196,215 research outputs found
Fostering Open Qualitative Research - Final Project Report
No full textFostering cultures of open qualitative research: Final Project Report
This report was created and deposited onto the University of Sheffield Online Research Data repository (ORDA) on 14-Dec-2023 by Dr. Matthew S. Hanchard, Research Associate at the University of Sheffield iHuman Institute.
The report presents findings and recommendations from a project titled ‘Fostering cultures of open qualitative research’ which ran from January 2023 to June 2023. The project was funded with £13,913.85 of Research England monies held internally by the University of Sheffield - as part of their ‘Enhancing Research Cultures’ scheme 2022-2023.
Research within the report aligns with ethical approval granted by the University of Sheffield School of Sociological Studies Research Ethics Committee (ref: 051118) on 23-Jan-2021.This includes due concern for participant anonymity and data management. ORDA has full permission to store and make available datasets and reports from the project for public viewing and reuse on the basis that no commercial gain will be made from reuse. It has been deposited under a CC-BY-NC licence. Overall, the report relies on the below datasets:
Survey Responses:
Hanchard M and San Roman Pineda I (2023) Fostering cultures of open qualitative research: Dataset 1 – Survey Responses. The University of Sheffield. DOI: 10.15131/shef.data.23567250.v1.
Interviews:
Hanchard M and San Roman Pineda I (2023) Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts. The University of Sheffield. DOI: 10.15131/shef.data.23567223.v2.
Workshop:
Hanchard M and San Roman Pineda I (2023) Fostering cultures of open qualitative research: Dataset 3 – Workshop Transcript. The University of Sheffield. DOI: 10.15131/shef.data.24807753.v1.
The project report covers research undertaken by two staff:
Co-investigator:
Dr. Itzel San Roman Pineda
ORCiD ID: 0000-0002-3785-8057
[email protected]
Postdoctoral Research Assistant
Labelled as ‘Researcher 1’ throughout all project datasets.
Principal Investigator (corresponding dataset author):
Dr. Matthew Hanchard
ORCiD ID: 0000-0003-2460-8638
[email protected]
Research Associate
iHuman Institute, Social Research Institutes, Faculty of Social Science
Labelled as ‘Researcher 2’ throughout all project datasets.</p
Have digital maps altered our experience of urban surroundings?
No full textFor many of us, digital maps have become an integral part of everyday life. As common as they have become, we should be aware that they change how we experience cities, argues Matthew Hanchard
Have digital maps altered our experience of urban surroundings?
No full textFor many of us, digital maps have become an integral part of everyday life. As common as they have become, we should be aware that they change how we experience cities, argues Matthew Hanchard
Fostering cultures of open qualitative research: Dataset 3 – Workshop Transcript
No full textThis dataset was created and deposited onto the University of Sheffield Online Research Data repository (ORDA) on 14-Dec-2023 by Dr. Matthew S. Hanchard, Research Associate at the University of Sheffield iHuman Institute. The dataset forms part of the outputs from a project titled ‘Fostering cultures of open qualitative research’ which ran from January 2023 to June 2023, and was funded with £13,913.85 of Research England monies held internally by the University of Sheffield as part of their ‘Enhancing Research Cultures’ scheme 2022-2023. The dataset aligns with ethical approval granted by the University of Sheffield School of Sociological Studies Research Ethics Committee (ref: 051118) on 23-Jan-2023. This includes due concern for participant anonymity and data management. ORDA has full permission to store this dataset and to make it open access for public re-use on the basis that no commercial gain will be made from reuse. It has been deposited under a CC-BY-NC license. Overall, this dataset comprises: 1 x Workshop transcript - in .docx file format which can be opened with Microsoft Word, Google Doc, or an open-source equivalent. The workshop took place on 18-Jul-2023 at the Wave Building, University of Sheffield. All five attendees have read and approved a portion of transcripts containing their own discussion. All workshop attendees have had an opportunity to retract details should they wish to do so. All workshop attendees have chosen whether to be pseudonymised or named directly. The pseudonym or real name can be used to identify individual participant responses in the qualitative coding held within accompanying dataset from the same project - Survey Responses: Hanchard M and San Roman Pineda I (2023) Fostering cultures of open qualitative research: Dataset 1 – Survey Responses. The University of Sheffield. DOI: 10.15131/shef.data.23567250.v1. Interviews: Hanchard M and San Roman Pineda I (2023) Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts. The University of Sheffield. DOI: 10.15131/shef.data.23567223.v2. As a limitation, the audio recording of the workshop session that this transcript is based upon is missing a section (due to a recording error) and may contain errors/inaccuracies (due to poor audio conditions within the workshop room). Every effort has been taken to correct these, including participants themselves reviewing their discussion/quotes, but the transcript may still contain minor inaccuracies, typos, and/or other errors in the text - as is noted on the transcript itself. The project was undertaken by two staff: Co-investigator: Dr. Itzel San Roman Pineda (Postdoctoral Research Assistant) ORCiD ID: 0000-0002-3785-8057 [email protected] Labelled as ‘Researcher 1’ throughout all project datasets. Principal Investigator (corresponding dataset author): Dr. Matthew Hanchard (Research Associate) ORCiD ID: 0000-0003-2460-8638 [email protected] iHuman Institute, Social Research Institutes, Faculty of Social Science Labelled as ‘Researcher 2’ throughout all project datasets
Fostering cultures of open qualitative research: Dataset 3 – Workshop Transcript
No full textThis dataset was created and deposited onto the University of Sheffield Online Research Data repository (ORDA) on 14-Dec-2023 by Dr. Matthew S. Hanchard, Research Associate at the University of Sheffield iHuman Institute. The dataset forms part of the outputs from a project titled ‘Fostering cultures of open qualitative research’ which ran from January 2023 to June 2023, and was funded with £13,913.85 of Research England monies held internally by the University of Sheffield as part of their ‘Enhancing Research Cultures’ scheme 2022-2023.
