how data will be handeled during and after the end of the research
various requirements
still not used (only for training) Data lifecycle Workflow - způsob práce ability to read, understand, create, and communicate data
its about competencies
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 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 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
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 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 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
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 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 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
agreed way of doing something
standard provide quality
two types
defacto standards created by a group of people uppon habits
by committe data about data
descriptive - they are changing with picture (location, time and exposure of a camera)
structural - describe descriptive metadata, or categories because data are moved one need to know, where data is
every hop on the way of data has a log with metadata
EU grant to run from 2014-2020
it supports open acess
it is succeded by Horizon Europe a scientific article, which is available before its pier rewied
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
