This dataset relates to research on the connections between archives professionals and research data management. It consists of a single Excel spreadsheet with four sheets, containing an analysis of emails sent to two email discussions lists: Archives-NRA (Archivists, conservators and records managers) and Research-Dataman. The coded dataset and a list of codes used for each mailing list is provided.The two datasets were downloaded from the JiscMail Email Discussion list archives on 27 July 2018. The Archives-NRA dataset was compiled by conducting a free text search for "research data" on the mailing list's archives, and the metadata for every search result was downloaded and coded (144 metadata records in total). The resulting coded dataset demonstrates how frequently archivists and records professionals discuss research data on the Archives-NRA list, the topics which are discussed, and an increase in these discussions over time. The Research-Dataman dataset was compiled by conducting a free text search for "archivist" on the mailing list's archives, and the metadata for every search result was downloaded and coded (197 emails total). The resulting coded dataset demonstrates how frequently data management professionals seek the advice of archivists or advertise vacancies for archivists, and how often archivists email this mailing list. The names and email addresses of the mailing list participants have been redacted for privacy reasons but the original full-text emails can be accessed by members of the respective mailing lists using the URLs provided in the dataset.

This data set includes emails from forty two healthy control participants ranging from 16 to 88 years of age (mean = 45.64) and 9 to 24 years of education (mean = 13.36). Three emails were produced by each participant, each within a time limit of three minutes. Emails were anonymised by replacing names, addresses and professions with different names, addresses and professions consisting of the same number of letters. Otherwise, the emails appear exactly as they were written, with no changes to layout, spaces, words, letter case or punctuation. It is expected that this normative data will be useful to clinicians and researchers working with adults with acquired language disorders in assessing email writing.

According to the results of a survey conducted in 2021, the majority of respondents in the U.S. had two email addresses. However, 28 percent of respondents stated having over four email addresses.

The collection is a crawl of the public W3C (*.w3.org) sites in June 2004. NIST distributed the collection to TREC participants. This is a subset of 174,311 emails from the data used at TRECENT 2005.

GENERAL INFORMATION

1. Title of Dataset: Interview Margaret Sevenjhazi: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
2. Participant Name: Margaret Sevenjhazi
3. Consent for Open-Access Data Repository:Yes
4. Author Information A. Principal Investigator Contact Information Name: SARINA JOAN KILHAM ORCID: 0000-0001-5234-2764 Institution: CHARLES STURT UNIVERSITY, WAGGA WAGGA, AUSTRALIA Address: Email: sarinakilham@gmail.com
5. Date of data collection (single date, range, approximate date): 2022-2023
6. Geographic location of data collection : Sydney, Australia
7. Information about funding sources that supported the collection of the data: City of Sydney Knowledge Exchange Sponsorship [2021/159649 / KEX 202122041] The Australian Sociological Association: Gary Bouma Memorial Workshop Program 2022
8. Human Research Ethics Protocol: Charles Sturt University Human Research Ethics Committee Protocol Approval: H21466
9. Description/Abstract: This research project will pilot and adapt a holistic mapping methodology called URBAL (Urban-Driven Innovations for Sustainable Food Systems) to examine urban food system sustainability innovation in the City of Sydney LGA. The research findings will give policy-makers and community led organisations (CLOs) a shared view and understanding of ‘what food systems innovations work’ and ‘why they work’. The results will be used by local governments, NGOs and food-based CLOs to inform, support and develop future food policy and sustainable food projects. This is interdisciplinary research that primarily uses contemporary social science approaches.
10. Subject: Social Sciences
11. Australian and New Zealand Standard Research Classification (ANZSRC) Field of Research Code: 160804
12. Australian and New Zealand Standard Research Classification (ANZSRC) Socio-economic Objective (SEO) Code: 960799
13. Keywords: food governance, innovation, urban food systems, social innovation,
14. Contributor Information A. Research Associate Name: TANIA LEIMBACH ORCID: 0000-0002-8144-5065 Email: tanialeimbach@gmail.com B. Research Associate Name: TANJA ROSENQVIST ORCID: 0000-0003-3899-6694 Email: tsrosenqvist@gmail.com 15: Type of Data: qualitative, interview transcripts, audio interviews 16: Format of Data: text READme file , .mp3 audio files , .rtf transcripts 17: Software: MSOffice 365 Education version 16.57, 2021. Descript Audio App. Zoom Meeting app. Rode Reporter Audio Recording App. 18: Version: Version 1. First Release 19: Terms and conditions of use: Creative Commons Attribution Non Commercial CC BY-NC

