scholarly journals On efficient meta-data collection for crowdsensing

2014 ◽  
Author(s):  
Luke Dickens ◽  
Emil Lupu
Keyword(s):  
Data Collection ◽  
Meta Data

scholarly journals A metric for the measurement of passively transparent behavior in communication chains

2020 ◽  
Vol 11 (2) ◽  
pp. 121-138
Author(s):  
Oscar Quirinus Herbertus de Souza ◽  
Fabiano Maury Raupp
Keyword(s):  
Data Collection ◽  
Empirical Data ◽  
Public Information ◽  
Social Institutions ◽  
Social Value ◽  
Information Collection ◽  
Meta Data ◽  
Collection Process ◽  
Data Collection Process ◽  
The Social

In this paper, we present a method for empirically measuring the extent to which social institutions actively cooperate in the provision of public information. The method described here allows researchers to collect accurate empirical data corresponding to specific items of requested information to produce presentable meta-data on the information collection process. The data are extracted from communication chains and generated by tracking each unitary item of requested information in an item chain. After describing the data collection process and how the data are indexed using a three-figure tag, we explain how the collected data can be used to produce aggregated passive transparency ratings for institutions across content topics and for content topics across institutions. The article ends with a discussion of the social value of using transparency data, and the benefits that might be derived from institutional and content-specific passive transparency ratings.

(Meta)Data Collection

2021 ◽  
pp. 75-103
Author(s):  
Dawn Knight ◽  
Steve Morris ◽  
Laura Arman ◽  
Jennifer Needs ◽  
Mair Rees
Keyword(s):  
Data Collection ◽  
Meta Data

scholarly journals Online Meta-data Collection and Monitoring Framework for the STAR Experiment at RHIC

2012 ◽  
Vol 396 (1) ◽  
pp. 012002 ◽  
Author(s):  
D Arkhipkin ◽  
J Lauret ◽  
W Betts ◽  
G Van Buren
Keyword(s):  
Data Collection ◽  
Meta Data ◽  
Monitoring Framework ◽  
Star Experiment

scholarly journals An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicology

2015 ◽  
Vol 6 ◽  
pp. 1978-1999 ◽  
Author(s):  
Richard L Marchese Robinson ◽  
Mark T D Cronin ◽  
Andrea-Nicole Richarz ◽  
Robert Rallo
Keyword(s):  
Data Collection ◽  
Data Driven ◽  
Electronic Format ◽  
Business Rules ◽  
Meta Data ◽  
Future Developments ◽  
Current Article ◽  
Eu Project

Analysis of trends in nanotoxicology data and the development of data driven models for nanotoxicity is facilitated by the reporting of data using a standardised electronic format. ISA-TAB-Nano has been proposed as such a format. However, in order to build useful datasets according to this format, a variety of issues has to be addressed. These issues include questions regarding exactly which (meta)data to report and how to report them. The current article discusses some of the challenges associated with the use of ISA-TAB-Nano and presents a set of resources designed to facilitate the manual creation of ISA-TAB-Nano datasets from the nanotoxicology literature. These resources were developed within the context of the NanoPUZZLES EU project and include data collection templates, corresponding business rules that extend the generic ISA-TAB-Nano specification as well as Python code to facilitate parsing and integration of these datasets within other nanoinformatics resources. The use of these resources is illustrated by a “Toy Dataset” presented in the Supporting Information. The strengths and weaknesses of the resources are discussed along with possible future developments.

scholarly journals Towards a grapho-phonologically parsed corpus of medieval Scots: database design and technical solutions

Corpora ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 255-269 ◽  
Author(s):  
Joanna Kopaczyk ◽  
Benjamin Molineaux ◽  
Vasilios Karaiskos ◽  
Rhona Alcorn ◽  
Bettelou Los ◽  
...  
Keyword(s):  
Data Collection ◽  
Relational Database ◽  
Systematic Approach ◽  
Analytical Procedure ◽  
Database Design ◽  
Meta Data ◽  
Lexical Information ◽  
Text Type ◽  
Complex Queries ◽  
Technical Solutions

