lections. A GIS Specialist can enable faculty and
students with GIS possibilities for their research.
An extra programmer will also be useful to inte-
grate connections among the digital systems’
evolving component ecology with API’s of leg-
acy, existing and new university systems.
As the system matures, more complex ecosystem
synergies will naturally arise. Metcalfe’s law
states that the systemic value of compatibly com-
municating components grows as the square of
their number increases.
Figure 12: Metcalfe’s Law (1993). The Value of Compatibly
Communicating Components.
Collocating digital components in a networked re-
search ecosystem enables connections and larger
network effects. Research papers in the digital
collection repository may be customized to link
with associated datasets in the data repository.
Dissertations and theses housed in the collections
repository may be associated with datasets in the
research data repository. The Data repository
(Dataverse) can be configured as an individual in-
stance or as a consortial model. Once a paper is
published through the Open Journal Systems
online journal, the associate dataset and anteced-
ent thesis/dissertation may be referenced directly
through the data repository and digital collections
repository. All papers/data and other intellectual
output of a researcher may then be aggregated
through a researcher profile found through the
identity management system. All of these offer a
paradigm shift for research efficiency and effi-
cacy. This digital ecosystem increases systemic
value exponentially allowing easy online search,
retrieval, aggregation and organization of aca-
demic research on global levels. Through struc-
tured metadata schema application, search engine
optimization is achieved for higher level
accessibility. Through the digital collections and
data repositories, online research may be naturally
linked with associated primary research data on
faculty and graduate research levels. Entire re-
search corpora may be easily aggregated through
the online identity management system providing
additional connective threads among systems.
Multimedia websites and portals with robust
backend storage also become possible with the
user interface software and digitization lab for
next level online research possibilities [26]. All
may also be referenced directly through open ac-
cess online journal options, a next stage of global
scholarly communications. Complex networks
here become possible among collaborators, stake-
holders, staff, faculty, students, research
workgroups and teams. Digital scholarship eco-
systems are in their infancy but with manifold pos-
sibility. Prospects are rich and, yet, largely unex-
plored for future development potential and fur-
ther synergies with research scholarship and tech-
nology. New connections and intuitions should be
pursued to empower researchers and research on
global networked scales and, as yet, unseen di-
The core scholarly research ecosystem outlined
above was developed and implemented for Texas
State University Libraries, 2014-2019. The sys-
tem grew organically and utilized a variety of
open-source digital scholarship components. This
ecosystem ultimately consisted of Online Institu-
tional Collection Repository (D-SPACE), Online
Research Data Repository (DATAVERSE), Iden-
tity Management Systems (ORCID), Electronic
Thesis and Dissertation Management Systems
(VIREO) and Academic Journal Systems (OJS3).
The larger ecosystem is currently utilized success-
fully by research faculty and graduate students
daily and has been continually assessed through
biannual LibQUAL qualitative surveys, 2015-
2019, and annual statistical reports (See Table 1).
System usage patterns, downloads, ORCID ID
adoption and open-source new academic journal
development have shown continual growth [27].
Table 1: Texas State University Digital Scholarship
Ecosystem Annual Growth
Hosted Journals
Metaphors of ecological diversity and evolution
are key for the health of any digital research infor-
mation ecology. Digital scholarly ecosystems fo-
cus attention on relationships among technological
tools, researchers, research and practices. The eco-
system presently described may be scaled from
university to consortial to state, national and inter-
national levels. Laterally, disciplinary and inter-
disciplinary directions for digital scholarly ecosys-
tems are also possible. Here, the concept of local
information ecologies and networks of relation-
ships involves active participation and practices of
researchers engaged in the research process [28].
Concepts of interpenetration, interdisciplinarity
and cross-fertilization of ideas among researchers
should be embedded on application levels. En-
hancing social network possibilities are fertile di-
rections to augment the present ecosystem de-
scribed. Much of the research system infrastruc-
tures overviewed herein also asks for next levels
of application of data visualization and machine
learning, especially with regards to the data repos-
itory and institutional digital collections
repository. The application of these possibilities
can provide further layers of insight and paths of
connectivity among disparate bodies of research.
There is a much room for connecting a wider range
of currently unconnected global research institu-
tions into these open-source digital research eco-
system paradigms on local, consortial or other lev-
els. Possibilities are manifold.
Setting up a Digital Scholarly Research Ecosys-
tem should be an imperative for any research in-
stitution globally in the 21st century. These are no
longer optional in our globally connected village
but core to the academic research enterprise - pre-
sent and future. By taking a phased, project man-
agement approach, any institution can be success-
ful in building such infrastructures, enabling their
faculty, students and institution on a global stage
and, hopefully, building on and improving the dig-
ital scholarly research ecosystem presented in this
research model.
