section
stringclasses 339
values | question
stringclasses 979
values | answer
stringlengths 4
13.2k
| hash
stringclasses 782
values | source
stringclasses 1
value |
|---|---|---|---|---|
Data Collection
|
What data will you collect or create?
|
This project will collect research data only.
|
32c34ea76f9ca1848a2bbc210ae425c1
|
dmponline.dcc.ac.uk
|
Data Collection
|
How will the data be collected or created?
|
The data will be collected from software associated with the equipment and will be processed as standard data or text files.To ensure, that data collection is of high quaility, repeat samples and measurements will be conducted. All data will also be peer- reviewed to ensure that it is correct and that ensure data entry validation. All data analysis will be performed in either Origin or Matlab. Git software will be used for version control and to ensure appropiate folder structures for all data. Folders will be organised according to date and will contain a description of the data inside, so that data is easy to find, understand and reuse. Any code used to analyse the data will also be stored and Git software will be used to ensure version control, accept or disregard and log changes to the code. All figures produced will also be saved as Matlab figure files, so that all data plotted can directly be extracted from the figure.
|
32c34ea76f9ca1848a2bbc210ae425c1
|
dmponline.dcc.ac.uk
|
Storage and Back-Up
|
Where will your data be stored and backed-up during the project?
|
DataStore provides enterprise-class storage with guaranteed backup and resilience. Data is retained on DataStore until deletion by the data owner. The backups provide resilience in the case of accidental deletion and against incidents affecting the main DataStore storage. The data are automatically replicated to an off-site disaster recovery facility, with 10 days of file history visible online. Off- site tape backups keep 60 days of history of the filesystem. The 60 day rolling snapshots allow important data to be recovered to a prior state, by request if beyond the visible period. Sensitive data stored on DataStore will be further protected by the use of 256 bit encryption as required by University policy.
|
13720863b3cdac72442e5c596cffa3f1
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
Where will the data be stored long-term?
|
Interview data in the form of anonymised transcripts will be deposited in the UK Data Service for long-term preservation and re-use.
|
13720863b3cdac72442e5c596cffa3f1
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
Which data will be retained long-term?
|
Anonymised interview transcripts, researcher field notes, relevant metadata and contextual data (See section 6 for details) Informed Consent forms will be given to the supervisor for safekeeping.
|
13720863b3cdac72442e5c596cffa3f1
|
dmponline.dcc.ac.uk
|
Data Sharing
|
How will you maximize data discoverability & access?
|
Anonymised interview transcripts will be deposited as safeguarded data with the UK Data Service for preservation and re-use. The lead researcher will grant a non-exclusive, royalty-free licence to UKDS to hold, make copies of, and disseminate copies of the data, in accordance with specified access conditions. A permanent dataset identifier DOI will be included in all publications arising from the project in order to enable discoverability. Interview transcripts will be accompanied by metadata allowing potential new users to identify whether the data are suitable for their research purposes. The UK Data Service will apply a suitable end-user license to enable re-use. Information about the data sharing process will be shared with the Growing Up in Scotland study team.
|
13720863b3cdac72442e5c596cffa3f1
|
dmponline.dcc.ac.uk
|
Responsibilities & Resources
|
Who will be responsible for the research data management of this project?
|
The primary responsibility for study-wide data management lies with the main researcher, Dalia Avello Vega, who has received training from the University of Edinburgh in data protection, information security and working with sensitive data.
|
13720863b3cdac72442e5c596cffa3f1
|
dmponline.dcc.ac.uk
|
Responsibilities & Resources
|
Will you require any training or resources to properly manage your research data throughout this project?
|
The researcher has undertaken all required and recommended Data Management trainings. No further trainings are expected at this time. The size of the data will be negligible for storage purposes. No data repository fees are expected at this time.
|
13720863b3cdac72442e5c596cffa3f1
|
dmponline.dcc.ac.uk
|
Defining your data
|
Data generated for this project:
|
Raw sequence data for three stalk-eyed fly species - Teleopsis dalmanni, Teleopsis whitei, and Diasemopsis meigenii will be generated over the course of my thesis. Data Type Species Description File size File Format Status Pacbio HiFi long read (DNA) T. dalmanni T. whitei D. meigenii male, 1 female for each species ~180GB .fastq.gz sequenced Illumina Short read (DNA) T. dalmanni T. whitei D. meigenii 5 males, 5 females for each species ~260GB .fastq.gz sequenced Iso-seq (RNA) T. dalmanni T. whitei D. meigenii 1 male, 1 female for each species ~4.2GB .fasta .bam sequenced Omni-C (DNA) T. whitei D. meigenii 1 male, 1 female for each species ~100GB (approx) .fastq.gz exp. Aug 2024 Omni-C (DNA) T. whitei 1 Drive Male ~50GB (approx) .fastq.gz exp. early 2025 RNA-seq T. dalmanni T. whitei D. meigenii 15 males, 10 females per species. Two tissues per individual (wing discs & antenna imaginal discs) ~200GB approx .fastq.gz exp. 2025 Fly samples from all species were obtained from breeding stocks maintained by the Pomiankowski Research Group (University College London), and all extraction and sequencing has been carried out by NEOF. Existing Data sets used in this project: An existing dataset generated by Pomiankowski Research Group (University College London) will be used during chapter 2 of my thesis. Data Type Species Description File size File Format Status Illumina Short read (DNA) T. dalmanni 50 drive males, 50 non-drive males 290GB .tar.gz sequenced
|
0a354c1b76d7dee2386341322e587241
|
dmponline.dcc.ac.uk
|
Data Collection
|
How will the data be collected or created?
|
Data will be obtained through completing the questionnaires on JISC on a tablet.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Documentation and Metadata
|
What documentation and metadata will accompany the data?
|
I will supply a glossary and instructions on how to use and interpret the data alongside the dataset when uploading to Open Science Framework.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage any ethical issues?
|
Participant data will remain confidential and will be stored safely in the researcher's OneDrive in a password protected folder. Participant data will also be identified using a code that the participants create themselves. Only the participant and researcher will be aware of these codes.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage copyright and Intellectual Property Rights (IPR) issues?
|
The data will be the intellectual property of both the University of Bradford and FIFA.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will the data be stored and backed up during the research?
|
The data will be stored safely on the researchers university OneDrive account.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will you manage access and security?
|
Only the researcher and research assistant will have access to the data and this will be behind a password protected folder.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
Which data are of long-term value and should be retained, shared, and/or preserved?
