Poster presented at the Research Data Alliance 5th Plenary Meeting, March 2015. To best encourage data publishing by scientific researchers, the burden of submission needs to be low. Data archiving at the time of and in conjunction with article publication can be an effective means, by catching authors when they’re motivated and tying data submission into an already-familiar publication process. Here we share Dryad’s experiences with integrating journals using various workflows.

A list of NIH-supported repositories that accept submissions of appropriate scientific research data from biomedical researchers. It includes resources that aggregate information about biomedical data and information sharing systems. Links are provided to information about submitting data to and accessing data from the listed repositories. Additional information about the repositories and points-of contact for further information or inquiries can be found on the websites of the individual repositories.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

ABSTRACT This paper analyzes the indexing policies of Brazilian journals on Information Science. It considers the scarce approach to the subject in the context of scientific communication, as well as the pragmatic need to systematize the action of assigning keywords by the author of the publication. It aims to analyze the online guidelines for assignment of keywords to articles during the submission process. It is a descriptive research that follows a qualitative and quantitative methodology. It can be characterized as a documentary research as the data was collected from the publication policies and guidelines for authors that are made available by the journals. We also conducted a content analysis to systematize the collected data. The results reveal the existence of guidelines related to the number of terms, mostly connected to selection in indexing. This was not the case for the specifications of the depth of terms and the indexing language, despite the referral to the latter in a total of five journals that use a controlled language. We conclude that Brazilian journals of Information Science need to pay a greater attention to the implementation of indexing policies in order to provide a greater assertiveness to the authors, especially during the attribution of keywords.

Research data related to the figure panels that are represented in the manuscript.

The present questionnaire survey measured experiences and opinions about academic writing. Regarding the questionnaire method, it was essential to survey both students and lecturers, as this is the only way to get an accurate picture of the area under investigation. The questionnaire survey of lecturers (n=231) was carried out in the summer of 2021 and that of students (n=132) in February 2022.

This folder contains data applicable for submission to Scientific Data for the article "Assessing the Digital Disability Risk in Older Adults in China," authored by Dan Chen and Lijian Wang. It includes:Sample 1 Questionnaire and Sample 1 Data, corresponding to Sample 1 in the article.Sample 2 Questionnaire and Sample 2 Data, corresponding to Sample 2 in the article.

Summarizing past submissions to our sister journal, "Journal of Occupational Health."

Dataset

This dataset was created by tornikeo

Contents

Researchers seeking to share their data with coordinating centers such as the National Database for Autism Research (NDAR), face numerous barriers to establishing new connections and maintaining existing ones. We sought to dramatically reduce the time and money required to establish and maintain the interoperability of data between research centers, by establishing a process where manual recoding of data is replaced by data sharing instructions in the form of extraction and transformation scripts. Over the course of seven typical (20-60 subjects, 400-1000 fields each) data submissions to NDAR, the need for duplication, retranscription, or restructuring of the source data was fully eliminated. Separating the extraction and transformation scripts from data files also eradicated the impact of additional data collection on the time required to repeat successful transmissions. Revision controlled management of these scripts also provided a new benefit: traceability of the transformation process itself. Now, point-in-time retrieval of extraction scripts and explanations for modifications to the data sharing interface are possible. This method has proven to be successful and efficient for interfacing research data with NDAR. It presents little-to-no impact to transmitting investigators’ data, ensures high data integrity, trivializes the complexities of repeatedly modifying a growing dataset over time, and introduces traceability to the collaborative process of integrating two collections of data with one another.

Research integrity in Instructions for Authors in Japanese medical journals using ICMJE Recommendations: a descriptive literature study

Description of the data and file structure

The dataset (csv) includes nine files below.

Data of Nos. 1) to 3) files were used in Table 1 (Background information for the evaluated medical journals) in the article.

1) Background_information_ICMJE: Background information of ICMJE member journals

2) Background_information_Eng: Background information of JAMS English-language journals

3) Background_information_Ja: Background information of JAMS Japanese-language journals

Data of Nos. 4) to 6) files were used in Table 2 (Evaluation of research integrity topics, including those described in the ICMJE Recommendations) in the article.

4) Integirty_topics_ICMJE: Integrity topics of ICMJE member journals

5) Integirty_topics_Eng: Integrity topics of JAMS English-language journals

6) Integrity_topics_Ja: Integrity topics of JAMS Japa...

The draft guidance document clarifies the requirements for eligible drug submissions and applications under the administrative pathway. These submissions and applications do not contain scientific data, or require regulatory review.

