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mAr cel
BIBLIOTECARII MANAGERI AI
DATELOR,
BIBLIOTECILE API-URI
Constantinescu Nicolaie, programator kosson.ro

2.
O CULTURĂ A DATELOR - DATA
LITERACY!!!
Uneori tot ceea ce ai nevoie este să faci doar .trei pași

3.
Just as literacy refers to “the ability to read for
knowledge, write coherently and think critically about
printed material” data-literacy is the ability to
consume for knowledge, produce coherently and think
critically about data. Data literacy includes statistical
literacy but also understanding how to work
with large data sets, how they were produced, how to
connect various data sets and how to interpret them.

4.
Just as literacy refers to “the ability to read for
knowledge, write coherently and think critically about
printed material” data-literacy is the ability to
consume for knowledge, produce coherently and think
critically about data. Data literacy includes statistical
literacy but also understanding how to work
with large data sets, how they were produced, how to
connect various data sets and how to interpret them.

5.
Just as literacy refers to “the ability to read for
knowledge, write coherently and think critically about
printed material” data-literacy is the ability to
consume for knowledge, produce coherently and think
critically about data. Data literacy includes statistical
literacy but also understanding how to work
with large data sets, how they were produced, how to
connect various data sets and how to interpret them.

6.
Just as literacy refers to “the ability to read for
knowledge, write coherently and think critically about
printed material” data-literacy is the ability to
consume for knowledge, produce coherently and think
critically about data. Data literacy includes statistical
literacy but also understanding how to work
with large data sets, how they were produced, how to
connect various data sets and how to interpret them.

7.
CORE SKILLS FOR DATA MANAGEMENT
(DIGITAL CURATION CENTRE - 2008)

8.
We suggest that three of the most
relevant ways in which the library
community might influence
developments are:
The training and supply of data librarians

9.
RESEARCH DATA ALLIANCE
"Data librarians are professional library staff engaged
in managing research data, using research data as a
resource, or supporting researchers in these activities".

10.
RE-SKILLING FOR RESEARCH - 2012
Research Libraries UK is a long‐established consortium of the top research-led institutions
in the UK and Ireland. The study consisted of four work packages of information gathering
and analysis.

11.
Ability to advise on preserving research outputs
Knowledge to advise on data management and curation, including ingest, discovery,
access, dissemination, preservation, and portability
Knowledge to support researchers in complying with the various mandates of funders,
including open access requirements
Knowledge to advise on potential data manipulation tools used in the
discipline/subject
Knowledge to advise on data mining
Knowledge to advocate, and advise on, the use of metadata
Ability to advise on the preservation of project records
Knowledge of sources of research funding
Skills to develop metadata schema, and advise on discipline/subject standards and
practices, for individual research projects

12.
Ability to advise on preserving research outputs
Knowledge to advise on data management and curation, including ingest, discovery,
access, dissemination, preservation, and portability
Knowledge to support researchers in complying with the various mandates of funders,
including open access requirements
Knowledge to advise on potential data manipulation tools used in the
discipline/subject
Knowledge to advise on data mining
Knowledge to advocate, and advise on, the use of metadata
Ability to advise on the preservation of project records
Knowledge of sources of research funding
Skills to develop metadata schema, and advise on discipline/subject standards and
practices, for individual research projects

13.
ANOTHER LEAD TO THE "ELUSIVE DATA
LIBRARIAN"
Sometimes the same traits are to be found in the
sphere of digital humanities

14.
I took a deep dive into IASSIST job database and my
own collection of job adds over the years. The only job
descriptions I was interested in was strictly data
librarian.
There are
countles others that lend traits to the same profile...
JOBS (check me out @
http://iassistdata.org/resources/jobs/all)

15.
Ohhh, the White Rabit's Hole goes deep! Time is of the
essence.

16.
SEVEN DIRECTION FOR THE SKILLS AND
ABILITIES - FROM ADDS STRUCTURE
in what is collaborating with others (1)
what she/he organizes (2)
in what is involved (3)
for what is responsible of and what she/he
elaborates (4)
to what she/he contributes to (5)
fuzzy (6)
qualifications and specific requirements (7)

17.
1. IS COLLABORATING

18.
1. IS COLLABORATING

19.
develop curation, management and support services
for the curricular and research uses of data and
so ware, and track and implement new developments
in these areas as appropriate.
The Data Services Librarian will collaborate with a
librarian team in the delivery of information literacy
instruction and an evolving reference service model,
participate in a liaison role with teaching faculty, and
additionally, contribute to development of
instructional services for the college’s online and
hybrid programs

20.
3 - INVOLVEMENT IN
promoting collaborations among and across a heterogeneous data science and
informatics community
tracks federal and private funding agency requirements for data management,
openness, and retention
Modeling data and metadata to support ad-hoc and pre-built reporting
support for the sciences inclusive of information literacy, scholarly communications,
and research support needs in the sciences
Select and support datasets and statistical so ware to meet campus curricular and
research needs

21.
4 - RESPONSIBLE FOR
educational resources and offers training on policies, practices, and infrastructure for
data management, citation, licensing, sharing, use, preservation, etc.
Lead planning and implementation of GIS-oriented professional development for the
libraries
Teaching data literacy instruction as a component of
information literacy
Building a data set collection (including open access resources) along with the tools
necessary to work with the data

22.
4 - RESPONSIBLE FOR
Organize large amounts of data by moving and renaming files appropriately based on
detailed guidelines; file formats will range from Word, Excel, CSV, ASCII, and PDF to
databases and data from statistical packages like STATA and SPSS
Catalog data accurately and completely in an online content management system
Conduct research for proper metadata for datasets, including publishers, authors,
contributing and funding organizations],[Find, research, and eliminate inconsistencies
in metadata
Develop keywords based on the contents of data files and accompanying information
(code books, questionnaires, manuals)

23.
7 - QUALIFICATIONS
Master’s degree in the sciences, library or information science, computer science,
biocuration, or other appropriate degree in a field requiring data expertise OR
equivalent combination of education and experience
post-degree professional experience in metadata, data management, or related
Experience with geospatial analysis (GIS) and data visualization projects. Experience
with open-source and web-based GIS tools, such as OpenLayers, Leaflet, Open
GeoPortal, QGIS, ArcGIS Online, or other similar packages
Experience with at least one statistical so ware tool, such as STATA, SPSS, SAS or R
[R],[Javascript],[Python]
First-hand knowledge of issues and challenges related to data curation

24.
WHY?

25.
HOW DO WE START?

26.
MULȚUMESC!