|
This data will have strong implications for the pressure of the football from grassroots to the elite level. Therefore, the data should be retained and preserved so it is useable in subsequent studies as secondary data.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
What is the long-term preservation plan for the dataset?
|
This data will be available on Open Science Framework, where researchers will have access to it.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Data Sharing
|
How will you share the data?
|
This data will be available on Open Science Framework, where researchers will have access to it.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Responsibilities and Resources
|
Who will be responsible for data management?
|
Myself and the research assistant.
|
e2850d3db5701ed151f321ec463153af
|
dmponline.dcc.ac.uk
|
Data
|
If you are re-using existing data, what licences or terms of use will you have to comply with?
|
No existing data.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data
|
How will new data build on and relate to existing data?
|
No existing data.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data
|
What types of new data will you create and in what format?
|
At the scoping phase, we will create interviews and qualitative data collected from semi-structured questionnaires stored as text documents initially then collated into a SQL database. In the intervention design phase, we will use surveys and lab-in-the-field methods to measure the preferences of participants over different types of intervention. This will be collected using tablets and stored as encrypted quantitative data on secure servers located in the EU. We will collect similar survey data on behaviour, economic outcomes, beliefs about climate shocks, and attitudes towards water projects and payments using tablets stored on the same secure servers.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data
|
Can you estimate the size of the data you will create?
|
At the scoping phase this will be quite small as we are considering less than 50 interviews, certainly under 50mb.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data
|
What methods will you use to capture your data and how will these ensure that your data are high quality?
|
For scoping, semi-structured interviews conducted by an experienced researcher, partly with key informants, partly with focus groups, as well as household interviews with end-users of water projects.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Documentation and description
|
What contextual information is needed for you or someone else to understand your data?
|
As this data will be in the form of semi-structured interviews, the only contextual information required will be basic understanding of the climate risks faced by pastoralist communities in Northern Kenya, as well as basic information on the design and use of water boreholes in Turkana.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Documentation and description
|
How will you capture contextual information?
|
For qualitative scoping work, where any important contextual information is required, the person conducting the interview will include this as endnotes to the interview transcript.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Documentation and description
|
Will you use any metadata standards?
|
Not necessary for scoping data. For the main experiment, we will use a readme file to ensure all the different piece of data and documentation are properly stored and understandable.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection
|
Where will you store your data and how will you ensure that they are backed up? Will you use University-manageddata storage or will you need to set up your own back-up procedures?
|
All data will be stored on a secure Sharepoint site that has been created for this project on the University of Exeter Sharepoint site. We will also archive this data separately on the Uni Exeter Research Data Storage system. Only relevant members of the research team will be able to access this data to ensure personally identifiable information is protected. Analysis will be performed on cleaned, anonymized, data. Survey data will be encrypted when stored on the ONA Data servers.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection
|
How will you secure your data? What methods will you use to restrict access to your sensitive data? Will you encrypthardware when working off campus?
|
At the scoping stage, sensitive data will not be collected, and all data we collect will be stored on a secure Sharepoint site, with any physical copies of transcripts destroyed after interviews are transcribed and uploaded. Access to raw interview transcripts with identifiable information will be limited to research team members. For the main experiment, all personally identifiable data will be stored on password protected Sharepoint sites, and should data need to be stored temporarily on portable devices they will be encrypted. We will securely share data among collaborators by managing access to the project Sharepoint page and managing access to the data on the ONA Data server.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection
|
How will you protect your research participants? Will you obtain informed consent for data retention and sharing?How will you anonymise data to safeguard the privacy of your participants?
|
We will obtained informed consent including details on data retention and sharing. All information shared as part of this data will have names and any other identifiable information removed before being shared. We will anonymise data by removing all personal identifiers and obscuring geographic information to an appropriate level where individual households cannot be identified.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Retention and preservation
|
Which subsets of your data will you keep at the end of your project? Will you retain anonymised versions but destroypersonal data and identification keys? Will you retain all of the raw data or is a processed version more suitable topreserve? Do you need to keep all intermediary files or would you only need to refer back to input files or a finalversion?
|
At the end of the scoping phase of this project we will only keep the anonymous sections of interview transcripts we include in research publications or other outputs. We will only keep fully-anonymous data with all identifiable information removed. No intermediate or original files would need to be kept. For the main experiment, we will keep the survey data, retaining anonymised information without identification keys beyond the end of the project. We will keep anonymised intermediary files for completeness.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Retention and preservation
|
How will you prepare your data for long-term preservation? Are you able to convert your data to open file formats?What contextual information do you need to retain so that your data remain understandable and usable?
|
Interview transcripts will be stored in open file formats and will not require any contextual information beyond the notes included by the enumerator. We will delete all personally identifiable data from the dataset and store it in standard CSV and STATA-dta formats on the PI's website and on the journal website when it is published. We will retain the survey manuals and questionnaires to ensure it is understandable and usable.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Retention and preservation
|
Where will you archive your data to ensure that they are preserved and sustained for several years after your projectends? Will you submit your data to a specialist data repository/centre and if so, have you consulted them about yourrequirements?
|
We will use the University of Exeter's institutional repository and the Research Data Services system for secure long-term storage.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Retention and preservation
|
How big will your final dataset be and will there be any costs associated with archiving them, such as data depositcharges?
|
The dataset will be quite small as it is only a small number of interview transcripts and will not require any costs to archive, and a larger number of quantitative surveys that are not particularly large. We do not anticipate any costs to archiving this data.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data sharing
|
Can you demonstrate that you'll plan ahead to maximise data sharing? For example, will you only share a subset ofthe data where informed consent was granted for data sharing?
|
We will only share identifiable information within the research team, and only fully-anonymised portions of the interviews will be included in any external communication where participants have consented to this. We will include data sharing as part of the consent process for all observations to demonstrate our commitment to open data.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data sharing
|
Are there any reasons why you would not be able to share some of your data? Would they be covered by dataprotection legislation, licence restrictions, or contractual confidentiality clauses? Are there ethical reasons why yourdata should not be released?
|
There are no reasons not to release the fully-anonymous interview data from scoping phase. We will not share the exact geolocations of households from surveys, which will be helpful for analysis as it will allow us to compute distances to various key items of interest. We will not share exact geolocations for privacy and ethics concerns, and will instead share obscured geographic data that cannot be used to identify households.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data sharing
|
When will you share your data? Will data be made available upon first publication of findings or within a limitedperiod after the end of the project? Do you need to delay publication to allow for commercialisation or patentapplications? Will you embargo your data to allow for a limited period of exclusive use?