The dataset aligns with ethical approval granted by the University of Sheffield School of Sociological Studies Research Ethics Committee (ref: 051118) on 23-Jan-2023. This includes due concern for participant anonymity and data management. ORDA has full permission to store this dataset and to make it open access for public re-use on the basis that no commercial gain will be made from reuse. It has been deposited under a CC-BY-NC license. Overall, this dataset comprises:
1 x Workshop transcript - in .docx file format which can be opened with Microsoft Word, Google Doc, or an open-source equivalent.
The workshop took place on 18-Jul-2023 at the Wave Building, University of Sheffield. All five attendees have read and approved a portion of transcripts containing their own discussion. All workshop attendees have had an opportunity to retract details should they wish to do so. All workshop attendees have chosen whether to be pseudonymised or named directly. The pseudonym or real name can be used to identify individual participant responses in the qualitative coding held within accompanying dataset from the same project -
Survey Responses:
Hanchard M and San Roman Pineda I (2023) Fostering cultures of open qualitative research: Dataset 1 – Survey Responses. The University of Sheffield. DOI: 10.15131/shef.data.23567250.v1.
Interviews:
Hanchard M and San Roman Pineda I (2023) Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts. The University of Sheffield. DOI: 10.15131/shef.data.23567223.v2.
As a limitation, the audio recording of the workshop session that this transcript is based upon is missing a section (due to a recording error) and may contain errors/inaccuracies (due to poor audio conditions within the workshop room). Every effort has been taken to correct these, including participants themselves reviewing their discussion/quotes, but the transcript may still contain minor inaccuracies, typos, and/or other errors in the text - as is noted on the transcript itself.
The project was undertaken by two staff:
Co-investigator:
Dr. Itzel San Roman Pineda (Postdoctoral Research Assistant)
ORCiD ID: 0000-0002-3785-8057
[email protected]
Labelled as ‘Researcher 1’ throughout all project datasets.
Principal Investigator (corresponding dataset author):
Dr. Matthew Hanchard (Research Associate)
ORCiD ID: 0000-0003-2460-8638
[email protected]
iHuman Institute, Social Research Institutes, Faculty of Social Science
Labelled as ‘Researcher 2’ throughout all project datasets.</p
Orphan Drugs - Dataset 1: Twitter issue-networks as excluded publics
Full text linkThis dataset comprises of two .csv format files used within workstream 2
of the Wellcome Trust funded ‘Orphan drugs: High prices, access to medicines
and the transformation of biopharmaceutical innovation’ project
(219875/Z/19/Z). They appear in various outputs, e.g. publications and
presentations.
The deposited data were gathered using the University of Amsterdam Digital
Methods Institute’s ‘Twitter Capture and Analysis Toolset’ (DMI-TCAT) before
being processed and extracted from Gephi. DMI-TCAT queries Twitter’s STREAM
Application Programming Interface (API) using SQL and retrieves data on a pre-set
text query. It then sends the returned data for storage on a MySQL database.
The tool allows for output of that data in various formats. This process aligns
fully with Twitter’s service user terms and conditions. The query for the
deposited dataset gathered a 1% random sample of all public tweets posted
between 10-Feb-2021 and 10-Mar-2021 containing the text ‘Rare Diseases’ and/or
‘Rare Disease Day’, storing it on a local MySQL database managed by the University
of Sheffield School of Sociological Studies (http://dmi-tcat.shef.ac.uk/analysis/index.php), accessible only
via a valid VPN such as FortiClient and through a permitted active directory user
profile. The dataset was output from the MySQL database raw as a .gexf format
file, suitable for social network analysis (SNA). It was then opened using
Gephi (0.9.2) data visualisation software and anonymised/pseudonymised in Gephi
as per the ethical approval granted by the University of Sheffield School of
Sociological Studies Research Ethics Committee on 02-Jun-201 (reference:
039187). The deposited dataset comprises of two anonymised/pseudonymised social
network analysis .csv files extracted from Gephi, one containing node data
(Issue-networks as excluded publics – Nodes.csv) and another containing edge
data (Issue-networks as excluded publics – Edges.csv). Where participants
explicitly provided consent, their original username has been provided. Where
they have provided consent on the basis that they not be identifiable, their
username has been replaced with an appropriate pseudonym. All other usernames
have been anonymised with a randomly generated 16-digit key. The level of
anonymity for each Twitter user is provided in column C of deposited file
‘Issue-networks as excluded publics – Nodes.csv’.
This dataset was created and deposited
onto the University of Sheffield Online Research Data repository (ORDA) on
26-Aug-2021 by Dr. Matthew S. Hanchard, Research Associate at the University of
Sheffield iHuman institute/School of Sociological Studies. ORDA has full
permission to store this dataset and to make it open access for public re-use
without restriction under a CC BY license, in line with the Wellcome Trust commitment
to making all research data Open Access.
The University of Sheffield are the designated data controller for this
dataset.</p
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
No full text"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
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