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  1. Article ; Online: Two Journals and a Pandemic

    Sarah Callaghan

    Data Science Journal, Vol 22, Pp 14-

    Reflections on Being a Data Science Editor-in-Chief

    2023  Volume 14

    Abstract: This essay is a collection of reflections from my experiences in the past few years, first as editor-in-chief (EiC) of the Data Science Journal and then launching Patterns as its first EiC during the global COVID-19 pandemic. I discuss what I learned and ...

    Abstract This essay is a collection of reflections from my experiences in the past few years, first as editor-in-chief (EiC) of the Data Science Journal and then launching Patterns as its first EiC during the global COVID-19 pandemic. I discuss what I learned and how I worked with these journals, and I close with some hopes for the next 20 years of data science.
    Keywords data science ; academic publishing ; open access ; pandemic ; Science (General) ; Q1-390
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Ubiquity Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Data, Inspiration, and the New Year.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2021  Volume 2, Issue 1, Page(s) 100189

    Language English
    Publishing date 2021-01-08
    Publishing country United States
    Document type Editorial
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2020.100189
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Inclusion, complexity, and not being able to do it all alone.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2021  Volume 2, Issue 3, Page(s) 100223

    Language English
    Publishing date 2021-03-12
    Publishing country United States
    Document type Editorial ; Comment
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2021.100223
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Toward machine learning-enhanced high-throughput experimentation for chemistry.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2021  Volume 2, Issue 3, Page(s) 100221

    Abstract: High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to speed up and ... ...

    Abstract High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to speed up and improve chemical space exploration and optimization.
    Language English
    Publishing date 2021-03-12
    Publishing country United States
    Document type News
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2021.100221
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Preview of machine learning the quantum-chemical properties of metal-organic frameworks for accelerated materials discovery.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2021  Volume 2, Issue 4, Page(s) 100239

    Abstract: Metal-organic frameworks (MOFs) are a class of chemical compounds used for the storage of gases such as hydrogen and carbon dioxide. They also have potential applications in gas purification, catalysis and as supercapacitors. A database of quantum- ... ...

    Abstract Metal-organic frameworks (MOFs) are a class of chemical compounds used for the storage of gases such as hydrogen and carbon dioxide. They also have potential applications in gas purification, catalysis and as supercapacitors. A database of quantum-chemical properties for over 14,000 MOF structures (the "QMOF database") has been created and made available to the community along with code for machine learning and other related resources.
    Language English
    Publishing date 2021-04-09
    Publishing country United States
    Document type News
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2021.100239
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: COVID-19 Is a Data Science Issue.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2020  Volume 1, Issue 2, Page(s) 100022

    Keywords covid19
    Language English
    Publishing date 2020-04-07
    Publishing country United States
    Document type Editorial
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2020.100022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: On the Importance of Data Transparency.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2020  Volume 1, Issue 4, Page(s) 100070

    Keywords covid19
    Language English
    Publishing date 2020-06-16
    Publishing country United States
    Document type Editorial
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2020.100070
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Artisanal and Industrial: The Different Methods of Data Creation.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2020  Volume 1, Issue 6, Page(s) 100100

    Language English
    Publishing date 2020-09-11
    Publishing country United States
    Document type Editorial
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2020.100100
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: What's in a Name? How We Named

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2020  Volume 1, Issue 3, Page(s) 100048

    Language English
    Publishing date 2020-06-12
    Publishing country United States
    Document type Editorial
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2020.100048
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Wheels of All Colors, Shapes, and Sizes Working Together: A Vision of Common Purpose in Data Science.

    Callaghan, Sarah

    Patterns (New York, N.Y.)

    2020  Volume 1, Issue 5, Page(s) 100088

    Language English
    Publishing date 2020-08-14
    Publishing country United States
    Document type Editorial
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2020.100088
    Database MEDical Literature Analysis and Retrieval System OnLINE

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