|
We will share the relevant segments of the interviews as quoted within the research publications. We will not need to delay sharing of this. We will share data upon first publication of findings, with no reason to delay beyond this point. We will not embargo the data beyond the date when the relevant data is used in publication.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data sharing
|
How will you disseminate your research? Will you include a data access statement in published articles? Does yourchosen method of data preservation provide a persistent identifier such as a Digital Object Identifier? What licenceswill you assign to your data?
|
We will disseminate research via academic publication. Data access statements and DOIs will not apply to the segments of interviews included in publications and grant applications. The institutional repositories we will use at the University of Exeter will have a DOI that can be shared.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection Impact Assessment
|
What do you require this personal data for? What is the purpose of using the personal data?
|
For scoping work, we will not keep this personal data as part of the data beyond identifying key demographic characteristics. Personal data will not be used in the analysis or stored or shared. For the main experiment, we will need personal data to track participants in order to implement treatment and find them for follow- up surveys.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection Impact Assessment
|
How are you making people aware of how their personal data is being used? Do you need to update your privacynotice?
|
Participants will be informed that their personal data will not be shared and all information shared beyond the research team will be anonymous.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection Impact Assessment
|
How are you ensuring that personal data obtained from individuals or other organisations is accurate? How will youkeep it updated?
|
We will be collecting information directly from participants, and there is no need to ensure accuracy beyond this. We will not need to keep it updated for this stage of the project.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection Impact Assessment
|
How long will you keep the data and how will you dispose of it? Are the retention periods on the University RetentionSchedule?
|
We will dispose of identifiable data after project completion. We will store anonymised data long-term in keeping with University of Exeter policy.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection Impact Assessment
|
Where will the data be stored? If storage is in the cloud, where is the physical server? Will you need to transfer thedata outside the EEA? If yes, how will you ensure adequate protection?
|
All data will be stored securely on Sharepoint during analysis, with a backup on the Research Data Services system, before being archived on the Uni. Exeter's ORE repository.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Data Protection Impact Assessment
|
Please briefly document below any risks with the use of personal data and how you will control such risks. Includetechnical controls (IT security, encryption etc), physical controls (location, locked room etc), personnel controls(training, access control etc), and procedural controls (contract, polices etc).
|
We will control these risks by storing all data on a secure Sharepoint site that we regularly monitor to maintain secure access by team members only. We will encrypt all survey data when it is being transferred to the ONA Data survey server platform and delete data from the tablets on which it is collected after upload. We will only store data temporarily in encrypted form on portable devices, which will be kept in locked drawers in locked officers when not in use.
|
f4ec4f0e37f9c5c3d1da2c6bd4ba22e0
|
dmponline.dcc.ac.uk
|
Summary
|
Provide a dataset summary
|
Outputs from computer simulations, including parameters used to obtain them Arrays of numbers obtained from model runs. Two models will be producing these outputs: a forward model of carbonate platforms and a diagenetic models simulating the composition and physical characteristics of carbonate sediment. The outputs will include numbers characterising the concentrations of ions in sediment, porosity of the sediment, type of sediment deposited in a model grid. Empirical data Photos of fossils and measurements extracted from these photos Digitized photographs and processed spatial datasets of carbonate platforms obtained from project collaborators Numerical data containing additional variables describing the photos and spatial datasets (such as geographic position, stratigraphic position, sample numbers).
|
63546952556f4a84004bddabdde4460b
|
dmponline.dcc.ac.uk
|
FAIR data and resources
|
Making data findable
|
Datasets are stored in Open Science Framework (osf.io) using its metadata system and DOI. In parallel, it is automatically backed up to Yoda. Yoda provides a shared and secured data-storage. It allows to store data for a period of at least 10 years in a frozen state, together with a standardized set of metadata, and to publish the dataset with a DOI, making the dataset findable in the Yoda Catalogue via its metadata. The code used to generate the datasets obtained from simulation allows to reproduce it fully, but datasets are stored to reduce the cost of computation. Each model run is stored together with the full set of parameters and parameters are described in software documentation (GitHub and Zenodo). Photographs and associated numerical datasets are stored together with descriptions of how they were obtained and the code used to process them allows to reproduce all analyses carried out on them (GitHub and Zenodo).
|
63546952556f4a84004bddabdde4460b
|
dmponline.dcc.ac.uk
|
FAIR data and resources
|
Making data openly accessible
|
All data will be shared in public repositories (Open Science Framework and Yoda) without restrictions. For simulation data, code required to reproduce the data is shared as well, together with tools allowing to obtain the same results on different architectures (using virtual environments).
|
63546952556f4a84004bddabdde4460b
|
dmponline.dcc.ac.uk
|
FAIR data and resources
|
Making data interoperable
|
The datasets created in simulations will be stored in the HDF5 format (https://portal.hdfgroup.org) which allows storing large and complex structured datasets and can be read using libraries for all major languages (Python, R etc). How the datasets were produced will be documented in associated GitHub repositories and the parameters used to obtain each run will be stored in the same file along with the results. Photographs are stored as either .JPG or .TIFF and the associated numerical data as .csv files. Whenever these files had been used for analyses, code used to open and manipulate them (in Python, R, Julia and, occasionally, Matlab) will be provided.
|
63546952556f4a84004bddabdde4460b
|
dmponline.dcc.ac.uk
|
FAIR data and resources
|
Allocation of resources and data security
|
No personal information will be collected nor stored. All output will be digital. Data curation is carried out with the support of the Data Steward at Utrecht University.
