Producing Data, Producing Software: Developing a Radio Astronomy Research Infrastructure

Paine, Drew; Lee, Charlotte P.

doi:10.1109/escience.2014.41

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…The second EoR pipeline accomplishes the same type of tasks but is implemented in a different way and was outside the scope of our study. Each pipeline is designed to exchange a variety of data products [47,48] so that scientific methodological decisions and software functionality can be compared to achieve rigorous data analyses. Data products encapsulate observation data that is transformed through different pieces of software, capturing and portraying different scientific decisions.…”

Section: The Focus Of Our Inquiry: the Us Eor Pipeline Softwarementioning

confidence: 99%

“…Memos describing emerging concepts were written and shared with our research group to guide our ongoing data collection. Early findings were disseminated through publications as well [47][48][49]. Germane to this paper is that the collaborative use of plots emerged prominently in our meeting observations-and in our multiple rounds of interviews were continually used by members of the Radio group to explain the science, their software, the telescope, and so on.…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…At this point in time Brianna did not know whether the line was from an instrument systematic captured in the data or a systematic stemming from how a piece of the software was written (looking at Figure 2's center column above, three horizontal yellow lines are visible and expected among the solid blue-green area, a fourth unexpected line appeared in this case). This became known as the "fourth line bug" or systematic [47,48]. This emergent systematic appearing in the 2D power spectrum plots necessitated that the Radio group work to disentangle relationships among their scientific phenomena, instrument, software, and practices through these tests-elements embedded in myriad ways across multiple layers of infrastructural components.…”

Section: Pre-print In Advance Of Publication In the Acm Digital Librarymentioning

confidence: 99%

See 2 more Smart Citations

"Who Has Plots?"

Paine

Lee

2017

Proc. ACM Hum.-Comput. Interact.

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Centered Design and EngineeringSoftware is an integral element of the work of science yet it is not commonly an object of inquiry in studies of scientific infrastructures. This paper presents findings from an ethnographic study of a cosmology group's collaborative scientific software production. We demonstrate how these cosmologists use plots to simultaneously test their software and analyze data while interrogating multiple layers of infrastructural components. We broaden perspectives on scientific software development using a sociotechnical, software studies lens to examine this work of scientific discovery as a creative and embodied, yet exacting and methodical, activity that requires a 'human in the loop'. We offer a new reading of scientific software practices to convey how creating scientific software is often really the act of doing science itself-an intervention we believe is necessary to more successfully support scientific software sharing and infrastructure production. CCS Concepts• Human-centered computing~Computer supported cooperative work • Human-centered computing~Ethnographic studies • Human-centered computing~Scientific visualization • Applied computing~Astronomy

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Section: The Focus Of Our Inquiry: the Us Eor Pipeline Softwarementioning

confidence: 99%

Section: Data Collection and Analysismentioning

confidence: 99%

Section: Pre-print In Advance Of Publication In the Acm Digital Librarymentioning

confidence: 99%

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"Who Has Plots?"

Paine

Lee

2017

Proc. ACM Hum.-Comput. Interact.

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“…Scientific cyberinfrastructures are designed to support collaborative science among multiple research contexts. A great many scholars in the eScience and Computer Supported Cooperative Work (CSCW) communities have investigated how CIs are implemented [5][6][7], but in order to accomplish their goal of supporting science, a CI's virtual organization must endure over time [8,9]. Simply building systems or sets of resources will not result in success.…”

Section: Introductionmentioning

confidence: 99%

Educational Outreach & Stakeholder Role Evolution in a Cyberinfrastructure Project

Randall

Paine

Lee

2018

2018 IEEE 14th International Conference on E-Science (E-Science)

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Over the last several years, a growing body of work has examined the nature of large-scale virtual organizations for data-intensive cooperative science. These projects, known as Cyberinfrastructures (CI) in the United States, are established realms of inquiry for the eScience and Computer Supported Cooperative Work (CSCW) communities. Scholarship in these communities extends technology focused inquiries to investigate the sociotechnical concerns to such infrastructure creation and maintenance. In this paper we present findings from our qualitative study of a federated cyberinfrastructure organization known as GENI. We contribute to this body of scholarship by investigating how stakeholders in the GENI project position existing, and newly created, resources for use in educational settings. We examine how stakeholders acquaint new potential stakeholders with this CI in order to draw them into the community, and the ways in which stakeholder's roles evolve over time. Our findings illustrate several ways stakeholders leverage and align existing relationships and resources to expand the CI project's user base. Finally, this paper suggests avenues of further inquiry and implications for organizing future CI projects.

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“…Software is one of many activities that scientists undertake driven by knowledge acquisition needs (Kelly, 2015). Code is co-produced with data, as a coupled articulation of scientific expectations and assumptions (Paine and Lee, 2014). Doing the work of making software a re-usable resource is a secondary, socially-motivated concern (Trainer et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Deliberate Individual Change Framework for Understanding Programming Practices in four Oceanography Groups

Kuksenok

Aragón

Fogarty

et al. 2017

Comput Supported Coop Work

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Computing affects how scientific knowledge is constructed, verified, and validated. Rapid changes in hardware capability, and software flexibility, are coupled with a volatile tool and skill set, particularly in the interdisciplinary scientific contexts of oceanography. Existing research considers the role of scientists as both users and producers of code. We focus on how an intentional, individually-initiated but sociallysituated, process of uptake influences code written by scientists. We present an 18month interview and observation study of four oceanography teams, with a focus on ethnographic shadowing of individuals undertaking code work. Through qualitative analysis, we developed a framework of deliberate individual change, which builds upon prior work on programming practices in science through the lens of sociotechnical infrastructures. We use qualitative vignettes to illustrate how our theoretical framework helps to understand changing programming practices. Our findings suggest that scientists use and produce software in a way that deliberately mitigates the potential pitfalls of their programming practice. In particular, the object and method of visualization is subject to restraint intended to prevent accidental misuse.

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Producing Data, Producing Software: Developing a Radio Astronomy Research Infrastructure

Cited by 8 publications

References 16 publications

"Who Has Plots?"

"Who Has Plots?"

Educational Outreach & Stakeholder Role Evolution in a Cyberinfrastructure Project

Deliberate Individual Change Framework for Understanding Programming Practices in four Oceanography Groups

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