home.social

#worldfair — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #worldfair, aggregated by home.social.

  1. @adamsteer

    A lot of work on #FAIR has been rather cosmetic and focused on the easy F and A parts. For universities, it can often be a box-ticking exercise. As the excellent #WorldFAIR outputs indicate, it's often been about placing datasets on shelves rather than making the data reusable and accessible.

    But I would push back and argue that, when #FAIR is used as a lens to see data from the standpoint of future (re-)use, it is a massive leap forward. Of course, it's then really a call to adopt robust data engineering at all stages in the data pipeline.

    This is even more important in the age of #generativeML. Proper documentation of data provenance, licensing, transformations, structure and semantics is essential if we are going to keep track of what ostensible data comes from actual sensors or human observers or has been generated in predictable well-understood ways from such observations.

    The CARE principles are also really important as they go into the ethical considerations for how we collect, manage, use and share data.

    My only hesitation is not with the CARE principles or with the wording or with the fact that is immensely important for us to decolonialise our approach to information gathering. It's with the fact that they've become a reason to compartmentalise management of Indigenous knowledge and data and to treat the ethics of using those data as a narrowly defined issue. Focus on Indigenous data will help those already inclined to consider these issues to do so, but it risks making an exclusionary culture-war-adjacent issue.

    Without in any way wanting to reduce our focus on the excellent reasons for #GIDA and others to foreground these principles, the challenges they address are the same ones that we all face in a capitalist and authoritarian #panopticon.

    The CARE principles are part of what should be a much broader rallying cry for consent in data management everywhere. Of course, my suggesting this may just contribute to devaluing the proper concerns of Indigenous communities in this area, but I can only really see foresee the necessary IT underpinnings and practices getting mainstream adoption if they are seen as a central issue.

  2. @adamsteer

    A lot of work on #FAIR has been rather cosmetic and focused on the easy F and A parts. For universities, it can often be a box-ticking exercise. As the excellent #WorldFAIR outputs indicate, it's often been about placing datasets on shelves rather than making the data reusable and accessible.

    But I would push back and argue that, when #FAIR is used as a lens to see data from the standpoint of future (re-)use, it is a massive leap forward. Of course, it's then really a call to adopt robust data engineering at all stages in the data pipeline.

    This is even more important in the age of #generativeML. Proper documentation of data provenance, licensing, transformations, structure and semantics is essential if we are going to keep track of what ostensible data comes from actual sensors or human observers or has been generated in predictable well-understood ways from such observations.

    The CARE principles are also really important as they go into the ethical considerations for how we collect, manage, use and share data.

    My only hesitation is not with the CARE principles or with the wording or with the fact that is immensely important for us to decolonialise our approach to information gathering. It's with the fact that they've become a reason to compartmentalise management of Indigenous knowledge and data and to treat the ethics of using those data as a narrowly defined issue. Focus on Indigenous data will help those already inclined to consider these issues to do so, but it risks making an exclusionary culture-war-adjacent issue.

    Without in any way wanting to reduce our focus on the excellent reasons for #GIDA and others to foreground these principles, the challenges they address are the same ones that we all face in a capitalist and authoritarian #panopticon.

    The CARE principles are part of what should be a much broader rallying cry for consent in data management everywhere. Of course, my suggesting this may just contribute to devaluing the proper concerns of Indigenous communities in this area, but I can only really see foresee the necessary IT underpinnings and practices getting mainstream adoption if they are seen as a central issue.

  3. @adamsteer

    A lot of work on #FAIR has been rather cosmetic and focused on the easy F and A parts. For universities, it can often be a box-ticking exercise. As the excellent #WorldFAIR outputs indicate, it's often been about placing datasets on shelves rather than making the data reusable and accessible.

    But I would push back and argue that, when #FAIR is used as a lens to see data from the standpoint of future (re-)use, it is a massive leap forward. Of course, it's then really a call to adopt robust data engineering at all stages in the data pipeline.

    This is even more important in the age of #generativeML. Proper documentation of data provenance, licensing, transformations, structure and semantics is essential if we are going to keep track of what ostensible data comes from actual sensors or human observers or has been generated in predictable well-understood ways from such observations.

    The CARE principles are also really important as they go into the ethical considerations for how we collect, manage, use and share data.

    My only hesitation is not with the CARE principles or with the wording or with the fact that is immensely important for us to decolonialise our approach to information gathering. It's with the fact that they've become a reason to compartmentalise management of Indigenous knowledge and data and to treat the ethics of using those data as a narrowly defined issue. Focus on Indigenous data will help those already inclined to consider these issues to do so, but it risks making an exclusionary culture-war-adjacent issue.

    Without in any way wanting to reduce our focus on the excellent reasons for #GIDA and others to foreground these principles, the challenges they address are the same ones that we all face in a capitalist and authoritarian #panopticon.

    The CARE principles are part of what should be a much broader rallying cry for consent in data management everywhere. Of course, my suggesting this may just contribute to devaluing the proper concerns of Indigenous communities in this area, but I can only really see foresee the necessary IT underpinnings and practices getting mainstream adoption if they are seen as a central issue.

  4. @adamsteer

    A lot of work on #FAIR has been rather cosmetic and focused on the easy F and A parts. For universities, it can often be a box-ticking exercise. As the excellent #WorldFAIR outputs indicate, it's often been about placing datasets on shelves rather than making the data reusable and accessible.

    But I would push back and argue that, when #FAIR is used as a lens to see data from the standpoint of future (re-)use, it is a massive leap forward. Of course, it's then really a call to adopt robust data engineering at all stages in the data pipeline.