|
63546952556f4a84004bddabdde4460b
|
dmponline.dcc.ac.uk
|
Data and software outputs
|
The data and software outputs your research will generate and/or re-use
|
The primary data generated by this project will be accelerometer data, taken from devices worn by participants on their wrist for 7 days at a time. This will measure movement (in miligravities) 100 times a second, 24 hours a day, for 7 days each; this allows analysis of a participants' 24-hour movement behaviour profile (including physical activity, sedentary behaviour, and sleep) but does not collect location information or heart rate. The devices collecting this data are Axivity AX3 devices. The raw data produced by the devices is in the .CWA (Continuous Wave Accelerometer) data file format, an open source format developed by Axivity. The raw data will be extracted from the devices using Axivity's open source program, Open Movement OMGUI. It will then be processed using the open source 'R' package, GGIR, which will produce an output in .CSV (comma separated values) format, which will then be used for the statistical analysis of the data in R. The data will be linked via unique study identifiers to the existing data gathered by MEIRU's 'Long Term Conditions Survey' (LTC survey) as part of the larger 'Healthy Lives Malawi' project. The LTC survey already gathers detailed information on participants including their demographic details, anthropometric data, self-reported behaviour data, and self-reported data on a range of health conditions. This data is already covered by a separate Data Management Plan. The secondary data of this project will be the collection of spirometry (lung function) testing for participants in the LTC survey. Alongside the existing anthropometry data collected, participants will in addition be invited to have their lung function assessed using portable spirometers (Vitalograph COPD-6). This will be recorded as their Forced Expiratory Volume in 1 second (FEV1), Forced Expiratory Volume in 6 seconds (FEV6) and FEV1/FEV6 ratio. This information will be entered into tablets via the open-source ODK Collect application by fieldworkers, at the same time as completion of the LTC survey. The survey responses will be uploaded to a locally-hosted ODK Central server, and subsequently loaded into a Microsoft Access database on MEIRU's servers.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Data and software outputs
|
The metadata and documentation that will accompany the outputs
|
An 'Accelerometer Field Log' will be completed by field workers at the time of distribution of the accelerometers. This will include a unique participant ID, serial number of the device being delivered, date and time of the device being delivered to and collected from the participants. The unique participant ID (the 'Accelerometer Link Number') will at the same time be entered into the LTC survey on the ODK Collect application on the tablet, to allow linkage to the pseudonymised data from the LTC survey, for subsequent analysis alongside LTC survey data such as data on long term conditions. Spirometry data will be entered directly into the ODK Collect application on the tablet, to allow linkage with the LTC survey that includes participant age, sex, height and weight to allow further analysis of lung function against reference ranges. The files that will be downloaded from the accelerometers will be downloaded to a secure folder on MEIRU's servers, and will be named in the format 'xxxxx_00000xxxxx.cwa' where the first 5 digits are the serial number of the device, and the last 5 digits are the participant's 'Accelerometer Link Number'. The data captured via the ODK Collect application will be uploaded to MEIRU's ODK Central server, and then loaded into a Microsoft Access Database which stores the LTC survey data. Every participant recruited to any MEIRU study is assigned a unique identifier (their 'ident') which persists across studies, and in addition is assigned a study identifier ('STID') for the purpose of the study. A data dictionary has been made that documents all the variables collected within the LTC survey. This has been updated to include names and descriptions of variables added by this study, specifically, those variables extracted from the accelerometer data, and the values generated by the spirometry (FEV1, FEV6, and FEV1/FEV6 ratio). Study-level documentation for the LTC has also been produced, in the form of a Data Documentation Initiative (DDI) codebook and MEIRU's Data Management SOP. Data tables will be documented using Nesstar publisher and this documentation will be displayed on the MEIRU internal data catalogue, along with the latest version of the data table from the database in Stata (and potentially other) format. The data will be replaced on the catalogue on a regular/ad hoc basis. The data documentation without the datasets will also be available on the external version of the catalogue where the study team can direct external interested parties for more information and chance to request data. Code in R used for statistical analysis, and anonymised processed data for analysis, will be deposited in the University of Glasgow's 'Enlighten: Research Data' repository. Files deposited in Enlighten: Research Data will be given a Digital Object Identifier (DOI) and the associated metadata will be listed in the University of Glasgow Research Data Registry and the DataCite metadata store. Metadata about datasets held in the University Registry will be publicly searchable and discoverable and will indicate how and on what terms the dataset can be accessed. Information about datasets from the Registry will be displayed on researcher profile pages on the University of Glasgow webpages which will also increase the visibility of the datasets. Only anonymised data for analysis will be transferred to University of Glasgow servers; all pseudonmyized data will remain on MEIRU's secure database.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Data and software outputs
|
When you intend to share your data and software
|
Raw data will be deposited within MEIRU's databases, and subsequent anonymised processed data will be deposited within the University of Glasgow's Enlighten: Research Data repository at the time of submission of the PhD thesis based on this research project and at the time of publication of any work based on this data. A 'Transfer of Data' agreement between the University of Glasgow and MEIRU was signed on 30th April 2020.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Data and software outputs
|
Where your data and software will be made available
|
Raw, pseudonymised data will be deposited in MEIRU's database, which has a detailed data access policy document that describes the general processes and procedures involved in accessing the MEIRU data, available on request from [email protected] . Anonymised, aggregated processed data will be deposited in the University of Glasgow's 'Enlighten' data repository and will be available at the time of publication of any output based upon this research. All publications based on this data will be done so via open access arrangements to ensure they are openly available.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Data and software outputs
|
How your data and software will be accessible to others
|
Preliminary data exports will be carried out on a regular/ad hoc basis by the data scientist who will combine the data to run preliminary analytical checks which may feed into questionnaire update/ field protocol refining/re-training etc. Data will be communicated securely from data scientist to scientific team members (i.e., by University of Glasgow FTP Transfer Service); participant identifiers such as name will not be included on exports. Summary data regarding numbers recruited/preliminary findings will be printed and shared with the wider LTC/MEIRU team on a regular basis. Summary data and feedback based on the data which require actions by the field, data or lab teams will also be printed and shared on an ad hoc basis. Subsets of the full data will be available on request from MEIRU by external researchers, who can see the external version of the catalogue on MEIRU's website.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Data and software outputs
|
Whether limits to data and software sharing are required
|
Raw data deposited within MEIRU's databases will be linked to pseudonymised data from the LTC survey. Access to this will be strictly controlled and limited to MEIRU's data management team in order to maintain the privacy and confidentiality of study participants. However, it will be possible for anonymised datasets to be shared with external researchers through application to MEIRU's data access committee. Participants will be asked at the time of recruitment to consent to having their data archived by MEIRU and linked to data from other studies.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Data and software outputs
|
How datasets and software will be preserved
|
All data collected will be deposited within MEIRU's repository on MEIRU's servers. This will only be accessible by MEIRU's data team, or securely communicated to researchers in the UK via the University of Glasgow's encrypted 'Transfer' FTP service and securely stored on the University of Glasgow's OneDrive service during the project. MEIRU's servers are backed up weekly by the University of Glasgow's FTP based backup facility (RCB FTP). MEIRU's data team will be responsible for preserving the data from the project as part of the complete LTC survey dataset for a minimum of 10 years. Anonymised, processed data will be deposited within Enlighten: Research Data. Data in Enlighten: Research Data, the University of Glasgow's Data Repository, will be issued with a Digital Object Identifier (DOI). This can be included as part of a data citation in publications, allowing the datasets underpinning a publication to be identified and accessed. DOIs will also be linked with appropriate records in Enlighten: Publications, the University’s publication repository, to enhance visibility of datasets. The associated metadata will be listed in the University of Glasgow Research Data Registry and the DataCite metadata store. The retention schedule for data in Enlighten: Research Data will be 10 years from date of deposition in the first instance, with extensions applied to datasets which are subsequently accessed. This complies with both University of Glasgow guidance and funder policies. Enlighten: Research Data is backed by commercial digital storage with is audited on a twice-yearly basis for compliance with the ISO27001 Information Security Management standard.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Resources required
|
You should consider what resources you may need to deliver your plan and outline where dedicated resources arerequired.
