Research Computing and Data (RCD) professionals play a crucial role in supporting and advancing research that involves data and/or computing, however, the potential career paths for RCD professionals are poorly understood making it difficult to find, hire, and retain these essential roles. Many potential RCD professionals are unaware of these roles and how their skills and experience map to RCD roles, and current RCD staff lack resources to create a professional development plan. The CaRCC RCD Career Arcs working group conducted a series of interviews to more deeply explore career choices, influences, and factors that help shape RCD career paths. This poster is the result of our efforts to capture what we learned in a (relatively) simple graphical form.

There is considerable debate around modes of professionalization for the research computing and data (RCD) community. In 2018, credentialing was recommended around three roles (systems facing, software facing, and researcher facing). Reviewing the experience in the profession since 2018 and with new survey data collected in 2022, we provide an expanded set of findings and recommendations addressing career paths, inclusion, professional networks, burnout, community building, and other challenges facing research computing and data professionals. Although there is support for this broader view of professionalization via a professional society, there is also variation in views across the many types of RCD professionals with regard to the desired function of such a society.

The Campus Research Computing Consortium (CaRCC) Staff Workforce Development Interest Group serves to support current Research Computing and Data (RCD) professionals, provide information for people looking to become an RCD professional, and to provide information to institutions looking to establish RCD workforce development programs. The goal of this group is to curate information from existing, successful programs in order to develop leading practices for staff onboarding, training, and development. This paper presents the results of the interest group’s early effort to define the phases of an RCD career from beginning to end, which is the first step in defining a framework and a shared vocabulary to better collect and organize information and resources. The paper defines pre-, early-, mid-, and late- RCD career phases, and activities, as well as the transitions in and out of a phase. The intent is to use these definitions as a basis for future work of the interest group.

Research Computing and Data (RCD) professionals play a crucial role in supporting and advancing research that involve data and/or computing, however, there is a critical shortage of RCD workforce, and organizations face challenges in recruiting and retaining RCD professional staff. It is not obvious to people outside of RCD how their skills and experience map to the RCD profession, and staff currently in RCD roles lack resources to create a professional development plan. To address these gaps, the CaRCC RCD Career Arcs working group has embarked upon an effort to gain a deeper understanding of the paths that RCD professionals follow across their careers. An important step in that effort is a recent survey the working group conducted of RCD professionals on key factors that influence decisions in the course of their careers. This survey gathered responses from over 200 respondents at institutions across the United States. This paper presents our initial findings and analyses of the data gathered. We describe how various genders, career stages, and types of RCD roles impact the ranking of these factors, and note that while there are differences across these groups, respondents were broadly consistent in their assessment of the importance of these factors. In some cases, the responses clearly distinguish RCD professionals from the broader workforce, and even other Information Technology professionals.

We describe the first Research Computing and Data Capabilities Model Community Dataset, aggregating the assessments of 41 Higher Education Institutions. These assessments were completed using the 1.0 version of the Research Computing and Data Capabilities Model (RCD CM), over a period of several months in the Spring and Summer of 2020. The RCD CM allows organizations to self-evaluate across a range of RCD services and capabilities for supporting research, leveraging a shared vocabulary to describe RCD support. The Model supports a range of stakeholders and provides structured input to guide strategic planning and enable benchmarking relative to peer institutions. This Community Dataset provides insight into the current state of support for RCD across the community and in a number of key sub-communities. The dataset shows stark differences between Public and Private institutions, between institutions with a larger and smaller share of national funding, etc. In many cases, the patterns in the data confirm common perceptions about support across the community, but the dataset provides a quantitative baseline for understanding current RCD support, as well as granular insights to groups of institutions that are seeking to collaborate on shared solutions and strategies to advance RCD support. Over time, longitudinal data will provide additional insight into trends, and a means of evaluating the impact of programs designed to increase RCD support.

Research is increasingly dependent upon research computing and data (RCD) infrastructure, services, and most importantly, skilled professionals who can help facilitate researchers’ use of technical resources. RCD professionals regularly co-learn research problems and co-create technical solutions alongside researchers, which is essential in domains new to compute/data-intensive methods. However, the roles of RCD professionals are poorly understood (e.g., relative to traditional/enterprise IT), and recruitment and retention of RCD professionals is challenging, in part due to a lack of clear career paths. Organizations such as the Campus Research Computing Consortium and Campus Champions (among others) have recognized these needs, and are creating products and services that are addressing these challenges. We describe the challenges, some of the progress made to date, and initiatives underway to support the development of a professional RCD workforce and to advance the state of RCD support.

