Uživatel:Juandev/DMP

Z Wikiverzity

Data Management Plan[editovat]

Data management plan (Wikipedia)[editovat]

  • how data will be handeled during and after the end of the research
  • various requirements
  • still not used (only for training)

Data management (wp)[editovat]

  • Data lifecycle
    replaced by information management, naming in its development phase
  • Workflow - způsob práce

Data literacy (wp)[editovat]

  • ability to read, understand, create, and communicate data
  • its about competencies

Write a data management plan (2014)[editovat]

  • think before research how the data will be managet during the project
  • DMP is often necesary with grant request
  • DMP should be updated during the research process

Data Management Plans in 3 minutes (2020)[editovat]

  • wanted by funding agencies
  • introduced by many universities
  • smoother research process
  • ensures, that some steps are not missed
  • it saves time of a researcher
  • types of data
    • data
    • images
    • interview transcripts
    • etc.
  • sharing data, archiving data, ethical and legal considerations
  • responsability for the data

Knowledge clip: Data Management Plans (DMPs) (2020)[editovat]

  • plan on how data will be handled during the research project
  • good planning
    • save time
    • avoid problems
    • it helps with budget (well thats crystal clear)
  • increase fairness of the data
  • institution adopt it because they see the power and reusability of the data
  • structure of DMP template
    • summary
      • what data are used (allready existing, new data), format, estimated size
    • metadata, documentation
      • what documentation will be provided to make data understandable
    • data storage, security
      • protection against lost, modification, who will have an access and to which extent
    • preservation
      • what data, for how long and where will be preserved after the end of the project
    • data sharing and reuse
      • if the data will be share, how and where, under which licenses or conditions
    • ethical, legal issues
      • e.g. is it ethical to collect personal data, or do I need an allowance to recolect the date from the officials?
    • responsability
      • who is responsable for what
    • costs
      • costs of the impementation DMP
      • do I need editional resources
    • life cycle of DMP (works only if the institution requires it)
      • proposal - DMP 1st version - updated versions - final version on the end of the project
    • some institutions or grant agencies provide DMP templates
    • there are also DMP tools
      • tools incorporate the templates
      • provide help
      • and allow to download DMP in different formats

Data Management Plan (2020)[editovat]

  • think systematically about a data
  • document with questions
  • DMP templates includes questionas about collecting, processing, sharing and preserving
  • file formats
  • programming languages to analyze data
  • expected volume
  • will the data will be reused
  • structure of folders and their naming
  • type of metadata and documentation
  • storing and securign data from loss
  • securing data
  • what have to be done, before starting the project
    • e.g. receive any approvals before starting the project
  • which data will be preserved and which publically shared in a repository
  • data are crucial for research paper
  • updates of DMP

Basics of Research Data Management (2018)[editovat]

  • data has the lifecycle from creation to preservation
  • the goal of sharing data is not to replicate research to obtain data if the previous research was made from public money
  • re3data.org - repository of data (but still hard to browse)
  • persistent identifiers for data are important like DOI

Data Management Basics and Best Practices (2017)[editovat]

  • libraries are trying to structure data
  • its important to know how the data is created to be able to create data management plant
    • its where librarians should help, but librarians doesnt know it - so its a work of a supervisor
    • libarians does not know the field so they are not sure with such questions
    • "data librarian"
  • the help should be provided by the department or faculty
  • if the data are lost, it could be the end of the carrier
  • data support conclussions
  • new discoveries could be done with the "data", i.g. in the case of sat imaginary of other planets, 11 years after they were discovered new features, because at the time of images creation, there wasnt same procedures
  • there were problems with templates, that researchers were copypasting them without thinking abou them
  • faculties does not understand the importance of metadata
  • data in UK from students does not belong to student, but probably the faculty
  • the library is helping researchers to find a place to store the data, but there are multiple repositories with multiple conditions
  • in 2011 in the UK started the process leading to data storing and DMP

Guidelines on FAIR Data Management in Horizon 2020 (2016)[editovat]

