Publication

EPFL Library Research Data Management Fastguides

2026
Posters

Abstract

First introduced as posters by EPFL Library during the EPFL part of Love Data Week 2019 event (11-15 Feb. 2019, Lausanne), this set of 1-sheet guides is maintained and updated by EPFL Library RDM team. These Fast Guides provide abridged notions, advice and references for quick and practical Research Data Management (RDM) in the following topics: #01 Research Data: the basics#02 FAIR Data Principles#03 Cost of RDM#04 File Formats#05 Metadata#06 Code as Data#07 ELN - Electronic Lab Notebook#08 Personal Data Management#09 Data Masking#10 Storage, Publication and Preservation#11 DMP - Data Management Plan#12 Data & Code Licensing#13 Data/Code Publication PlatformA comprehensive file containing all the Fast Guides is also present in this publication, along with previous versions.

Official source

https://infoscience.epfl.ch/entities/publication/587a3883-87e6-486a-99d4-009ebcc918d6

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2026
Posters

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/587a3883-87e6-486a-99d4-009ebcc918d6

About this result

Related concepts (32)

Data management

Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems.

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

Related publications (26)

EPFL Library Research Data Management Fastguides

Chat with Graph Search

Journal research data policies in materials science

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Selective randomization inference for adaptive experiments