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: Yes
2. Links to publications that cite or use the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
3. Links to other publicly accessible locations of the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. Links/relationships to ancillary data sets: Yes. Additional Datasets are available in the fig share link.
5. Was data derived from another source? No A. If yes, list source(s):
6. Recommended citation for this dataset: Kilham, Sarina (2023). Interview Margaret Sevenjhazi: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: Semi-structured interviews. Data was created through interviews with participants in Australian English. Interviews were audio recorded on iPhone 8 with rode microphone.
2. Consent: Each participant was provided a Participant Information Form and a consent form. Participants were asked explicitly asked about inclusion of their material in the open- access databank and provided informed consent.
3. Ownership and Access: R01-Sarina Kilham. Open-Access Data Archive- Creative Commons Attribution Non Commercial CC BY-NC
4. Collection Mode: Audio recorded semi-structured interview. Interviews conducted in person or via online meeting software.
5. Sampling Method: purposeful sampling via open invitation to community of practitioners.
6. Methods for processing the data: Interviews were recorded in multiple audio-files to prevent data loss by stopping and re-starting the audio recorder. Audio files were combined in the software "Descript" and exported as a single audio file. The single audio file was transcribed by AI-Tool in the software "Descript" and checked by a human for accuracy. Transcripts were sent to participants to for accuracy checking, and the version included here incorporates any amendments or rectifications from the participants.
7. Instrument- or software-specific information needed to interpret the data: Software: Descript. Used for AI-transcriptions and combining multiple audio files into single file.
8. Standards and calibration information, if appropriate: n/a
9. Environmental/experimental conditions: n/a
10. Describe any quality-assurance procedures performed on the data: Sarina Kilham checked all transcriptions against the original audio for accuracy. Participants were sent transcriptions for checking.
11. People involved with sample collection, processing, analysis and/or submission: R01-SARINA KILHAM

DATA & FILE OVERVIEW

1. File List: 001-interviewaudio_p01_margaretsevenjhazi_v01.mp3: single audio file of interview 001-interviewtranscript_p01_margaretsevenjhazi_v01.txt : transcript of audio Readme.txt: metadata, license and file data.
2. Relationship between files, if important: Dataset files can be used individually or as a dataset collection.
3. Additional related data collected that was not included in the current data package: No

4. Are there multiple versions of the dataset? No

DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_margaretsevenjhazi_v01.txt

1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a 6: Kind: text format 7: word count: 5580

DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_margaretsevenjhazi_v01.mp3

1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6. Duration: 33 minutes 13 seconds
7. Audio channels: mono
8. Sample rate: 44.1kHz
9. Kind: mp3 audio

CITATION TOPICS Web of Science Macro Level Citation topic: Social Sciences Web of Science Meso label: 6.86 Human Geography 6.153 Climate Change 6.153 Climate Change 6.153 Climate Change 6.263 Agricultural Policy 6.263 Agricultural Policy 6.303 Sociology 6.303 Sociology Web of Science Micro label: 6.86.149 Gentrification 6.153.558 Climate Change Adaptation 6.153.742 Science Communication 6.153.2227 Strategic Environmental Assessment 6.263.898 Farmers 6.263.1407 Urban Agriculture 6.303.1915 Public Sociology 6.303.2393 Social Policies

--END---

This statistic displays the results of a survey in which respondents in Great Britain were asked about their preferred ways of receiving coupons in 2016. Among respondents, 39 percent said they prefer receiving coupons via mail, making this the most preferred method in the provided list. Email/web coupons were also popular choices among respondents, with 31 percent preferring to use them digitally and 20 percent printing them at home.