|
For collection of the accelerometer data, the project has budgeted for and purchased 115 Axivity AX3 devices. An equivalent of 2 months of programme/data manager time, 24 months of field and data office staff time, and 4 months of driver time has been estimated and budgeted for the project. For the spirometer data, 14 portable COPD-6 spirometers with disposable, single-use mouth filters will be required. The personnel requirements are included in the above estimates. Additional contributions toward the overheads for MEIRU's servers and other infrastructure are included in the budget.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Intellectual property
|
What IP your research will generate
|
It is not anticipated that this research will produce any significant IP.
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Intellectual property
|
Provide the name and contact details for the person in your organisation (e.g. Technology Transfer Officer or BusinessDevelopment executive) who can act as a point of contact for Wellcome in connection with the protection andcommercialisation of this IP
|
The University of Glasgow's Research and Innovation Services: College of Medicine, Veterinary & Life Sciences (MVLS) IP & Innovation Managers, Rachel Colman ( [email protected] ) and Natasha Tian ( [email protected] )
|
cf3f2ad6e5236f6800c6e0f8c4f7711d
|
dmponline.dcc.ac.uk
|
Data description
|
What types of data will be used or created?
|
1. The study relies on a qualitative research design to accurately capture the actual reality of corruption in the Indonesian police. Specifically, it will deconstruct the dominant, taken-for-granted knowledge about police corruption in Indonesia before reconstructing it with a more critical and emancipatory explanation. The study actualizes it by using a combination of semi- structured interviews and document searches as data collection techniques, thereby treating police officers and all documents that inform their corrupt practices as primary and secondary data sources, respectively. 2. The study utilizes semi-structured interview techniques to explore police participants' interpretations and meanings of corrupt behavior in depth rather than measuring their perceptions rigidly and strictly with pre-determined questionnaires. In the interview session, police participants will be asked to define corruption subjectively. Without disclosing confidential or sensitive personal or workplace information, they will then be encouraged to share their subjective understanding of, among other things, social relations in the police force, the pressures that motivate police officers to engage in corrupt practices, the techniques commonly used to commit corruption, the channels used to learn about corruption, and the rationalizations put forward in tolerating corruption. Based on participants' initial answers, more specific open-ended questions naturally develop and flow to help them answer each theme discussed in depth. Three questioning techniques will be intensified to guide police interviewees to explore their views, including prompting, probing, and waiting time. 3. In addition, the study will collect documents, both from official and unofficial sources, to complement interview data. Although secondary data, the documents collected serve as the primary source for analyzing police corruption at the structural and organizational levels. Specifically, it aims to extract the following information.
|
1c999f3ad421d88a2300a8386862f622
|
dmponline.dcc.ac.uk
|
Data description
|
How will the data be structured and documented?
|
The study will record all interview activities with prior permission from the participant. Here, it will minimize participants' concerns regarding data anonymity by removing all their identities and activating a voice-changing application. With this artificial intelligence- based application, participants' original voice recordings can be modified or distorted before being converted to MP3 or WMV format for review and transcription. The primary source is expert knowledge. The study will obtain this information from theses, books, and journals of various disciplines stored in the University of Birmingham library and their online academic databases. 1.
|
1c999f3ad421d88a2300a8386862f622
|
dmponline.dcc.ac.uk
|
Data storage and archiving
|
How will your data be stored and backed up?
|
The study will maintain data security by storing all files, both interview recordings and participant consent forms, in a centralized digital data repository at the University of Birmingham. Once the police participant signs the digital consent form and completes the interview, the researcher will immediately transfer the data to the central server in an encrypted format. During the storage period, the researcher will limit access through single access control, which means that the researcher is the only party authorized for all forms of use or transmission of data for academic purposes.
|
1c999f3ad421d88a2300a8386862f622
|
dmponline.dcc.ac.uk
|
Data storage and archiving
|
Is any of the data of (ethically or commercially) sensitive nature? If so, how do you ensure the data are protectedaccordingly?
|
The study promises the confidentiality of participants' personal and sensitive data through pseudonyms. In practice, pseudonymization will apply to participants' identities and any attributes that could lead to their identities, such as geographic location, office name, and employees' names. The study will also disguise or distort participants' original voices with voice-changing applications after the interview recording is complete, including censoring the personal information of anyone they accidentally mention in the interview. The anonymized voices will be sequentially converted into Word format files for transcription. In the transcription process, it will remove easily identifiable features of participants and replace them with fictitious names so that their identities in the results presented remain anonymous. Documents linking pseudonymous participants will be stored on a secure server with single access.
|
1c999f3ad421d88a2300a8386862f622
|
dmponline.dcc.ac.uk
|
Data storage and archiving
|
Where will your data be archived in the long term?
|
The study then stores the data for ten years starting at the end of the active project and deletes it permanently once the retention period ends. All data disposal or deletion processes will be adequately documented and notified to the participants involved.
|
1c999f3ad421d88a2300a8386862f622
|
dmponline.dcc.ac.uk
|
Data sharing
|
Which data will you share, and under which conditions? How will you make the data available to others?
|
This study aims to gain a further understanding of police corruption in Indonesia. Significantly, the results can be used to thoroughly evaluate the status quo, whose social order has long been considered the best or only existing despite allowing injustice to surface and compromising the well-being of individuals in the current police system. 1. Academically, the study makes a theoretical contribution to the critical criminology or social harm literature by clarifying the causes of police corruption in Indonesia. 2. Practically, the impact of this study can also inform and shape anti-corruption policies and actions, especially regarding the evaluation of the existing police system and the development of a fairer alternative system. 3. Apart from that, it is expected to enlighten the public, especially members of the Indonesian police, about the shortcomings of the current police system, in which police members' rights to well-being are disproportionately provided, their sense of indifference is elevated, and corrupt practices are ultimately normalized.
