عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شماره کتابشناسی ملی
شماره
TL4nd5j5jp
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
From Open Data to Knowledge Production:
نام عام مواد
[Thesis]
نام نخستين پديدآور
PASQUETTO, IRENE V.
عنوان اصلي به قلم نويسنده ديگر
Biomedical Data Sharing and Unpredictable Data Reuses
نام ساير پديدآوران
Borgman, Christine L.
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
UCLA
تاریخ نشرو بخش و غیره
2018
یادداشتهای مربوط به پایان نامه ها
کسي که مدرک را اعطا کرده
UCLA
امتياز متن
2018
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Using a US consortium for data sharing as the primary field site, this three-year ethnographic research project examines the socio-technical, epistemic, and ethical challenges of making biomedical research data openly available and reusable. Public policy arguments for releasing scientific data for reuse by others include increasing trust in science and leveraging public investments in research. In most types of scientific research, data release occurs in parallel with associated publications, after peer-review. In the consortium studied for this project, datasets may also be released independently without an associated publication. Such research datasets are conceptualized as "hypothesis free" resources from which novel knowledge can be extracted indefinitely. Among the findings of this project are that biomedical researchers do not download and re-analyze "hypothesis free" research data from open repositories as a regular practice. Data reuse is a complex, delicate, and often time-consuming process. Metadata and ontology schemas appear to be necessary but not sufficient for data reuse processes. For scientists to test new hypotheses on "old" data, they depend on access to peer-reviewed primary analyses, pre-existing trusted relationships with the data creators, and shared research agendas. Data donors (patients, study participants, etc.), on the other hand, retain little control over how open research data are reused. Findings suggest that, in practice, it is impossible to predict - and consequently to regulate - how datasets might be reused once made openly available. Unintended consequences of reusing this consortium's open data already are emerging, to the concern of some participants.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
PASQUETTO, IRENE V.
نام شخص - ( مسئولیت معنوی درجه دوم )
مستند نام اشخاص تاييد نشده
Borgman, Christine L.
شناسه افزوده (تنالگان)
مستند نام تنالگان تاييد نشده
UCLA
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب وضعیت انتشار
فرمت انتشار
p
اطلاعات رکورد کتابشناسی
نوع ماده
[Thesis]
کد کاربرگه
276903
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