    This is even more important in the age of #generativeML. Proper documentation of data provenance, licensing, transformations, structure and semantics is essential if we are going to keep track of what ostensible data comes from actual sensors or human observers or has been generated in predictable well-understood ways from such observations.

    The CARE principles are also really important as they go into the ethical considerations for how we collect, manage, use and share data.

    My only hesitation is not with the CARE principles or with the wording or with the fact that is immensely important for us to decolonialise our approach to information gathering. It's with the fact that they've become a reason to compartmentalise management of Indigenous knowledge and data and to treat the ethics of using those data as a narrowly defined issue. Focus on Indigenous data will help those already inclined to consider these issues to do so, but it risks making an exclusionary culture-war-adjacent issue.

    Without in any way wanting to reduce our focus on the excellent reasons for #GIDA and others to foreground these principles, the challenges they address are the same ones that we all face in a capitalist and authoritarian #panopticon.

    The CARE principles are part of what should be a much broader rallying cry for consent in data management everywhere. Of course, my suggesting this may just contribute to devaluing the proper concerns of Indigenous communities in this area, but I can only really see foresee the necessary IT underpinnings and practices getting mainstream adoption if they are seen as a central issue.

  5. @adamsteer

    A lot of work on #FAIR has been rather cosmetic and focused on the easy F and A parts. For universities, it can often be a box-ticking exercise. As the excellent #WorldFAIR outputs indicate, it's often been about placing datasets on shelves rather than making the data reusable and accessible.

    But I would push back and argue that, when #FAIR is used as a lens to see data from the standpoint of future (re-)use, it is a massive leap forward. Of course, it's then really a call to adopt robust data engineering at all stages in the data pipeline.

    This is even more important in the age of #generativeML. Proper documentation of data provenance, licensing, transformations, structure and semantics is essential if we are going to keep track of what ostensible data comes from actual sensors or human observers or has been generated in predictable well-understood ways from such observations.

    The CARE principles are also really important as they go into the ethical considerations for how we collect, manage, use and share data.

    My only hesitation is not with the CARE principles or with the wording or with the fact that is immensely important for us to decolonialise our approach to information gathering. It's with the fact that they've become a reason to compartmentalise management of Indigenous knowledge and data and to treat the ethics of using those data as a narrowly defined issue. Focus on Indigenous data will help those already inclined to consider these issues to do so, but it risks making an exclusionary culture-war-adjacent issue.

    Without in any way wanting to reduce our focus on the excellent reasons for #GIDA and others to foreground these principles, the challenges they address are the same ones that we all face in a capitalist and authoritarian #panopticon.

    The CARE principles are part of what should be a much broader rallying cry for consent in data management everywhere. Of course, my suggesting this may just contribute to devaluing the proper concerns of Indigenous communities in this area, but I can only really see foresee the necessary IT underpinnings and practices getting mainstream adoption if they are seen as a central issue.

  6. #CHOSN webinar tomorrow: "Sharing #CulturalHeritage Images as Data: #WorldFAIR Project Recommendations."
    Beth Knazook'll talk about the WorldFAIR Project, #collectionsasdata in #GLAMs and FAIR practices with examples from Digital Repository of Ireland.
    Tue 29 Apr. 14:00 BST
    events.teams.microsoft.com/eve

  7. 📣 Join us later this month for a #CHOSN webinar.
    📌 Sharing #CulturalHeritage Images as Data: #WorldFAIR Project Recommendations.
    🌟 Beth Knazook will talk about #collectionsasdata and #FAIRdata practices in #GLAMs with practical examples of the recommendations in action at the Digital Repository of Ireland.
    🗓 Tue, 29 Apr. 14:00 BST.
    events.teams.microsoft.com/eve

  8. @roaldarboel

    The Australian Plant Phenotyping Network is keen to follow the #WorldFAIR recommendation to focus on #DataEngineering rather than simple bibliographic metadata. To make this happen, I need each algorithm that extracts plant traits from images to be separately citable versioned piece of software with a DOI, etc.

    Use of each algorithm should then be tracked using citations in data sets and publications.

    Programmer credit is a key benefit and incentive.

  9. So my family was talking about the next world fair which I believe will be in 2027. Is the world fair on anyones radar? I would think the art world would be buzzing with plans. #Art #ArtBusiness #ArtFair #worldfair #fair #Artist #Artcollaboration #IrisRichardsonArtist #ArtMatters

  10. So my family was talking about the next world fair which I believe will be in 2027. Is the world fair on anyones radar? I would think the art world would be buzzing with plans. #Art #ArtBusiness #ArtFair #worldfair #fair #Artist #Artcollaboration #IrisRichardsonArtist #ArtMatters

  11. So my family was talking about the next world fair which I believe will be in 2027. Is the world fair on anyones radar? I would think the art world would be buzzing with plans. #Art #ArtBusiness #ArtFair #worldfair #fair #Artist #Artcollaboration #IrisRichardsonArtist #ArtMatters

  12. November 23, 1862
    Alexander Pierce Anderson, an American #Botanist, is born.

    His work at the #NewYork #BotanicalGarden (#NYBG) led to a fantastic discovery.
    Alex suspected that microscopic amounts of water existed inside the #Nucleus of #Starch crystals in #Rice. Once he found a way to extract the #Water, he created #PuffedRice... and #Breakfast #Cereal was changed #Forever

    Alexander sold over 20,000 lbs of puffed rice at the 1904 #St.Louis #WorldFair.

    #iamabotanist #garden #funfact