  • open access publishing is a must
  • open data is a proposal within Horizon 2020
  • FAIR data means
    • findable - nalezitelná
    • accesible - přístupná
    • interoparable - schopnost vzájemně spolupracovat
    • reusable - znovu využitelná
  • the Commission alow to avoid openes, because it understands, there are reasons not to go public
  • in this pilot (ORD pilot - Open Research Data) the goal is to validate the data for the results presented (prostě jestli někdo nepodvádí)
  • costs with open data could be claimed in grant request
  • participating in this pilot is voluntary and doesnt influence the grant request at all
  • DMP describes data lifecycle
  • DMP should include
    • the way of handling data during and after the project
    • data selection and procession
    • methodology and standard applied
    • shared or not shared data
    • curation and preservation of the data
  • first version of DMP should be submited 6 month from the start of the project
  • different ideas to push DMP review period
  • Horizon template consists of a set of questions, which have to be answered in detail
    • the exact form is not set
  • DMP should include timetable for versions
    • it is updated with reporting or before the end of the project, or if new data appear
  • it should have versions

Horizon Europe on Open science[editovat]

  • sharing data and knowledge in research as early as possible
  • its design to strhghten research and inovation
  • increase trust of society in research
  • OPEN SCIENCE PRATICES
    • open access
    • early sharing of research (preregistration, crowdsourcing sollutions)
    • open peer review
    • ensure reproducibility
  • Open Research Europe (ORE) platform will receive a pool of open articles at no cost
  • strenghten cooperation
  • open data principle: as open as possible, as closed as necessary
  • DMP should go with FAIR

Data Managment Plants in Horizon 2020: what beneficiaries think and what we can learn from their experience[editovat]

  • DMPes will be in Horizon Europe too
  • 840 DMPes avialable online
  • participants stated that their knowledge have increased working on DMP
  • in question is
    • GDPR and DMP - DMPH2020 template does not operate with GDPR
    • the amount of time spend on DMP and resources need to cover it
    • coordination between geographically distant partners
  • most participants archived at Zenodo
  • the majority used templates, some used DMP tool (but in fackt its a template too), some created DMP from scratch
  • feel of missing support from EC, while the recomendation is that for bigger organisation, the library should provide a support
  • 4 % received support from the library
  • most received support from program officer or reviewers
  • one of the beggist chalenge was "where to put the focus and how much details to give"
  • for 82 % has possitive attitude with DMP pilot
  • it was hard to use a template, but it helped them to stay on track with OS
  • if the plan is good, the work is half done was a notion of some participants
  • call for one repository for data (even the monopoly may cause problems)
  • THIS STUDY INCLUDES OPEN REVIEWS - interesting

Metadata standards and management[editovat]

5 Minute Metadata - What is a standard? (2016)[editovat]

  • agreed way of doing something
  • standard provide quality
  • two types
    • defacto standards created by a group of people uppon habits
    • by committe

5 Minute Metadata - What is metadata? (2016)[editovat]

  • data about data
    • descriptive - they are changing with picture (location, time and exposure of a camera)
    • structural - describe descriptive metadata, or categories

What is Metadata Management? (2014)[editovat]

  • because data are moved one need to know, where data is
  • every hop on the way of data has a log with metadata

Termíny[editovat]

Horizon 2020[editovat]

  • EU grant to run from 2014-2020
  • it supports open acess
  • it is succeded by Horizon Europe

Pre-print[editovat]

  • a scientific article, which is available before its pier rewied

DMP tools comparison[editovat]

  • the best way seems to be a template with questions
  • eg. ds Wizard looks complex and complicated
    • the advantage might be it provides certain lead (pointing out specific standards, which one can study further)
    • on the other side not all questions are coverede by specifi standards, resources and one should search anyway
    • some questions are not applicable
    • some questions are hard to understand and no Help or explantion is provided
    • another disadvantage is that the result text is pre -formated and sometimes dosnt look good, the manipulation might be challange
  • as for upper, EC H2020 template or DMP tool would be better than ds Wizard
  • some universities provides guidelines and basic structure without questions
  • the best approach would be to use a template with questions, and maybe place exact examples of standards, protocols and repositories, which might be used to fullfill the task, something like the competitor to ds Wizard

Quick Links[editovat]