Data from survey's conducted as part of PLOS' project on incentivising best practice for data sharing. Surveys were run to assess the impact of two solutions that were being tested - the integration of the Dryad repository with the PLOS Pathogens submission system and the possible addition of an Accessible Data icon to articles in any PLOS journal using either Dryad, Figshare or OSF repositories. Submitting authors were emailed a survey shortly after completing their submission. This dataset contains the following files: 1) S1_DryadIntegration_Public.xlsx Results from the survey sent to PLOS Pathogens submitting authors about the Dryad integration. 2) Dryad Integration Survey Instrument.pdf Survey questions sent to PLOS Pathogens submitting authors. 3) S2_AccessibleDataLinks_Public.xlsx Results from the survey sent to submitting authors at PLOS Biology, PLOS Computational Biology, PLOS Genetics, PLOS Medicine, PLOS Neglected Tropical Diseases, PLOS ONE and PLOS Pathogens about the Accessible Data feature. 4) Accessible Data Survey Instrument.pdf Survey questions sent to PLOS Biology, PLOS Computational Biology, PLOS Genetics, PLOS Medicine, PLOS Neglected Tropical Diseases, PLOS ONE and PLOS Pathogens submitting authors. Note, PLOS Pathogens authors were asked to complete one survey, which comprised of both the Dryad integration and Accessible Data questions. Free text answers have been removed for the survey data for anonymisation purposes. The question on country has also been adjusted to show the author's region.

PDF of our related publications for extended paper submission in Transactions on Electronic Devices.

Questionnaire data for DRYAD 2018 07 26Data from questionnaires sent to authors of papers in the research domain of Ecology. The column header are mostly self-explanatory. They are: ResponseID: a serial number linking rows corresponding to multiple submissions of the same manuscript (MS). Note that some MSs were submitted repeatedly to the same journal. Invited MS: Was the manuscript invited by the journal for publication? Round start: A serial number for the round of submission of each manuscript, beginning with 1, and incrementing upwards. Round end: A serial number for the outcome of each submission round, beginning with 2 and incrementing upwards. Note that the final round of submission is given identifier 99. Journal start: To which journal was the MS submitted in this round? Journal end: To which journal was the MS next submitted? Note that this may be the same as Journal Start, if the manuscript was not rejected. If it was rejected, then it will (typically) differ. JIF st...

Data included in this submission support the analysis conducted for the report "Nontechnical Barriers to Geothermal Development" which is linked bellow. These data include information about the power purchase agreements (PPAs) analyzed for the report, inputs and model results for the pro forma economic analysis, and outputs from the regression analysis conducted on PPAs comparing geothermal and other power generation technologies.

1Parameters of sampling sites.xlsx is used for producing figure 1a, figure S2a, figure S3.

2Light transmittance and peak period duration in micro-erosion experiments.xlsx is used for producing figure 1b-h.

3CO2 frequency distributions.xlsx is used for producing figure 2a.

4Activation energy distributions.xlsx is used for producing figure 2a.

5Thermochemical indicators of sediments.xlsx is used for producing figure 2b-c.

6Grain size distribution of sediments.xlsx is used for producing figure 3a.

7Grain Size parameters of sediments.xlsx is used for producing figure 3b-c, figure S2a-b.

8Particulate organic carbon content of sediments.xlsx is used for producing figure 3b-c, figure S2a-b.

9Fluorescence volume of filtrate.xlsx is used for producing figure 4.

10Resuspended sediment concentration in micro-erosion experiments.xlsx is used for producing figure S1.

This "Chemistry Journal Data Submission and Sharing Policies Checklist" was created in March 2017 for a Research Data Alliance (RDA) Publisher Forum at the 253rd American Chemical Society Meeting in San Francisco, CA. The Forum was sponsored by RDA and ACS Publications.
The chemical data journal policies checklist led to an observation suggesting an increased desire and requirement to share machine-readable spectral data within the chemistry community. Moreover, several publishers were already accepting machine-readable chemical structures. These conversations continued and helped lead to a follow-up discussion and workshop sponsored by NSF entitled: "FAIR Publishing Guidelines for Spectral Data and Chemical Structures." See the Open Science Framework link in the References section for more information.

This article addresses the underrepresentation of Global South scholars in Global North journals. In order to explore this issue, we conducted a study on the submission decisions of Global South scholars, with a focus on International Relations (IR). We collected novel data on IR scholars based in Latin America and conducted a conjoint experiment on a sample of 446 scholars. Our study provides the first experimental evidence of journal submission choice in Political Science in the Global South. Our findings indicate that both journal attributes and individual characteristics impact the choice of journal, including factors such as language, editorial location, and acceptance rates. This research has important implications for the discipline and for journal editors in the Global North, as it provides valuable insights on how to promote diversity in academic publishing as well as the limits of such strategies.

Share my research data in figshare for submission to scientific journals.