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More edits based on comments from AJC.
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10 changes: 8 additions & 2 deletions _metadata.yml
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Expand Up @@ -9,12 +9,18 @@ authors:
- name: Vani Mandava
affiliation: University of Washington
roles: writing
corresponding: true
orcid: 0000-0003-3592-9453
- name: Nicoleta Cristea
affiliation: University of Washington
roles: writing
corresponding: true
orcid: 0000-0002-9091-0280
- name: Anshul Tambay
affiliation: University of Washington
roles: writing
orcid: 0009-0004-9010-1223
- name: Andrew J. Connolly
affiliation: University of Washington
roles: writing
orcid: 0000-0001-5576-8189

bibliography: references.bib
169 changes: 169 additions & 0 deletions references.bib
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@MISC{Van-Tuyl2023-vp,
title = "Hiring, managing, and retaining data scientists and Research
Software Engineers in academia: A career guidebook from {ADSA}
and {US}-{RSE}",
author = "Van Tuyl, Steve (ed )",
doi = {https://doi.org/10.5281/zenodo.8329337},
url = {https://zenodo.org/records/8329337},
abstract = "The importance of data, software, and computation has long been
recognized in academia and is reflected in the recent rise of job
opportunities for data scientists and research software
engineers. Big data, for example, created a wave of novel job
descriptions before the term Data Scientist (DS) was widely used.
And even though software has become a major driver for research
(Nangia and Katz, 2017), Research Software Engineer (RSE) as a
formal role has lagged behind in terms of job openings,
recognition, and prominence within the community. Despite their
importance in the academic research ecosystem, the value of DS
and RSE roles is not yet widely understood or appreciated in the
academic community, and research data, software, and workflows
are, in many domains, still regarded as by-products of research.
Data Scientists and Research Software Engineers (DS/RSEs) face
similar challenges when it comes to career paths in academia -
both are non-traditional academic professions with few incentives
and a lack of clear career trajectories. This guidebook presents
the challenges and suggestions for solutions to improve the
situation and to reach a wide community of stakeholders needed to
advance career paths for DS/RSEs.",
year = 2023,
keywords = "data science; research software engineering; career guidebook"
}


@ARTICLE{Adler-Milstein2017-id,
title = "Information blocking: Is it occurring and what policy strategies
can address it?",
author = "Adler-Milstein, Julia and Pfeifer, Eric",
journal = "Milbank Q.",
publisher = "John Wiley \& Sons, Ltd",
volume = 95,
number = 1,
pages = "117--135",
abstract = "Policy Points: Congress has expressed concern about electronic
health record (EHR) vendors and health care providers knowingly
interfering with the electronic exchange of patient health
informatio...",
month = mar,
year = 2017,
keywords = "electronic health records; health policy; incentives;
interoperability",
language = "en"
}

@ARTICLE{Barker2024-ox,
title = "A national survey of digital health company experiences with
electronic health record application programming interfaces",
author = "Barker, Wesley and Maisel, Natalya and Strawley, Catherine E and
Israelit, Grace K and Adler-Milstein, Julia and Rosner, Benjamin",
journal = "J. Am. Med. Inform. Assoc.",
publisher = "Oxford Academic",
volume = 31,
number = 4,
pages = "866--874",
abstract = "OBJECTIVES: This study sought to capture current digital health
company experiences integrating with electronic health records
(EHRs), given new federally regulated standards-based application
programming interface (API) policies. MATERIALS AND METHODS: We
developed and fielded a survey among companies that develop
solutions enabling human interaction with an EHR API. The survey
was developed by the University of California San Francisco in
collaboration with the Office of the National Coordinator for
Health Information Technology, the California Health Care
Foundation, and ScaleHealth. The instrument contained questions
pertaining to experiences with API integrations, barriers faced
during API integrations, and API-relevant policy efforts.
RESULTS: About 73\% of companies reported current or previous use
of a standards-based EHR API in production. About 57\% of
respondents indicated using both standards-based and proprietary
APIs to integrate with an EHR, and 24\% worked about equally with
both APIs. Most companies reported use of the Fast Healthcare
Interoperability Resources standard. Companies reported that
standards-based APIs required on average less burden than
proprietary APIs to establish and maintain. However, companies
face barriers to adopting standards-based APIs, including high
fees, lack of realistic clinical testing data, and lack of data
elements of interest or value. DISCUSSION: The industry is moving
toward the use of standardized APIs to streamline data exchange,
with a majority of digital health companies using standards-based
APIs to integrate with EHRs. However, barriers persist.
CONCLUSION: A large portion of digital health companies use
standards-based APIs to interoperate with EHRs. Continuing to
improve the resources for digital health companies to find, test,
connect, and use these APIs ``without special effort'' will be
crucial to ensure future technology robustness and durability.",
month = apr,
year = 2024,
keywords = "application programming interface; digital health; electronic
health record; industry",
language = "en"
}