Introduction and objectiveOpen science (OS) aims to make the dissemination of knowledge and the research process transparent and accessible to everyone. With the increasing popularity of complementary, alternative, and integrative medicine (CAIM), our goal was to explore what are CAIM researchers’ practices and perceived barriers related to OS.MethodsWe conducted an anonymous online survey of researchers who published in journals listed in Scopus containing the words “complementary”, “alternative”, or “integrative” medicine in their names. We emailed 6040 researchers our purpose-built electronic survey after extracting their email address from one of their publications in our sample of journals. We questioned their familiarity with different OS concepts, along with their experiences and challenges engaging in these practices over the last 12 months.ResultsThe survey was completed by 392 researchers (6.5% response rate, 97.1% completion rate). Most respondents were CAIM researchers familiar with the overall concept of OS, indicated by those actively publishing open access (OA) (n = 244, 76.0%), registering a study protocol (n = 148, 48.0%), and using reporting guidelines (n = 181, 59.0%) in the past 12 months. Preprinting, sharing raw data, and sharing study materials were less popular. A lack of funding was reported as the greatest barrier to publishing OA by most respondents (n = 252, 79.0%), and that additional funding is the most significant incentive in applying more OS practices to their research (n = 229,72.2%). With respect to preprinting barriers, 36.3% (n = 110) participants believed there are potential harms in sharing non-peer-reviewed work and 37.0% (n = 112) feared preprinting would reduce the likelihood of their manuscript being accepted by a journal. Respondents were also concerned about intellectual property control regarding sharing data (n = 94, 31.7%) and research study materials (n = 80, 28.7%).ConclusionsAlthough many participants were familiar with and practiced aspects of OS, many reported facing barriers relating to lack of funding to enable OS and perceived risks of revealing research ideas and data prior to publication. Future research should monitor the adoption and implementation of OS interventions in CAIM.

BackgroundRates of breastfeeding (BF) remain suboptimal despite overwhelming evidence for its benefits to the mother and child. Pediatricians play an important role in supporting breastfeeding (BF). In Lebanon, the rates of both exclusive and continued BF are critically low. The objective of this study is to examine the knowledge, attitudes and practices (KAP) of Lebanese pediatricians in relation to supporting BF.MethodsA national survey of Lebanese pediatricians was conducted through Lime Survey (n = 100, response rate 9.5%). The list of pediatricians’ emails was obtained from the Lebanese Order of Physicians (LOP). Participants completed a questionnaire covering, in addition to sociodemographic characteristics, the KAP, related to supporting BF. Descriptive statistics and logistic regressions were used in data analysis.ResultsThe most prevalent gaps in knowledge were related to the positioning of the baby during BF (71.9%) and the association between the mother’s fluid intake and her milk production (67.4%). With regards to attitudes, 34% of participants reported unfavorable attitudes towards BF in public and BF while working (25%). As for practices, more than 40% of pediatricians kept formula samples and 21% had formula-related advertising in their clinics. Half of the pediatricians reported rarely/never referring mothers to lactation consultants. After adjustment, both being a female pediatrician and having done the residency in Lebanon were significant predictors of better knowledge (OR = 4.51 (95%CI: 1.72–11.85) and OR = 3.93 (95%CI: 1.38,11.19) respectively.ConclusionThis study revealed important gaps in the KAP related to BF support among Lebanese pediatricians. Coordinated efforts ought to be exerted to educate and equip pediatricians with needed knowledge and skills to support BF.

GENERAL INFORMATION 1. Title of Dataset: Interview Catriona Macmillan: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia 2. Participant Name: Catriona Macmillan 3. Consent for Open-Access Data Repository: No- under embargo 4. Author Information A. Principal Investigator Contact Information Name: SARINA JOAN KILHAM ORCID: 0000-0001-5234-2764 Institution: CHARLES STURT UNIVERSITY, WAGGA WAGGA, AUSTRALIA Address: Email: sarinakilham@gmail.com 5. Date of data collection (single date, range, approximate date): 2022-2023 6. Geographic location of data collection : Sydney, Australia 7. Information about funding sources that supported the collection of the data: City of Sydney Knowledge Exchange Sponsorship [2021/159649 / KEX 202122041] The Australian Sociological Association: Gary Bouma Memorial Workshop Program 2022 8. Human Research Ethics Protocol: Charles Sturt University Human Research Ethics Committee Protocol Approval: H21466 9. Description/Abstract: This research project will pilot and adapt a holistic mapping methodology called URBAL (Urban-Driven Innovations for Sustainable Food Systems) to examine urban food system sustainability innovation in the City of Sydney LGA. The research findings will give policy-makers and community led organisations (CLOs) a shared view and understanding of ‘what food systems innovations work’ and ‘why they work’. The results will be used by local governments, NGOs and food-based CLOs to inform, support and develop future food policy and sustainable food projects. This is interdisciplinary research that primarily uses contemporary social science approaches. 10. Subject: Social Sciences 11. Australian and New Zealand Standard Research Classification (ANZSRC) Field of Research Code: 160804 12. Australian and New Zealand Standard Research Classification (ANZSRC) Socio-economic Objective (SEO) Code: 960799 13. Keywords: food governance, innovation, urban food systems, social innovation, 14. Contributor Information A. Research Associate Name: TANIA LEIMBACH ORCID: 0000-0002-8144-5065 Email: tanialeimbach@gmail.com B. Research Associate Name: TANJA ROSENQVIST ORCID: 0000-0003-3899-6694 Email: tsrosenqvist@gmail.com 15: Type of Data: qualitative, interview transcripts, audio interviews 16: Format of Data: text READme file , .mp3 audio files , .rtf transcripts 17: Software: MSOffice 365 Education version 16.57, 2021. Descript Audio App. Zoom Meeting app. Rode Reporter Audio Recording App. 18: Version: Version 1. First Release 19: Terms and conditions of use: Creative Commons Attribution Non Commercial CC BY-NC