The widespread application and success of computational and data intensive research approaches in every discipline represented on our campuses has resulted in a rapid proliferation of organizations, technologies, and professions affiliated in different ways with the support and advancement of activities related to research computing and data (RCD). While most agree that this growth is helping to advance numerous disciplines, the proliferation of organizations seeking to support, promote, and advance RCD has led to some challenges. Specifically, a lack of understanding and consensus concerning which organizations should be considered a part of RCD support hampers our ability to encourage collaborations among its complementary constituents, leads to unneeded and redundant activities, and makes it difficult to identify strategic priorities and address gaps where specific needs are not being met to advance various disciplinary activities. In this paper we introduce the ecosystem metaphor to help characterize the rapidly changing relationships among the growing set of organizations that in some way support and enable activities related to RCD. The ecosystem concept lends itself well to describing the many entities related to RCD because it emphasizes the larger system over its individual component parts and highlights their interdependence, while explicitly expecting their change over time. Our work to characterize the current RCD ecosystem, while imperfect, will serve as a foundation and framework for the development of a more complete view of the ever-changing RCD ecosystem. A more complete view of the RCD ecosystem will in turn help to advance the broad goals of its members by helping to foster and accelerate new and meaningful collaborations among them.

Research Computing and Data is changing at an accelerating rate, while the range of fields and disciplines depending on the cyberinfrastructure is expanding and becoming increasingly diverse. This poses significant challenges to academic institutions as they try to effectively assess and plan for the necessary support infrastructure to keep pace with the needs of researchers. We present a Research Computing and Data Capabilities Model that identifies the range of relevant approaches to fully support and enable research computing and data on campuses. This model allows institutions to assess their current capabilities, and provides structured input into strategic decision making, using a shared community vocabulary. We describe the background of the Model, key concepts and features of the Model and an associated assessment tool, initial experience in the community and lessons learned, and a roadmap for further development.

The DH-CASE II Workshop, held in conjunction with ACM Document Engineering 2014, focused on the tools and environments that support annotation, broadly defined, including modeling, authoring, analysis, publication and sharing. Participants explored shared challenges and differing approaches, seeking to identify emerging best practices, as well as those approaches that may have potential for wider application or influence.

Island biogeography is fundamental to understanding colonization, speciation and extinction. Remote volcanic archipelagoes represent ideal natural laboratories to study biogeography because they offer a discrete temporal and spatial context for colonization and speciation. The moth genus Hyposmocoma is one of very few lineages that diversified across the entire Hawaiian Archipelago, giving rise to over 400 species, including many restricted to the remote northwestern atolls and pinnacles, remnants of extinct volcanoes. Here, we report that Hyposmocoma is ~15 million years old, in contrast with previous studies of the Hawaiian biota, which have suggested that most lineages colonized the archipelago after the emergence of the current high islands (~5 Myr ago). We show that Hyposmocoma has dispersed from the remote Northwestern Hawaiian Islands to the current high islands more than 20 times. The ecological requirements of extant groups of Hyposmocoma provide insights into vanished ecosystems on islands that have long since eroded.

In this paper, we describe Berkeley Prosopography Services (BPS), a new set of tools for prosopography - the identification of individuals and study of their interactions - in support of humanities research. Prosopography is an example of "big data" in the humanities, characterized not by the size of the datasets, but by the way that computational and data-driven methods can transform scholarly workflows. BPS is based upon re-usable infrastructure, supporting generalized web services for corpus management, social network analysis, and visualization. The BPS disambiguation model is a formal implementation of the traditional heuristics used by humanists, and supports plug-in rules for adaptation to a wide range of domain corpora. A workspace model supports exploratory research and collaboration. We contrast the BPS model of configurable heuristic rules to other approaches for automated text analysis, and explain how our model facilitates interpretation by humanist researchers. We describe the significance of the BPS assertion model in which researchers assert conclusions or possibilities, allowing them to override automated inference, to explore ideas in what-if scenarios, and to formally publish and subscribe-to asserted annotations among colleagues, and/or with students. We present an initial evaluation of researchers' experience using the tools to study corpora of cuneiform tablets, and describe plans to expand the application of the tools to a broader range of corpora.

Digital humanities is rapidly becoming a central part of humanities research, drawing upon tools and approaches from computer science, information organization, and document engineering to address the challenges of analyzing and annotating the growing number and range of corpora that support humanist scholarship.

In this paper, we describe Berkeley Prosopography Services (BPS), a new set of tools for prosopography - the identification of individuals and study of their interactions - in support of humanities research. The BPS tools include 1) functionality to import TEI documents and convert to our data model, 2) a disambiguation engine to associate names to persons based upon configurable heuristic rules, 3) an assertion model that supports flexible researcher curation and tracks provenance, 4) social network analysis and 5) graph visualization tools to analyze and understand social relations, and 6) a workspace model supporting exploratory research and collaboration. We contrast the BPS model that uses configurable heuristic rules to other approaches for automated text analysis, and explain how our model facilitates interpretation by humanist researchers. We describe the significance of our curation model that improves upon traditional curation and annotation as a fact-based model by adding a more flexible model in which researchers assert conclusions or possibilities, allowing them to override automated inference, to explore ideas in what-if scenarios, and to formally publish and subscribe-to asserted annotations among colleagues, and/or with students. We detail the architecture and our implementation of the tools as a set of reusable web services and web application UI. We present an initial evaluation of researchers' experience using the tools to study corpora of cuneiform tablets, and describe plans to expand the application of the tools to a broader range of corpora.