|
1c999f3ad421d88a2300a8386862f622
|
dmponline.dcc.ac.uk
|
Assessment of existing data
|
Provide an explanation of the existing data sources that will be used by the research project, with references
|
I will analyze policy documents, news articles, and social media contents about qi-based holistic medicine. This method is called ‘content analysis’ in my research. Some examples of the documents include: Policy Document: https://www.gov.uk/government/publications/advice-on-regulating-herbal-medicines-and-practitioners News Articles: https://www.theguardian.com/lifeandstyle/2019/jan/05/mind-body-soul-rise-holistic-wellness-makeover Social media content: https://www.facebook.com/CNHC.org.uk/posts/pfbid0skU6uTaLPuWPAKk7GdzYHfNbXgszHHTNDzYrGzjzb8FJnExEdQVNbHiq9uoMvJ8El
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Assessment of existing data
|
Provide an analysis of the gaps identified between the currently available and required data for the research
|
These data sources rarely provide insight into people’s feelings, emotions, or embodied experience. They are mostly discussing regulations, statistics, or the technical details of holistic therapies. Getting insights into embodied experience of holistic medicine is important because it can help us understand the thing that people find useful about holistic medicine and that modern medicine cannot offer. Therefore, I need to use participant observation, interviews, diary-interview, drawing, and autoethnography to collect new data. The data I will produce will generate rich and more nuanced insight on people’s experiences of holistic medicine. In so doing, the richness and nuances afforded by the qualitative data enables other researchers and policymakers to locate sites for interventions.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Information on new data
|
Provide information on the data that will be produced or accessed by the research project
|
Digital output Output type Format(s) Duration or Size Planned access One-to-one and group interview recordings Digital audio data Waveform Audio Format (.wav). 48 kHz, 24 bits, 2 channels. Up to 50 interviews, 1 hr each. Requires 30 Gb storage. Data will be used for the production of transcripts. Recordings will be deleted after transcripts are produced. Diary-interview recordings Digital audio data Waveform Audio Format (.wav). 48 kHz, 24 bits, 2 channels. Up to 50 interviews, 1 hr each. Requires 30 Gb storage. Data will be used for the production of transcripts. Recordings will be deleted after transcripts are produced. Drawing session recordings Digital audio data Waveform Audio Format (.wav). 48 kHz, 24 bits, 2 channels. Up to 50 sessions, 1 hr each. Requires 30 Gb storage. Data will be used for the production of transcripts. Recordings will be deleted after transcripts are produced. Interview transcripts Text documents Word format Up to 50 transcripts. Requires 100 Mb storage. Anonymized transcripts in Word files will be used for the duration of the project, and for the analysis of findings. Diary-interview transcripts Text documents Word format Up to 50 transcripts. Requires 100 Mb storage. Anonymized transcripts in Word files will be used for the duration of the project, and for the analysis of findings. Drawing session transcripts Text documents Word format Up to 50 transcripts. Requires 100 Mb storage. Anonymized transcripts in Word files will be used for the duration of the project, and for the analysis of findings. Field notes Text documents Word format Up to 100 field notes. Requires 100 Mb storage. Anonymized field notes will be used for the duration of the project, and for the analysis of findings. Images of drawings Digital images JPG format Up to 50 images. Requires 200 Mb storage. Images will be used for the duration of the project, and for the analysis of findings. Images of diaries Digital images JPG format Up to 1,000 images. Requires 4 Gb storage. Images will be used for the duration of the project, and for the analysis of findings. Photos taken during participant observation Digital images JPG format Approximately 2,000 images. Requires 8 Gb storage. Photos will be used for the duration of the project, and for the analysis of findings. Video recordings taken during participant observation Digital video data MP4 format Approximately 50 videos. Requires 4 Gb storage. Video recordings will be used for the duration of the project, and for the analysis of findings. Publicly available Social Media Content HTML Social Medica Websites Will be publicly available unless the content creator deletes the content Publicly available. Non-public Social Media Content HTML Social Medica Websites Will be available unless the content creator deletes the content Will ask for consent from the content creator before accessing and citing it News articles HTML News agency websites Will be publicly available unless the news agency deletes the content Publicly available. Policy documents HTML or text documents Government Website or PDF format Will be publicly available unless the news agency deletes the content Publicly available.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Quality assurance of data
|
Describe the procedures for quality assurance that will be carried out on the data collected at the time of datacollection, data entry, digitisation and data checking.
|
I will use standard methods for capturing interview data and high-quality recording devices to prevent mistranscriptions. The quality of the data (after anonymization) will also be peer-reviewed in occasions of conferences and reading groups where the work will be presented. In order to secure data authenticity, I will password protect all storage software and hardware to prevent unauthorised changes.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Backup and security of data
|
Describe the data security and backup procedures you will adopt to ensure the data and metadata are securely storedduring the lifetime of the project.
|
During data collection, all digital data will be stored in dedicated password-protected Durham University OneDrive. Signed consent forms (identifiable) would be kept separate from research data (anonymized), the breaching or loss of one not comprising the other. Transcribing interviews (including drawing session recordings) from audio, anonymizing within 3 weeks of interview, and destroying the audio file will mitigate the risks of breaching confidentiality. Anonymizing fieldnotes, diary entries, and non-public social media content will also mitigate the risks of breaching confidentiality. All digital data will be stored and backed up in secure University’s OneDrive server, as soon as possible after collection. Durham University will provide the main storage facility for all project data.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Management and curation of data
|
Outline your plans for preparing, organising and documenting data.
|
The interviews will be fully transcribed by myself, not relying on any third-party agency or AI software (e.g., Otter.ai). The interview transcript -- in Microsoft Word format -- will consist of a coded identifier to ensure participants' privacy (e.g., G001 for government official; T001 for holistic therapist). It will be presented in a tabled, uniform layout, comprising speaker tags to indicate turn-taking or question/answer sequence in conversations, numbered pages, and annotations that show clearly where amendments have been made, for example, translation to lay words or real names changed. Anonymization edits will also be placed between square brackets. Raw data will be only accessible to me. I will be responsible for recording and transcribing all data. Only anonymized data (e.g., transcripts and photos without participants’ faces), or non-anonymized data that the participants approve to be made publicly available (e.g., video diaries), will be used for public dissemination and publication. My data will be organized on folders divided by field sites. These folders will not be shared. The results of my fieldwork with anonymized data will be shared with my supervisors. Full anonymized transcripts in Word files will be used for the duration of the project.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Difficulties in data sharing and measures to overcome these
|
Identify any potential obstacles to sharing your data, explain which and the possible measures you can apply toovercome these.