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: Yes
2. Links to publications that cite or use the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
3. Links to other publicly accessible locations of the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. Links/relationships to ancillary data sets: Yes. Additional Datasets are available in the fig share link.
5. Was data derived from another source? No A. If yes, list source(s):
6. Recommended citation for this dataset: Kilham, Sarina (2023). Interview Catriona Macmillan: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia.. figshare. Dataset. https://doi.org/10.6084/m9.figshare.23298512

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: Semi-structured interviews. Data was created through interviews with participants in Australian English. Interviews were audio recorded on iPhone 8 with rode microphone.
2. Consent: Each participant was provided a Participant Information Form and a consent form. Participants were asked explicitly asked about inclusion of their material in the open- access databank and provided informed consent.
3. Ownership and Access: R01-Sarina Kilham. Open-Access Data Archive- Creative Commons Attribution Non Commercial CC BY-NC
4. Collection Mode: Audio recorded semi-structured interview. Interviews conducted in person or via online meeting software.
5. Sampling Method: purposeful sampling via open invitation to community of practitioners.
6. Methods for processing the data: Interviews were recorded in multiple audio-files to prevent data loss by stopping and re-starting the audio recorder. Audio files were combined in the software "Descript" and exported as a single audio file. The single audio file was transcribed by AI-Tool in the software "Descript" and checked by a human for accuracy. Transcripts were sent to participants to for accuracy checking, and the version included here incorporates any amendments or rectifications from the participants.
7. Instrument- or software-specific information needed to interpret the data: Software: Descript. Used for AI-transcriptions and combining multiple audio files into single file.
8. Standards and calibration information, if appropriate: n/a
9. Environmental/experimental conditions: n/a
10. Describe any quality-assurance procedures performed on the data: Sarina Kilham checked all transcriptions against the original audio for accuracy. Participants were sent transcriptions for checking.
11. People involved with sample collection, processing, analysis and/or submission: R01-SARINA KILHAM

DATA & FILE OVERVIEW

1. File List: 001-interviewaudio_p01_catrionamacmillan_v01.mp3: single audio file of interview 001-interviewtranscript_p01_catrionamacmillan_v01.txt : transcript of audio Readme.txt: metadata, license and file data.
2. Relationship between files, if important: Dataset files can be used individually or as a dataset collection.
3. Additional related data collected that was not included in the current data package: No

4. Are there multiple versions of the dataset? No

DATA-SPECIFIC INFORMATION FOR: 001-interviewtranscript_p01_catrionamacmillan_v01.txt

1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a 6: Kind: text format 7: word count: 12,889

DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_catrionamacmillan_v01.mp3

1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6. Duration: 1 hour 31 minutes
7. Audio channels: mono
8. Sample rate: 44.1kHz
9. Kind: mp3 audio

CITATION TOPICS Web of Science Macro Level Citation topic: Social Sciences Web of Science Meso label: 6.86 Human Geography 6.153 Climate Change 6.153 Climate Change 6.153 Climate Change 6.263 Agricultural Policy 6.263 Agricultural Policy 6.303 Sociology 6.303 Sociology Web of Science Micro label: 6.86.149 Gentrification 6.153.558 Climate Change Adaptation 6.153.742 Science Communication 6.153.2227 Strategic Environmental Assessment 6.263.898 Farmers 6.263.1407 Urban Agriculture 6.303.1915 Public Sociology 6.303.2393 Social Policies

--END---

Excel copy of all answers to the questionnaire, with column names translated to English and any identifying data (name, e-mail) excluded.