I wish to acknowledge and thank my colleagues,
employees and administration at Texas State Uni-
versity Libraries without whom none of these in-
frastructures would have been possible: University
AVP and University Librarian Joan Heath, Todd
Peters, Laura Waugh, Misty Hopper, Ginger Wil-
liams, Jeremy Moore, Jason Long, Erin Mazzei,
Mary Aycock, Gina Watts, Stephanie Larrison,
Nathanial Dede-Bamfo, The Wittliff Collections
staff and director, David Coleman, and University
Archivist, Kris Toma, Texas State University Ar-
chives. I would also like to acknowledge the schol-
ars, research faculty and graduate students who
continue to contribute to the content of our digital
ecosystem and utilize these infrastructures daily.
[1] Nardi, B. and O’Day V. 1999. Information Ecologies.
MIT Press, Cambridge, Mass.
[2] Davenport, T. Information Ecology: Mastering the In-
formation and Knowledge Environment. 1997. Oxford
University Press, Oxford.
[3] Texas State University. 2019. Digital Collection Re-
pository Communities. Retrieved from
[4] Texas State University Libraries. 2019. What is Texas
State University’s Digital Collections Repository? Re-
trieved from
[5] Lyrasis Duraspace. 2019. DSPACE website and Down-
load. Retrieved from
[6] Uzwyshyn, R. 2016. Research Data Repositories: The
What, When, Why and How. Computers in Libraries
(April 2016). Retrieved from http://www.infoto-
[7] Harvard Institute for Quantitative Social Science. 2019.
The Dataverse Project. Retrieved from
[8] Texas Digital Library. 2019. Texas State University
Data Research Repository. Retrieved from
[9] Uzwyshyn, R. 2018. Research Data Repositories: De-
veloping and Implementing Infrastructures for Institutional
and Consortial Environments [PPT presentation]. Coali-
tion for Networked Information Biannual Conference. San
Diego, CA. April 12-13, 2018. Retrieved from:
[10] ORCID. 2019. ORCID: Connecting Research and Re-
searchers. Retrieved from
[11] Texas State University Libraries. 2019. Developing a
Researcher Profile & Managing Your Research Environ-
ment: ORCID. Retrieved from:
[12] GITHUB. 2019. VIREO 4: Github Download. Re-
trieved from
[13] Texas State University Graduate College. 2019. The-
sis & Dissertation Information. Retrieved from:
[14] Roy Rosenzweig Center for History and New Media.
2019. OMEKA Website and Source Code Download. Re-
trieved from
[15] Texas State University Wittliff Collections. 2019. The
Making of Severo Perez’s And the Earth Did not Swallow
Him (OMEKA Example). Retrieved from:
[16] IIIF Consortium. 2019. International Image Interoper-
ability Framework. Retrieved from
[17] Texas State University Wittliff Collections. 2019.
Cabeza de Vaca Digital Library (IIIF Viewer Example).
Retrieved from:
[18] Public Knowledge Project. 2019. Open Journal Sys-
tems. Retrieved from
[19] Texas Digital Library. 2019. Journal of College Aca-
demic Support Programs (OJS3 Example). Retrieved from:
[20] Texas Digital Library. 2019. Open Access Journals.
2019. Retrieved from:
[21] Public Knowledge Project. 2019. Open Conference
[22] Texas State University Libraries. 2019. Digital and
Web Services Equipment and Projects. Retrieved from
[23] Uzwyshyn, R. 2012. Can We Get Some Order Here?
The Application of Principles of IT Project Management
for Online Library Projects. APUS Internal Whitepaper.
Retrieved from
[24] Duraspace. 2019. Hosted DSpace. Retrieved from:
[25] American Society of Information Science and Tech-
nology. 2019. Dublin Core Metadata Initiative and Stand-
[26] Texas State University Libraries. 2019. For example:
Cabeza de Vaca IIIF Digital Manuscript Archive
National Tour of Texas Multimedia Archive
Severo Perez’s The Earth Did Not Swallow Them Multimedia Ar-
University Pedagogs Digital Library
Santiago Tafolla Online Manuscript Digitization
Texas State University Bobcat Flickr Commons
[27] Texas State University Libraries. 2019. LibQUAL+
Survey Presentation (ppt.) and Annual Reports: 2014-2019.
