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Diversifying NSIDC’s Data Professionals to Tackle an Evolving Cryospheric Data Landscape Heidi McCann and Donna J. Scott https://nsidc.org SciDataCon, September 12, 2016 Story telling, Oral History usually placed within a context. Can be powerful when told the right way even outside its environment Users are Arctic community members, non- Arctic Indigenous community members, researchers, teachers and the general public Data are sensitive and not necessarily free and open. Some stories are esoteric in nature. Communities NSIDC’s satellite and in-situ data sets Users are cryospheric researchers with expert knowledge of data sets Data are free and open to the public Services to work with the data have evolved from code snippets to GUI interfaces to help visualize the data Users are cross-disciplinary researchers with intermediate to expert knowledge of data sets Services are free and open to the public Story telling by NSIDC scientists began to help further explain the science behind the data to global communities Users range from novice to expert researchers Information is free and open to the public Citizen science (social) usually collected and analyzed by the general public in collaboration with professional scientists Users range from policy makers to teachers and Arctic community members, general public Information is free and and usually open to the public. There can be exceptions. Social science that links transdisciplinary data to study the long-term human Ecodynamics of the North Atlantic Users are archaeologists, anthropologists, teachers, students Data are open Challenges Supporting Community Evolution Evolution from data to tools to social science raise privacy, confidentiality and intellectual property questions that need to be addressed if we want to improve our data stewardship practices. The National Snow and Ice Data Center (NSIDC) is a data driven organization, archiving and distributing snow and ice data that supports research into the world’s frozen realms. From our historical catalog of satellite and in-situ data to a catalog that now includes social science data, we are evolving our support of unrestricted access to satellite records to data that can be highly sensitive and deal with privileged matters. This presentation will explore the challenges NSIDC has faced in dealing with the evolving landscape of cryospheric data and services, including the needs for diverse skillsets in our data professionals to accommodate the growing data catalog. We will touch on the need for a community understood definition of a data professional to enable future data management support in building effective data teams. Abstract Data Professional vs. Data Scientist Recently NSIDC formalized a Data Science Lead position. It was challenged as being an inappropriate definition for NSIDC. The narrow view point that a data scientist is one that works strictly to mine information through statistics and analytics, combined with a community definition that is not well understood led to a review and change to this NSIDC position title. Given the viewpoint of many at NSIDC, we wondered if having a Data Science position narrowed the scope of our mission. Are we now moving toward a shared understanding for data professional that can help us better define what we do as data managers and stewards? Data Professionals at NSIDC Seamless Data Management Restricted Data Intellectual Property Open Data Evolving Landscape of Data and Services

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Page 1: Diversifying NSIDC’s Data Professionals to Tackle an ... · Diversifying NSIDC’s Data Professionals to Tackle an Evolving Cryospheric Data Landscape Heidi McCann and Donna J

Diversifying NSIDC’s Data Professionals

to Tackle an Evolving Cryospheric Data Landscape

Heidi McCann and Donna J. Scott https://nsidc.org

SciDataCon, September 12, 2016

Story telling, Oral History usually placed

within a context. Can be powerful when told

the right way even outside its environment

Users are Arctic community members, non-

Arctic Indigenous community members,

researchers, teachers and the general public

Data are sensitive and not necessarily free

and open. Some stories are esoteric in nature.

Communities

NSIDC’s satellite and in-situ data sets

Users are cryospheric researchers with expert knowledge of data

sets

Data are free and open to the public

Services to work with the data have evolved from code snippets to

GUI interfaces to help visualize the data

Users are cross-disciplinary researchers with intermediate to expert

knowledge of data sets

Services are free and open to the public

Story telling by NSIDC scientists began to help further explain the science

behind the data to global communities

Users range from novice to expert researchers

Information is free and open to the public

Citizen science (social) usually collected and analyzed by

the general public in collaboration with professional

scientists

Users range from policy makers to teachers and Arctic

community members, general public

Information is free and and usually open to the public.

There can be exceptions.

Social science that links transdisciplinary data to study

the long-term human Ecodynamics of the North

Atlantic

Users are archaeologists, anthropologists, teachers,

students

Data are open

Challenges

Supporting Community Evolution

Evolution from data to tools to

social science raise privacy,

confidentiality and intellectual

property questions that need to be

addressed if we want to improve

our data stewardship practices.

The National Snow and Ice Data Center (NSIDC) is a data driven

organization, archiving and distributing snow and ice data that supports

research into the world’s frozen realms. From our historical catalog of

satellite and in-situ data to a catalog that now includes social science

data, we are evolving our support of unrestricted access to satellite

records to data that can be highly sensitive and deal with privileged

matters. This presentation will explore the challenges NSIDC has faced

in dealing with the evolving landscape of cryospheric data and services,

including the needs for diverse skillsets in our data professionals to

accommodate the growing data catalog. We will touch on the need for a

community understood definition of a data professional to enable future

data management support in building effective data teams.

Abstract

Data Professional vs. Data Scientist

Recently NSIDC formalized a Data Science Lead position. It was

challenged as being an inappropriate definition for NSIDC. The narrow

view point that a data scientist is one that works strictly to mine

information through statistics and analytics, combined with a community

definition that is not well understood led to a review and change to this

NSIDC position title.

Given the viewpoint of many at NSIDC, we wondered if having a Data

Science position narrowed the scope of our mission. Are we now moving

toward a shared understanding for data professional that can help us better

define what we do as data managers and stewards?

Data Professionals at NSIDC

Seamless Data Management

Restricted Data

Intellectual Property

Open Data

Evolving Landscape of Data and Services