Although aquatic caterpillars are a globally rare lifestyle, we have found them in multiple, independent lineages of the endemic moth genus Hyposmocoma across all of the Hawaiian Islands with flowing water. We formally describe 11 new species of Hyposmocoma that belong to four different larval case types: cone, bugle, medium burrito, and large burrito: Hyposmocoma kahamanoa sp. nov. from Oahu Island, Hyposmocoma kamakou sp. nov. from Molokai Island, Hyposmocoma kahaiao sp. nov., Hyposmocoma waihohonu sp. nov., and Hyposmocoma moopalikea sp. nov. from Maui Island, and Hyposmocoma aumakuawai sp. nov., Hyposmocoma eepawai sp. nov., Hyposmocoma ipowainui sp. nov., Hyposmocoma kawaikoi sp. nov., Hyposmocoma uhauiole sp. nov., and Hyposmocoma wailua sp. nov. from Kauai Island. We also illustrate and describe in detail the aquatic case-bearing larva of Hyposmocoma kahamanoa. Despite having similar ecologies as algae and lichen grazers at and below the water line of streams, prior research indicates that species with each case type constitute an independent lineage, with terrestrial sister taxa, and therefore the different groups of species bearing unique case types each represent an independent aquatic invasion. The case-bearing larvae often occur sympatrically, and on Kauai even species with similar case-types occur together, suggesting complex patterns of speciation and either past periods of isolation or sympatric speciation. Phylogenetic analysis of 2243 base pairs from two nuclear and one mitochondrial gene for 18 species confirm that each species is endemic to a single volcano, and that morphological divergence within case-types has not been dramatic. Diversification has been complex, and superficially similar case type lineages are not all monophyletic. Kauai, the oldest but smallest of the major high islands, supports more species in the aquatic guild than any other island, thus island age, rather than size, may be important in generating diversity in this group. (C) 2011 The Linnean Society of London, Zoological Journal of the Linnean Society, 2011, 162, 15-42. doi: 10.1111/j.1096-3642.2010.00676.x

Hyposmocoma is an endemic Hawaiian moth genus with >330 recognized species occupying a remarkable range of ecological habits and exhibiting a high degree of variation typical of adaptive radiations. Within this diverse genus, some species have evolved intriguing and globally rare lifestyles, such as predatory or aquatic caterpillars. There are still many undescribed species in the genus, and no current work succinctly covers the range of their diversity. We describe nine new species in an attempt to demonstrate some of the remarkable ecological and phenotypic diversity displayed by species in the genus in a concise format: Hyposmocoma carnivora sp. nov. from the island of Hawaii; Hyposmocoma chat sp. nov. Hyposmocoma nohomaalewa sp. nov., and Hyposmocoma waikamoi sp. nov. from the island of Kauai; and Hyposmocoma papaiili sp. nov., Hyposmocoma pukoa sp. nov., Hyposmocoma pupumoehewa sp. nov., Hyposmocoma opuulaau sp. nov., and Hyposmocoma waikamoi sp. nov. from the island of Maui. Although the taxa presented here do not represent a monophyletic group with respect to the rest of Hyposmocoma, they represent some of the most striking aspects of Hyposmocoma diversity as a whole.

Insects are the most diverse form of life on the planet, dominating both terrestrial and freshwater ecosystems, yet no species has a life stage able to breath, feed, and develop either continually submerged or without access to water. Such truly amphibious insects are unrecorded. In mountain streams across the Hawaiian Islands, some caterpillars in the endemic moth genus Hyposmocoma are truly amphibious. These larvae can breathe and feed indefinitely both above and below the water's surface and can mature completely submerged or dry. Remarkably, a molecular phylogeny based on 2,243 bp from both nuclear (elongation factor 1α and carbomoylphosphate synthase) and mitochondrial (cytochrome oxidase I) genes representing 216 individuals and 89 species of Hyposmocoma reveals that this amphibious lifestyle is an example of parallel evolution and has arisen from strictly terrestrial clades at least three separate times in the genus starting more than 6 million years ago, before the current high islands existed. No other terrestrial genus of animals has sponsored so many independent aquatic invasions, and no other insects are able to remain active indefinitely above and below water. Why and how Hyposmocoma , an overwhelmingly terrestrial group, repeatedly evolved unprecedented aquatic species is unclear, although there are many other evolutionary anomalies across the Hawaiian archipelago. The uniqueness of the community assemblages of Hawaii's isolated biota is likely critical in generating such evolutionary novelty because this amphibious ecology is unknown anywhere else.