This paper presents a newly constructed corpus of sound-to-spelling mappings in medieval Scots, which stems from the work of the From Inglis to Scots (FITS) project. We have developed a systematic approach to the relationships between individual spellings and proposed sound values, and recorded these mutual links in a relational database. In this paper, we introduce the theoretical underpinnings of sound-to-spelling and spelling-to-sound mappings, and show how a Scots root morpheme undergoes grapho-phonological parsing, the analytical procedure that is employed to break down spelling sequences into sound units. We explain the data collection and annotation for the FITS Corpus (Alcorn et al., forthcoming), drawing attention to the extensive meta-data which accompany each analysed unit of spelling and sound. The database records grammatical and lexical information about the root, the positional arrangement of segments within the root, labels for the nuclei, vowels and consonants, the morphological context, and extra-linguistic detail of the text a given root was taken from (date, place and text type). With this wealth of information, the FITS corpus is capable of answering complex queries about the sound and spelling systems of medieval Scots. We also suggest how our methodology can be transferred to other non-standardised spelling systems.

scholarly journals The ground truth of the Data-Iceberg: Correct Meta-data

2021 ◽  
Author(s):  
Aylin Caliskan ◽  
Seema Dangwal ◽  
Thomas Dandekar
Keyword(s):  
Data Collection ◽  
Ground Truth ◽  
Molecular Data ◽  
Patient Data ◽  
Sequence Information ◽  
Timely Manner ◽  
Meta Data ◽  
Data Flood

Biological molecular data such as sequence information increase so rapidly that detailed metadata, describing the process and conditions of data collection as well as proper labelling and typing of the data become ever more important to avoid mistakes and erroneous labeling. Starting from a striking example of wrong labelling of patient data recently published in Nature, we advocate measures to improve software metadata and controls in a timely manner to not rapidly loose quality in the ever-growing data flood.

scholarly journals INSTAGRAM SELFIE DI PAMERAN ARTJOG

2018 ◽  
Vol 21 (2) ◽  
pp. 116-132
Author(s):  
Nadia Tunikhmah
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Art Exhibitions ◽  
Art Exhibition ◽  
Meta Data ◽  
Data Search ◽  
Selection Of

Instagram Selfie in ArtJog exhibition is a research conducted with purpose to identify how selfie done with artwork in an art exhibition using social media as well as to determine the effect of social media on the art exhibitions visitor. The object of this study is limited to selfies with artworkthat uses social media instagram and conducted in 2016. The exhibits were selected in this study will be limited in ArtJog exhibition. Instagram data collection is done by using meta data search categories based on hashtag.The selection of selfies at the artjog exhibition was done after seeing the rampant selfie at the exhibition also saw the number of uploads with hastag ArtJjog reaching 25,883 and dominated by selfies. Most Selfie actions with artwork and publish on public pages done without mentioning the identity of the artwork and give a new "caption" on the artwork without the permission of the artist.

Electron Diffraction of Wet Biological Membranes

1974 ◽  
Vol 32 ◽  
pp. 158-159
Author(s):  
S.W. Hui ◽  
D.F. Parsons
Keyword(s):  
Electron Diffraction ◽  
Data Collection ◽  
Biological Membranes ◽  
Small Areas ◽  
Electron Diffraction Technique ◽  
Electron Microscopes ◽  
Collection Time ◽  
Camera Length

The development of the hydration stages for electron microscopes has opened up the application of electron diffraction in the study of biological membranes. Membrane specimen can now be observed without the artifacts introduced during drying, fixation and staining. The advantages of the electron diffraction technique, such as the abilities to observe small areas and thin specimens, to image and to screen impurities, to vary the camera length, and to reduce data collection time are fully utilized. Here we report our pioneering work in this area.

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