@ARTICLE{Gillon2024-vu,
title = "{ODIN}: Open Data In Neurophysiology: Advancements, Solutions
\& Challenges",
author = "Gillon, Colleen J and Baker, Cody and Ly, Ryan and Balzani,
Edoardo and Brunton, Bingni W and Schottdorf, Manuel and
Ghosh, Satrajit and Dehghani, Nima",
journal = "arXiv [q-bio.NC]",
abstract = "Across the life sciences, an ongoing effort over the last 50
years has made data and methods more reproducible and
transparent. This openness has led to transformative insights
and vastly accelerated scientific progress. For example,
structural biology and genomics have undertaken systematic
collection and publication of protein sequences and
structures over the past half-century, and these data have
led to scientific breakthroughs that were unthinkable when
data collection first began. We believe that neuroscience is
poised to follow the same path, and that principles of open
data and open science will transform our understanding of the
nervous system in ways that are impossible to predict at the
moment. To this end, new social structures along with active
and open scientific communities are essential to facilitate
and expand the still limited adoption of open science
practices in our field. Unified by shared values of openness,
we set out to organize a symposium for Open Data in
Neuroscience (ODIN) to strengthen our community and
facilitate transformative neuroscience research at large. In
this report, we share what we learned during this first ODIN
event. We also lay out plans for how to grow this movement,
document emerging conversations, and propose a path toward a
better and more transparent science of tomorrow.",
month = jul,
year = 2024,
archivePrefix = "arXiv",
primaryClass = "q-bio.NC"
}

@INCOLLECTION{Hermes2023-aw,
title = "How can intracranial {EEG} data be published in a standardized
format?",
author = "Hermes, Dora and Cimbalnek, Jan",
booktitle = "Studies in Neuroscience, Psychology and Behavioral Economics",
publisher = "Springer International Publishing",
address = "Cham",
pages = "595--604",
abstract = "Sharing data or code with publications is not something new and
licenses for public sharing have existed since the late 20s
century. More recent worldwide efforts have led to an increase in
the amount of data shared: funding agencies require that data are
shared, journals request that data are made available, and some
journals publish papers describing data resources. For
intracranial EEG (iEEG) data, considering how and when to share
data does not happen only at the stage of publication. Human
subjects’ rights demand that data sharing is something that
should be considered when writing an ethical protocol and
designing a study before data are collected. At that moment, it
should already be considered what levels of data will be
collected and potentially shared. This includes levels of data
directly from the amplifier, reformatted or processed data,
clinical information and imaging data. In this chapter we will
describe considerations and scholarship behind sharing iEEG data,
to make it easier for the iEEG community to share data for
reproducibility, teaching, advancing computational efforts,
integrating iEEG data with other modalities and allow others to
build on previous work.",
year = 2023,
language = "en"
}


@ARTICLE{Hanisch2015-cu,
title = "The Virtual Astronomical Observatory: Re-engineering access to
astronomical data",
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12 changes: 6 additions & 6 deletions sections/01-introduction.qmd
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Expand Up @@ -30,7 +30,7 @@ non-profit organization that was founded in the 1990s developed a set of
guidelines for licensing of OSS that is designed to protect the rights of
developers and users. On the technical side, tools such as the Git Source-code
management system support complex and distributed open-source workflows that
accelerate, streamline, and robustify OSS development. Governance approaches
accelerate, streamline, and make OSS development more robust. Governance approaches
have been honed to address the challenges of managing a range of stakeholder
interests and to mediate between large numbers of weakly-connected individuals
that contribute to OSS. When these social and technical innovations are put
Expand All @@ -44,9 +44,9 @@ Data and metadata standards that use tools and practices of OSS ("open-source
standards" henceforth) reap many of the benefits that the OSS model has
provided in the development of other technologies. The present report explores
how OSS processes and tools have affected the development of data and metadata
standards. The report will triangulate common features of a variety of use
cases; it will identify some of the challenges and pitfalls of this mode of
standards development, with a particular focus on cross-sector interactions;
and it will make recommendations for future developments and policies that can
help this mode of standards development thrive and reach its full potential.
standards. The report will survey common features of a variety of use cases; it
will identify some of the challenges and pitfalls of this mode of standards
development, with a particular focus on cross-sector interactions; and it will
make recommendations for future developments and policies that can help this
mode of standards development thrive and reach its full potential.

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