Texas State University Internal Documents
[28] Nardi, B and O’Day, V. 1999 Information Ecologies:
Using Technology with Heart. First Monday. Retrieved
Full-text available
Online networked data research repositories allow sharing and archiving of research data for open science and global research. This sharing opens data to modern interoperability and metadata for search, retrieval, and larger possibilities of open scholarly research ecosystems and foundational AI infrastructure. Data research repositories are currently being leveraged to accelerate global research, promote international collaboration, and innovate on levels previously thought impossible. Research data repositories may also link data to further content from online publications and other digital communication and aggregation tools. This article pragmatically overviews such a data and content-centered ecosystem at Texas State University Libraries in the United States. The research then discusses the ecosystem's next level of planning and construction involving both bigger data possibilities for AI infrastructures\enabling researchers and their data towards Deep Learning (Neural Net) possibilities. The research uses examples of recent digitized medical image datasets for Cancer/melanoma detection through Deep Learning/Neural Net for global open science possibilities. These methodologies show large promise in making good use of online open data repositories, digital library ecosystems and online datasets. Recent AI research highlights the utility of several easily available online open-source digital library data repository and ecosystem components. An online data-centered research ecosystem accelerates open science, research and discovery on global levels. This open-source ecosystem and software infrastructure may be easily replicated by research institutions. Creating open online data infrastructures for research communities enables future global data and research, collaboration and the advancement of science, the academic research cycle on networked global levels.
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This research overviews methodologies for building new AI services within the 'third interdisciplinary space' of the academic library, utilizing pragmatic steps taken by Texas State University Libraries, USA. Data-centered steps for setting up digital scholarly research ecosystem infrastructure are reviewed. Setting needed data-centered groundwork for library AI services enables research, data and media towards wider global online AI possibilities. Library AI external scholarly communications infrastructures and services are discussed as well as educational methodologies involving incremental steps for foundational AI scaffolding. Pathways from data collection to data cleaning, analytics and data visualization to AI applications are clarified and preliminary focused steps needed are forwarded to move library staff, research faculty and graduate students towards these new AI possibilities. Data-centered ecosystems, retooling and building on present library staff expertise as well as Data research repositories, algorithmic and programmatic literacy are recommended for later AI possibilities. Preliminary AI library working groups and R&D prototype methodologies for scaling up future library services and human resource infrastructures are considered. Recommended emergent pathways are prescribed to create library AI infrastructures to better prepare for a currently occurring global AI paradigm shift.
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In Fall 2017, Texas State University Libraries launched the Texas State Research Data Repository as part of the Texas Digital Library statewide consortial Data Repository. This presentation overviews development, implementation and infrastructure considerations for any institution or consortia thinking about venturing down online research data repository paths and open access research data. The Texas Data repository innovatively leverages and customizes Harvard’s Dataverse for a consortial university environment. This presentation overviews research data repositories, technology considerations and how institutions can pragmatically think about implementing a data repository from working model perspectives. The session will survey the current landscape including types of repositories, needed external partnerships, HR infrastructures and future synergies with other academic library technology infrastructures. This presentation will also provide a framework for overviewing possible service models, repository architectures and wider perspectives, possibilities and challenges with regards to data repositories through the pragmatic example of the Texas State University Data repository.
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This article pragmatically reviews possibilities for development and implementation of online data research repositories for universities and research environments: what they are, why they are needed, how to implement them and recommended timelines and possibilities for software infrastructure development. Article and further links:
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As we enter the second decade of the 21st century, our society and institutions have become increasingly techno-centric. Academic libraries are no exception to this paradigm shift with an increasing range of complex IT implementation expectations through rosters of IT projects. To handle both new IT implementation and ongoing integration demands of these complex systems, a more structured application of principles of IT project management are needed. From its inception, project management was necessarily recognized as a distinct discipline requiring managers with specialized skillsets and the desire to lead disparate stakeholders in multi-disciplinary project teams. This research explores an innovative line of application of 21st century IT project management principles for online library projects. It focuses particularly on the logistics and specificity of project management needs that online library projects more desperately need.
Information Ecologies
  • B Nardi
  • V O'day
Nardi, B. and O'Day V. 1999. Information Ecologies. MIT Press, Cambridge, Mass.
DSPACE website and Download
  • Lyrasis Duraspace
Lyrasis Duraspace. 2019. DSPACE website and Download. Retrieved from
Cabeza de Vaca Digital Library (IIIF Viewer Example)
Texas State University Wittliff Collections. 2019. Cabeza de Vaca Digital Library (IIIF Viewer Example). Retrieved from: [18] Public Knowledge Project. 2019. Open Journal Systems. Retrieved from
International Image Interoperability Framework
  • Iiif Consortium
IIIF Consortium. 2019. International Image Interoperability Framework. Retrieved from
ORCID: Connecting Research and Researchers
  • Orcid
ORCID. 2019. ORCID: Connecting Research and Researchers. Retrieved from