|
All participants will sign a consent form (or provide oral consent) before participating in one-to-one interview/group interview/diary- interview/drawing and they will authorise the use of the data for my thesis and others possible outputs. I will use pseudonyms and not their real names to protect their privacy. However, whilst I strive to protect the confidentiality and anonymity of my research participants, my best efforts might be compromised by the specific nature of my inquiry. First, though most of my participants are part of the general public, some might be famous holistic therapists, high-ranking government officials, or renowned researchers. Although not all of them would be identifiable to the general reader, it is possible that they could be identified within the field and/or to other participants involved in the study. I plan to protect the anonymity of these elite participants through two practical ways. First, before commencing interviews, I will explain to them about the possibility of being identified within the field. They can then decide to proceed with the interview (or not) after being made known of this possibility. Second, I seek to assure participants by sharing a copy of the transcript for review after the interview so that they can verify accuracy, provide clarification, and/or flag certain sections as ‘potentially sensitive’ for my information. In sections where I am aware that participants could be readily identified, I will not disclose information by removing their roles and institutional affiliation so as to protect them from potentially personal and professional harm and preserve their anonymity. Second, certain type of diary entries (e.g., video diaries with participant’s face in it) or drawings are hard to anonymize. To tackle this risk, I took two approaches. First, I wrote in the ‘information sheet & consent form’ that participants should refrain from including non-participants’ faces or other identifiable information in their diary entries. Second, I wrote in the ‘information sheet & consent form’ (in the diary-interview and drawing section) that some forms of data are hard to anonymize, but I will still publicly disseminate them. I will inform my participants beforehand orally that they could choose not to participate, or refrain from using that type of media (e.g., videos) for diary entries or revealing their personal information in drawings.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Consent, anonymisation and strategies to enable further re-use of data
|
Make explicit mention of the planned procedures to handle consent for data sharing for data obtained from humanparticipants, and/or how to anonymise data, to make sure that data can be made available and accessible for futurescientific research.
|
Participants engaged in one-to-one interviews, group interviews, diary-interview, and drawing will be given a document that combines information sheet and consent form (called ‘information sheet & consent form’). For this group of people, before commencing the activity, I will example the document to my participants. After they sign the document, I will take pictures of it and they can keep the copy. For indirect participants who I will not collect data on but happen to be at the field sites, I have an oral script that tells them what I will be doing at the field sites. The interview transcripts will not contain any personal identifiers – they will be assigned with a coded identifier instead (e.g., G001 for government official; T001 for holistic therapy). The master code list linking the names to the coded identifiers will be stored separately from the research data, and will be destroyed as soon as reasonably possible (e.g., when anonymizing the data). In the event that any identifiable information is provided by participants during the interviews (e.g., address), I will also ensure that it is masked in the transcripts. The research data, including personally identifying data, collected for this study will be kept secured and confidential using Durham University OneDrive folder that only I can access. The images of the signed consent forms will be stored separately from the research data (audio recordings and transcripts) -- so that interview data will not be linked to the personal information on consent forms. All data will be destroyed 5 years after I receive my PhD. Until then, all data will be digitally stored on password-protected, encrypted devices. Any publications/reports containing transcribed interview data will not include the coded identifiers. Any report or publication of the data will present the data at the aggregate level, and/or with the sources of the data anonymized or disguised, so that any individual participant’s data cannot be identified. All publications will be assigned a DOI in line with Durham Open Access protocols.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Copyright and intellectual property ownership
|
State who will own the copyright and IPR of any new data that you will generate.
|
The copyright for the new data will be held by Durham University.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Responsibilities
|
Outline responsibilities for data management within research teams at all partner institutions
|
Data management will be my own responsibility.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Preparation of data for sharing and archiving
|
Are the plans for preparing and documenting data for sharing and archiving with the UK Data Service appropriate?
|
Published data will be accessible through the UK Data Service and Durham University, all publications will be assigned a DOI in line with Durham Open Access protocols. On successful submission of the thesis, it will be deposited both in print and online in the University archives, to facilitate its use in future research. The thesis will be published open access. All research data and records needed to validate the research findings will be stored for 5 years after the end of the project.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Preparation of data for sharing and archiving
|
Is there evidence that data will be well documented during research to provide highquality contextual informationand/or structured metadata for secondary users?
|
The data directly obtained in my fieldwork will not be shared with anyone due to their high sensitivity. The results of the analysis of this data will appear in my thesis and other outputs.
|
a72a44c00253892496812da143a980b5
|
dmponline.dcc.ac.uk
|
Data Collection
|
What data will you collect or create?
|
Open question survey data Likert scale survey data
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Data Collection
|
How will the data be collected or created?
|
Survey responses will be collected online using the Jisc platform. This survey data collection tool has strict information security standards (ISO27001) and data is processed in compliance with GDPR and has been approved for use by the University of Plymouth.
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Documentation and Metadata
|
What documentation and metadata will accompany the data?
|
Data from all parts of the Delphi process will be kept confidential and anonymous. Participant details will be collected with the responses, however these will only be accessible to the lead investigator and are to ensure that responses are collected from a chosen panel of experts. Responses will be made available to all researcher but stored with a participant identifying number known only to the lead investigator. Direct quotes of free text answers may be used, but these will not be traceable to the participant. All data will be stored within University of Plymouth cloud-based encrypted files (OneDrive)
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage any ethical issues?
|
Ethical approval to be obtain via the PEOS online ethics system
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage copyright and Intellectual Property Rights (IPR) issues?
|
Copyright and IPR of the data and subsequent written analysis will remain with the researchers
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will the data be stored and backed up during the research?
|
All data will be stored on Jisc or within University of Plymouth cloud-based encrypted files (OneDrive) during analysis
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will you manage access and security?
|
All data/responses from Jisc will be directly transferred and stored within University of Plymouth password protected, cloud-based encrypted files (OneDrive). Responses will be made available to all researchers. Participant identifying data will be known only to the lead investigator.
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
Which data are of long-term value and should be retained, shared, and/or preserved?
|
Response data will only be kept for the duration of the study and will be deleted from OneDrive once the analysis and write up have been completed (projected end date December 2024). Data may be disclosed in published works posted online for use by the scientific community. Research findings might also be presented at a conference or used in future research.
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
What is the long-term preservation plan for the dataset?
|
Data will only be kept for the duration of the study and will be deleted from OneDrive once the analysis and write up have been completed (projected end date December 2024)
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Data Sharing
|
How will you share the data?
|
Data may be disclosed in published works posted online for use by the scientific community. Research findings might also be presented at a conference or used in future research.
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Responsibilities and Resources
|
Who will be responsible for data management?
|
Principle investigator Participating researchers
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Responsibilities and Resources
|
What resources will you require to deliver your plan?
|
Jisc - no cost to researchers as utilising UoP subscription Onedrive - no cost to researchers as utilising UoP subscription
|
d344a1bca14c14643c6b87ccc514824f
|
dmponline.dcc.ac.uk
|
Data Documentation
|
Describe the documentation and metadata that you will use to to make your data reproducible and interoperable.
|
Describe which files you will provide, along with a brief description of the information they will contain, to make your data reproducible and interoperable. Describe the information that you will provide to make the data items in questions 2.1 reusable and interoperable. If using a specific metadata standard, please mention this below. For each data collection method, there is an in-depth explanation of the methodological procedures, and the questions used to reproduce the data are included in the appendix of the dissertation.
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Documentation
|
Describe the folder structure you will provide to make your data reproducible and interoperable.
|
Describe the folder structure, naming conventions and/or version control you will use for this project. For each data collection method, my folder structure will be organized into surveys, experiments, group interviews, and participant observations.
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Privacy and Security
|
Who is the controller of the personal data ?
|
The controller of the personal data is the entity which determines what is done with the data. In most cases the controller is Utrecht University. Utrecht university is the controller of the collected personal data. Nevertheless, the principal investigator of the research project will ensure that the data is handled and processed in accordance with the GDPR.
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Privacy and Security
|
How will ownership and intellectual property rights of the data be managed?
|
Describe who controls access to the data and who determines what is done to the data. The principal investigator will determine who has access to the data within the research and will control the data.
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Selection, Preservation & Sharing
|
Describe the data you will be preserving and the storage solution where it will be preserved?
|
Describe which data will be preserved under long-term storage. You may refer back to the data described in question 1.2 to specify which data will be preserved. Explain where you will preserve your data, and how procedures are applied to ensure the survival of the data for the long term. All collected data will be preserved. The data will be kept for at least five years. They will be stored in One Drive. One Drive of the Utrecht University is an infrastructure provides secure and (long-term) storage environment. The data will be preserved in a vault where the data are kept safe and cannot be tampered with
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Selection, Preservation & Sharing
|
Are specialized, uncommon or expensive software, tools or facilities required to use the data?
|
Please list any specialized, uncommon or expensive software, tools or facilities that are absolutely required to obtain, use or handle your data, if any. IBM SPSS
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Management Costs and Resources
|
What are the foreseeable research data management costs and how do you expect to cover them ?
|
Please specify the known and expected costs involved in managing, storing and sharing your data. Also explain how you plan to cover these costs. The costs for data storage are estimated to be approximately 500 euros per year, including licensing fees. These costs are covered by the researcher from their own funds.
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Management Costs and Resources
|
Who will be responsible for data management?
|
Please specify who is responsible for updating the DMP and ensuring it is being followed accordingly. The PhD student Mehmet Duran will be responsible for maintaining the DMP up to date. He also will be responsible for granting permissions and ensuring the data is deposited in the repository.
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Management Costs and Resources
|
State if you contacted an RDM consultant from Utrecht University to help you fill out your DMP.
|
Please list their name and date of contact. This is mandatory for NWO grants. Not applicable.
|
747d6e4159dffb178d432120ce706f59
|
dmponline.dcc.ac.uk
|
Data Collection
|
What data will you be collecting ?
|
Metabolomics data from biological samples. The raw data (vendor-specific files) will be converted into tabulated data in the format of .csv files.
|
6a7490c94ea6aec1c68cb346fac0bbe1
|
dmponline.dcc.ac.uk
|
Data Collection
|
Who will be involved in your data collection ?
|
The data associated to this project will be collected by a multidisciplinary team leaded by Dr. Raúl González-Domínguez (expertise in omics and analytical chemistry), in collaboration with clinicians from Hospital Universitario Puerta del Mar at Cádiz, Spain. Data collection, processing and quality control will be performed by adhering methodologies that have previously been validated and published by the research team and collaborators (DOI: 10.1007/978-1-0716-2699-3_11; 10.1007/978-1-0716-2699-3_12; 10.3390/metabo10040135; 10.1021/acs.analchem.3c03660). We will implement a standardized naming of the data generated along the consecution of the research project, according to the format: "acquisition date"_"project code"_"experiment"_"researcher name"_"versión of the document"; e.g., "20240626_IFEQ22/00014_Metabolomics_RGD". Moreover, the data from the project will have descriptive metadata according the DataCite Metadata scheme 4.0. The raw data is expected to have a total volume around 50 GB (in vendor-specific format, i.e., .d Agilent files). The data will be converted into the open data format .mzXML and then processed using open access webtools (i.e., MS-DIAL) to generate .csv files, containing tabulated concentrations of each of the analytes under investigation in the study population. These tables are expected to have a volume below 200 MB, thus facilitating their storage and sharing. The storage, preservation and sharing of the data will not imply additional costs. Along the consecution of the project, the data generated will be uploaded into an online shared folder (Google Drive) to facilitate its finding and use by authorized participating researchers, and the principal investigator (Drs. Raúl González Domínguez) will retain a backup copy in external hard drives. Furthermore, within the context of FAIR principles, the data will be deposited into a speciallized and open acces repository (Metabolomics Workbench), which allows the deposition of omics data without expiration dates neither additional costs. This deposition will be performed at the moment of publication of our results in peer-reviewed journals. We will use CC-BY license (https://creativecommons.org/licenses/by/4.0/). Dr. Raúl González Domínguez, with assisstance from personnel from the Research Managment Office at the affiliation entity, will be responsible for developing, implementing, overseeing, and updating this Data Managment Plan during and after the project ending.
|
6a7490c94ea6aec1c68cb346fac0bbe1
|
dmponline.dcc.ac.uk
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.